pandasai.log

2024-02-04 20:53:37 [INFO] Question: Plot a pie chart of Genre columns in percentage
2024-02-04 20:53:38 [INFO] Running PandasAI with openai LLM...
2024-02-04 20:53:38 [INFO] Prompt ID: 53c38539-05b9-4025-8c08-a4d38b9fa575
2024-02-04 20:54:23 [INFO] Question: plot the pie chart of Genre column
2024-02-04 20:54:23 [INFO] Running PandasAI with openai LLM...
2024-02-04 20:54:23 [INFO] Prompt ID: 232176f9-a216-44ad-8bbc-69ec61d02944
2024-02-04 21:07:53 [INFO] Question: plot the pie chart of Genre column
2024-02-04 21:07:53 [INFO] Running PandasAI with openai LLM...
2024-02-04 21:07:53 [INFO] Prompt ID: 9141d871-bceb-4b3e-b59b-1579f11eb29b
2024-02-04 21:07:53 [INFO] Executing Step 0: CacheLookup
2024-02-04 21:07:53 [INFO] Executing Step 1: PromptGeneration
2024-02-04 21:07:53 [INFO] Using prompt: <dataframe>
dfs[0]:15509x10
Name,Year,Duration,Genre,Rating,Votes,Director,Actor 1,Actor 2,Actor 3
#Homecoming,(2021),90 min,"Drama, Musical",,,Soumyajit Majumdar,Sayani Gupta,Plabita Borthakur,Roy Angana
#Gadhvi (He thought he was Gandhi),(2019),109 min,Drama,7.0,8,Gaurav Bakshi,Rasika Dugal,Vivek Ghamande,Arvind Jangid
 ,,,Drama,,,J.S. Randhawa,Manmauji,Birbal,Rajendra Bhatia
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: plot the pie chart of Genre column
Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-04 21:07:53 [INFO] Executing Step 2: CodeGenerator
2024-02-04 21:08:01 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-04 21:08:01 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['Genre'].value_counts().plot(kind='pie', autopct='%1.1f%%')
plt.axis('equal')
plt.title('Genre Distribution')

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": "pie_chart.png"}
            ```
            
2024-02-04 21:08:01 [INFO] Executing Step 3: CachePopulation
2024-02-04 21:08:01 [INFO] Executing Step 4: CodeExecution
2024-02-04 21:08:01 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-04 21:08:01 [INFO] 
Code running:
```
df = dfs[0]
df['Genre'].value_counts().plot(kind='pie', autopct='%1.1f%%')
plt.axis('equal')
plt.title('Genre Distribution')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-04 21:08:03 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-04 21:08:03 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'
. Retrying
2024-02-04 21:08:03 [INFO] Using prompt: <dataframe>
dfs[0]:15509x10
Name,Year,Duration,Genre,Rating,Votes,Director,Actor 1,Actor 2,Actor 3
#Homecoming,(2021),90 min,"Drama, Musical",,,Soumyajit Majumdar,Sayani Gupta,Plabita Borthakur,Roy Angana
#Gadhvi (He thought he was Gandhi),(2019),109 min,Drama,7.0,8,Gaurav Bakshi,Rasika Dugal,Vivek Ghamande,Arvind Jangid
 ,,,Drama,,,J.S. Randhawa,Manmauji,Birbal,Rajendra Bhatia
</dataframe>

The user asked the following question:
Q: plot the pie chart of Genre column

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['Genre'].value_counts().plot(kind='pie', autopct='%1.1f%%')
plt.axis('equal')
plt.title('Genre Distribution')

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": "pie_chart.png"}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'


Fix the python code above and return the new python code:
2024-02-04 21:08:11 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-04 21:08:11 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-04 21:08:11 [INFO] 
Code running:
```
df = dfs[0]
genre_counts = df['Genre'].value_counts()
genre_counts.plot(kind='pie', autopct='%1.1f%%')
plt.axis('equal')
plt.title('Genre Distribution')
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-04 21:08:19 [INFO] Executing Step 5: ResultValidation
2024-02-04 21:08:19 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-04 21:08:19 [INFO] Executed in: 26.199001789093018s
2024-02-04 21:08:19 [INFO] Executing Step 6: ResultParsing
2024-02-04 21:11:21 [INFO] Question: give me the shape of DataFrame
2024-02-04 21:11:21 [INFO] Running PandasAI with openai LLM...
2024-02-04 21:11:21 [INFO] Prompt ID: b4d8d437-e9d7-4af4-9552-dea6e3297844
2024-02-04 21:11:21 [INFO] Executing Step 0: CacheLookup
2024-02-04 21:11:21 [INFO] Executing Step 1: PromptGeneration
2024-02-04 21:11:21 [INFO] Using prompt: <dataframe>
dfs[0]:15509x10
Name,Year,Duration,Genre,Rating,Votes,Director,Actor 1,Actor 2,Actor 3
 ,,,Drama,,,J.S. Randhawa,Manmauji,Birbal,Rajendra Bhatia
#Homecoming,(2021),90 min,"Drama, Musical",,,Soumyajit Majumdar,Sayani Gupta,Plabita Borthakur,Roy Angana
#Gadhvi (He thought he was Gandhi),(2019),109 min,Drama,7.0,8,Gaurav Bakshi,Rasika Dugal,Vivek Ghamande,Arvind Jangid
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: give me the shape of DataFrame
Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-04 21:11:21 [INFO] Executing Step 2: CodeGenerator
2024-02-04 21:11:25 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-04 21:11:25 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd

# Write code here
shape = dfs[0].shape
result = {"type": "string", "value": f"The shape of the DataFrame is {shape}."}
            ```
            
2024-02-04 21:11:25 [INFO] Executing Step 3: CachePopulation
2024-02-04 21:11:25 [INFO] Executing Step 4: CodeExecution
2024-02-04 21:11:25 [INFO] 
Code running:
```
shape = dfs[0].shape
result = {'type': 'string', 'value': f'The shape of the DataFrame is {shape}.'}
        ```
2024-02-04 21:11:25 [INFO] Executing Step 5: ResultValidation
2024-02-04 21:11:25 [INFO] Answer: {'type': 'string', 'value': 'The shape of the DataFrame is (15509, 10).'}
2024-02-04 21:11:25 [INFO] Executed in: 3.6005451679229736s
2024-02-04 21:11:25 [INFO] Executing Step 6: ResultParsing
2024-02-04 21:11:43 [INFO] Question: plot the pie chart of Genre column
2024-02-04 21:11:43 [INFO] Running PandasAI with openai LLM...
2024-02-04 21:11:43 [INFO] Prompt ID: 29c1cd1a-bb8b-4687-8749-825c1be2f273
2024-02-04 21:11:43 [INFO] Executing Step 0: CacheLookup
2024-02-04 21:11:43 [INFO] Using cached response
2024-02-04 21:11:43 [INFO] Executing Step 1: PromptGeneration
2024-02-04 21:11:43 [INFO] Executing Step 2: CodeGenerator
2024-02-04 21:11:43 [INFO] Executing Step 3: CachePopulation
2024-02-04 21:11:43 [INFO] Executing Step 4: CodeExecution
2024-02-04 21:11:43 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-04 21:11:43 [INFO] 
Code running:
```
df = dfs[0]
df['Genre'].value_counts().plot(kind='pie', autopct='%1.1f%%')
plt.axis('equal')
plt.title('Genre Distribution')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-04 21:11:45 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-04 21:11:45 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'
. Retrying
2024-02-04 21:11:45 [INFO] Using prompt: <dataframe>
dfs[0]:15509x10
Name,Year,Duration,Genre,Rating,Votes,Director,Actor 1,Actor 2,Actor 3
#Gadhvi (He thought he...,(2019),109 min,Drama,7.0,8,Gaurav Bakshi,Rasika Dugal,Vivek Ghamande,Arvind Jangid
 ...,,,Drama,,,J.S. Randhawa,Manmauji,Birbal,Rajendra Bhatia
#Homecoming...,(2021),90 min,"Drama, Musical",,,Soumyajit Majumdar,Sayani Gupta,Plabita Borthakur,Roy Angana
</dataframe>

The user asked the following question:
Q: plot the pie chart of Genre column

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['Genre'].value_counts().plot(kind='pie', autopct='%1.1f%%')
plt.axis('equal')
plt.title('Genre Distribution')

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": "pie_chart.png"}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'


Fix the python code above and return the new python code:
2024-02-04 21:11:55 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-04 21:11:55 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-04 21:11:55 [INFO] 
Code running:
```
df = dfs[0]
genre_counts = df['Genre'].value_counts()
genre_counts.plot(kind='pie', autopct='%1.1f%%')
plt.axis('equal')
plt.title('Genre Distribution')
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-04 21:12:02 [INFO] Executing Step 5: ResultValidation
2024-02-04 21:12:02 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-04 21:12:02 [INFO] Executed in: 18.577052116394043s
2024-02-04 21:12:02 [INFO] Executing Step 6: ResultParsing
2024-02-04 21:20:43 [INFO] Question: what is the shape of DataFrame
2024-02-04 21:20:44 [INFO] Running PandasAI with openai LLM...
2024-02-04 21:20:44 [INFO] Prompt ID: 31a5fc21-94d3-44bd-9837-79fcf548a15b
2024-02-04 21:20:44 [INFO] Executing Step 0: CacheLookup
2024-02-04 21:20:44 [INFO] Executing Step 1: PromptGeneration
2024-02-04 21:20:44 [INFO] Using prompt: <dataframe>
dfs[0]:15509x10
Name,Year,Duration,Genre,Rating,Votes,Director,Actor 1,Actor 2,Actor 3
#Homecoming,(2021),90 min,"Drama, Musical",,,Soumyajit Majumdar,Sayani Gupta,Plabita Borthakur,Roy Angana
#Gadhvi (He thought he was Gandhi),(2019),109 min,Drama,7.0,8,Gaurav Bakshi,Rasika Dugal,Vivek Ghamande,Arvind Jangid
 ,,,Drama,,,J.S. Randhawa,Manmauji,Birbal,Rajendra Bhatia
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: what is the shape of DataFrame
Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-04 21:20:44 [INFO] Executing Step 2: CodeGenerator
2024-02-04 21:20:54 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-04 21:20:54 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd

# Write code here
shape = dfs[0].shape
result = {"type": "string", "value": f"The shape of the DataFrame is {shape}."}
            ```
            
2024-02-04 21:20:54 [INFO] Executing Step 3: CachePopulation
2024-02-04 21:20:54 [INFO] Executing Step 4: CodeExecution
2024-02-04 21:20:54 [INFO] 
Code running:
```
shape = dfs[0].shape
result = {'type': 'string', 'value': f'The shape of the DataFrame is {shape}.'}
        ```
2024-02-04 21:20:54 [INFO] Executing Step 5: ResultValidation
2024-02-04 21:20:54 [INFO] Answer: {'type': 'string', 'value': 'The shape of the DataFrame is (15509, 10).'}
2024-02-04 21:20:54 [INFO] Executed in: 10.81865382194519s
2024-02-04 21:20:54 [INFO] Executing Step 6: ResultParsing
2024-02-04 21:21:30 [INFO] Question: plot the pie chart of Genre column
2024-02-04 21:21:30 [INFO] Running PandasAI with openai LLM...
2024-02-04 21:21:30 [INFO] Prompt ID: a7fc435d-6f73-458a-bbfa-f92a130b2aea
2024-02-04 21:21:30 [INFO] Executing Step 0: CacheLookup
2024-02-04 21:21:30 [INFO] Using cached response
2024-02-04 21:21:30 [INFO] Executing Step 1: PromptGeneration
2024-02-04 21:21:30 [INFO] Executing Step 2: CodeGenerator
2024-02-04 21:21:30 [INFO] Executing Step 3: CachePopulation
2024-02-04 21:21:30 [INFO] Executing Step 4: CodeExecution
2024-02-04 21:21:30 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-04 21:21:31 [INFO] 
Code running:
```
df = dfs[0]
df['Genre'].value_counts().plot(kind='pie', autopct='%1.1f%%')
plt.axis('equal')
plt.title('Genre Distribution')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-04 21:21:34 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-04 21:21:34 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'
. Retrying
2024-02-04 21:21:34 [INFO] Using prompt: <dataframe>
dfs[0]:15509x10
Name,Year,Duration,Genre,Rating,Votes,Director,Actor 1,Actor 2,Actor 3
#Homecoming,(2021),90 min,"Drama, Musical",,,Soumyajit Majumdar,Sayani Gupta,Plabita Borthakur,Roy Angana
 ,,,Drama,,,J.S. Randhawa,Manmauji,Birbal,Rajendra Bhatia
#Gadhvi (He thought he was Gandhi),(2019),109 min,Drama,7.0,8,Gaurav Bakshi,Rasika Dugal,Vivek Ghamande,Arvind Jangid
</dataframe>

The user asked the following question:
Q: plot the pie chart of Genre column

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['Genre'].value_counts().plot(kind='pie', autopct='%1.1f%%')
plt.axis('equal')
plt.title('Genre Distribution')

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": "pie_chart.png"}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'


Fix the python code above and return the new python code:
2024-02-04 21:21:42 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-04 21:21:42 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-04 21:21:42 [INFO] 
Code running:
```
df = dfs[0]
genre_counts = df['Genre'].value_counts()
genre_counts.plot(kind='pie', autopct='%1.1f%%')
plt.axis('equal')
plt.title('Genre Distribution')
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-04 21:21:50 [INFO] Executing Step 5: ResultValidation
2024-02-04 21:21:50 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-04 21:21:50 [INFO] Executed in: 19.580251693725586s
2024-02-04 21:21:50 [INFO] Executing Step 6: ResultParsing
2024-02-04 21:22:56 [INFO] Question: Give me the code the use to find the null values
2024-02-04 21:22:56 [INFO] Running PandasAI with openai LLM...
2024-02-04 21:22:56 [INFO] Prompt ID: 3dfbaad1-c1e1-4ebe-a85e-0f0fe78fadf1
2024-02-04 21:22:56 [INFO] Executing Step 0: CacheLookup
2024-02-04 21:22:56 [INFO] Executing Step 1: PromptGeneration
2024-02-04 21:22:56 [INFO] Using prompt: <dataframe>
dfs[0]:15509x10
Name,Year,Duration,Genre,Rating,Votes,Director,Actor 1,Actor 2,Actor 3
#Homecoming,(2021),90 min,"Drama, Musical",,,Soumyajit Majumdar,Sayani Gupta,Plabita Borthakur,Roy Angana
#Gadhvi (He thought he was Gandhi),(2019),109 min,Drama,7.0,8,Gaurav Bakshi,Rasika Dugal,Vivek Ghamande,Arvind Jangid
 ,,,Drama,,,J.S. Randhawa,Manmauji,Birbal,Rajendra Bhatia
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: Give me the code the use to find the null values
Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-04 21:22:56 [INFO] Executing Step 2: CodeGenerator
2024-02-04 21:23:04 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-04 21:23:04 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd

# Write code here
null_values = []
for df in dfs:
    null_values.append(df.isnull().sum())

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {
    "type": "dataframe",
    "value": pd.concat(null_values, axis=1, keys=range(len(dfs)))
}
            ```
            
2024-02-04 21:23:04 [INFO] Executing Step 3: CachePopulation
2024-02-04 21:23:04 [INFO] Executing Step 4: CodeExecution
2024-02-04 21:23:04 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-04 21:23:04 [INFO] 
Code running:
```
null_values = []
for df in dfs:
    null_values.append(df.isnull().sum())
result = {'type': 'dataframe', 'value': pd.concat(null_values, axis=1, keys=range(len(dfs)))}
        ```
2024-02-04 21:23:04 [INFO] Executing Step 5: ResultValidation
2024-02-04 21:23:04 [INFO] Answer: {'type': 'dataframe', 'value':              0
Name         0
Year       528
Duration  8269
Genre     1877
Rating    7590
Votes     7589
Director   525
Actor 1   1617
Actor 2   2384
Actor 3   3144}
2024-02-04 21:23:04 [INFO] Executed in: 8.209168910980225s
2024-02-04 21:23:04 [INFO] Executing Step 6: ResultParsing
2024-02-04 21:25:07 [INFO] Question: give the python code for find the null values in dataframe
2024-02-04 21:25:07 [INFO] Running PandasAI with openai LLM...
2024-02-04 21:25:07 [INFO] Prompt ID: 1b2709b1-0f33-43c2-8e7a-1f001e78f709
2024-02-04 21:25:07 [INFO] Executing Step 0: CacheLookup
2024-02-04 21:25:07 [INFO] Executing Step 1: PromptGeneration
2024-02-04 21:25:07 [INFO] Using prompt: <dataframe>
dfs[0]:15509x10
Name,Year,Duration,Genre,Rating,Votes,Director,Actor 1,Actor 2,Actor 3
 ,,,Drama,,,J.S. Randhawa,Manmauji,Birbal,Rajendra Bhatia
#Homecoming,(2021),90 min,"Drama, Musical",,,Soumyajit Majumdar,Sayani Gupta,Plabita Borthakur,Roy Angana
#Gadhvi (He thought he was Gandhi),(2019),109 min,Drama,7.0,8,Gaurav Bakshi,Rasika Dugal,Vivek Ghamande,Arvind Jangid
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: give the python code for find the null values in dataframe
Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-04 21:25:07 [INFO] Executing Step 2: CodeGenerator
2024-02-04 21:25:16 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-04 21:25:16 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd

# Write code here
null_values = []
for df in dfs:
    null_values.append(df.isnull().sum())

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {
    "type": "dataframe",
    "value": pd.concat(null_values, axis=1, keys=range(len(dfs)))
}
            ```
            
2024-02-04 21:25:16 [INFO] Executing Step 3: CachePopulation
2024-02-04 21:25:16 [INFO] Executing Step 4: CodeExecution
2024-02-04 21:25:16 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-04 21:25:16 [INFO] 
Code running:
```
null_values = []
for df in dfs:
    null_values.append(df.isnull().sum())
result = {'type': 'dataframe', 'value': pd.concat(null_values, axis=1, keys=range(len(dfs)))}
        ```
2024-02-04 21:25:16 [INFO] Executing Step 5: ResultValidation
2024-02-04 21:25:16 [INFO] Answer: {'type': 'dataframe', 'value':              0
Name         0
Year       528
Duration  8269
Genre     1877
Rating    7590
Votes     7589
Director   525
Actor 1   1617
Actor 2   2384
Actor 3   3144}
2024-02-04 21:25:16 [INFO] Executed in: 9.34304690361023s
2024-02-04 21:25:16 [INFO] Executing Step 6: ResultParsing
2024-02-05 10:25:37 [INFO] Question: Who gets paid the most
2024-02-05 10:25:38 [INFO] Running PandasAI with openai LLM...
2024-02-05 10:25:38 [INFO] Prompt ID: fd16536e-b805-48e8-ad7b-16c82df79e92
2024-02-05 10:25:38 [INFO] Executing Step 0: CacheLookup
2024-02-05 10:25:38 [INFO] Executing Step 1: PromptGeneration
2024-02-05 10:25:38 [INFO] Using prompt: <dataframe>
dfs[0]:5x3
EmployeeID,Name,Department
2,Emma,Sales
3,Liam,IT
1,John,HR
</dataframe>
<dataframe>
dfs[1]:5x2
EmployeeID,Salary
2,6000
3,4500
1,5000
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: Who gets paid the most
Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-05 10:25:38 [INFO] Executing Step 2: CodeGenerator
2024-02-05 10:25:46 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 10:25:46 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd

# Write code here
df1 = dfs[0]
df2 = dfs[1]

merged_df = pd.merge(df1, df2, on='EmployeeID')
highest_salary = merged_df['Salary'].max()
employee_with_highest_salary = merged_df.loc[merged_df['Salary'] == highest_salary, 'Name'].values[0]

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {
    "type": "string",
    "value": f"The employee with the highest salary is {employee_with_highest_salary}."
}
            ```
            
2024-02-05 10:25:46 [INFO] Executing Step 3: CachePopulation
2024-02-05 10:25:46 [INFO] Executing Step 4: CodeExecution
2024-02-05 10:25:46 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 10:25:46 [INFO] 
Code running:
```
df1 = dfs[0]
df2 = dfs[1]
merged_df = pd.merge(df1, df2, on='EmployeeID')
highest_salary = merged_df['Salary'].max()
employee_with_highest_salary = merged_df.loc[merged_df['Salary'] == highest_salary, 'Name'].values[0]
result = {'type': 'string', 'value': f'The employee with the highest salary is {employee_with_highest_salary}.'}
        ```
2024-02-05 10:25:46 [INFO] Executing Step 5: ResultValidation
2024-02-05 10:25:46 [INFO] Answer: {'type': 'string', 'value': 'The employee with the highest salary is Olivia.'}
2024-02-05 10:25:46 [INFO] Executed in: 9.137559652328491s
2024-02-05 10:25:46 [INFO] Executing Step 6: ResultParsing
2024-02-05 11:48:22 [INFO] Question: Which are the 5 happiest countries?
2024-02-05 11:48:22 [INFO] Running PandasAI with openai LLM...
2024-02-05 11:48:22 [INFO] Prompt ID: 5cc50db8-74dd-4dd5-8ae9-fc47618a80f4
2024-02-05 11:48:22 [INFO] Executing Step 0: CacheLookup
2024-02-05 11:48:22 [INFO] Executing Step 1: PromptGeneration
2024-02-05 11:48:22 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
United Kingdom,2891615567872,7.16
France,2411255037952,6.66
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: Which are the 5 happiest countries?
Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-05 11:48:22 [INFO] Executing Step 2: CodeGenerator
2024-02-05 11:48:27 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 11:48:27 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd

# Write code here
df = dfs[0]
top_5_happiest_countries = df.nlargest(5, 'happiness_index')['country'].tolist()

# Declare result var
result = {
    "type": "string",
    "value": f"The 5 happiest countries are: {', '.join(top_5_happiest_countries)}."
}
            ```
            
2024-02-05 11:48:27 [INFO] Executing Step 3: CachePopulation
2024-02-05 11:48:27 [INFO] Executing Step 4: CodeExecution
2024-02-05 11:48:27 [INFO] 
Code running:
```
df = dfs[0]
top_5_happiest_countries = df.nlargest(5, 'happiness_index')['country'].tolist()
result = {'type': 'string', 'value': f"The 5 happiest countries are: {', '.join(top_5_happiest_countries)}."}
        ```
2024-02-05 11:48:27 [INFO] Executing Step 5: ResultValidation
2024-02-05 11:48:27 [INFO] Answer: {'type': 'string', 'value': 'The 5 happiest countries are: Canada, Australia, United Kingdom, Germany, United States.'}
2024-02-05 11:48:27 [INFO] Executed in: 5.112993001937866s
2024-02-05 11:48:27 [INFO] Executing Step 6: ResultParsing
2024-02-05 11:49:00 [INFO] Question: Plot the histogram of countries showing for each the gdp, using different colors for each bar
2024-02-05 11:49:00 [INFO] Running PandasAI with openai LLM...
2024-02-05 11:49:00 [INFO] Prompt ID: dea1b250-1e32-4112-8d0e-b44870441c07
2024-02-05 11:49:00 [INFO] Executing Step 0: CacheLookup
2024-02-05 11:49:00 [INFO] Executing Step 1: PromptGeneration
2024-02-05 11:49:00 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
France,2411255037952,6.66
United Kingdom,2891615567872,7.16
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: Plot the histogram of countries showing for each the gdp, using different colors for each bar
Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-05 11:49:00 [INFO] Executing Step 2: CodeGenerator
2024-02-05 11:49:05 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 11:49:05 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
plt.bar(df['country'], df['gdp'], color=['red', 'green', 'blue'])
plt.xlabel('Country')
plt.ylabel('GDP')
plt.title('GDP by Country')
plt.xticks(rotation=45)
plt.show()

# Declare result var
result = {
    "type": "plot",
    "value": "temp_chart.png"
}
            ```
            
2024-02-05 11:49:05 [INFO] Executing Step 3: CachePopulation
2024-02-05 11:49:05 [INFO] Executing Step 4: CodeExecution
2024-02-05 11:49:05 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 11:49:05 [INFO] 
Code running:
```
df = dfs[0]
plt.bar(df['country'], df['gdp'], color=['red', 'green', 'blue'])
plt.xlabel('Country')
plt.ylabel('GDP')
plt.title('GDP by Country')
plt.xticks(rotation=45)
plt.show()
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 11:49:06 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 11:49:06 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'
. Retrying
2024-02-05 11:49:06 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
France,2411255037952,6.66
United Kingdom,2891615567872,7.16
</dataframe>

The user asked the following question:
Q: Plot the histogram of countries showing for each the gdp, using different colors for each bar

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
plt.bar(df['country'], df['gdp'], color=['red', 'green', 'blue'])
plt.xlabel('Country')
plt.ylabel('GDP')
plt.title('GDP by Country')
plt.xticks(rotation=45)
plt.show()

# Declare result var
result = {
    "type": "plot",
    "value": "temp_chart.png"
}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'


Fix the python code above and return the new python code:
2024-02-05 11:49:13 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 11:49:13 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 11:49:13 [INFO] 
Code running:
```
df = dfs[0]
plt.bar(df['country'], df['gdp'], color=['red', 'green', 'blue'])
plt.xlabel('Country')
plt.ylabel('GDP')
plt.title('GDP by Country')
plt.xticks(rotation=45)
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
plt.close()
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 11:49:13 [INFO] Executing Step 5: ResultValidation
2024-02-05 11:49:13 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 11:49:13 [INFO] Executed in: 13.11182451248169s
2024-02-05 11:49:13 [INFO] Executing Step 6: ResultParsing
2024-02-05 11:50:00 [INFO] Question: what is the shape of this dataframe
2024-02-05 11:50:00 [INFO] Running PandasAI with openai LLM...
2024-02-05 11:50:00 [INFO] Prompt ID: 2ed49343-e0fd-4251-a4ec-73224207b1a3
2024-02-05 11:50:00 [INFO] Executing Step 0: CacheLookup
2024-02-05 11:50:00 [INFO] Executing Step 1: PromptGeneration
2024-02-05 11:50:00 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
France,9444903624,6.66
United Kingdom,3206027528,7.16
United States,6968812523,6.94
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: what is the shape of this dataframe
Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-05 11:50:00 [INFO] Executing Step 2: CodeGenerator
2024-02-05 11:50:07 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 11:50:07 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd

# Write code here
shape = dfs[0].shape

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "string", "value": f"The shape of the dataframe is {shape}."}
            ```
            
2024-02-05 11:50:07 [INFO] Executing Step 3: CachePopulation
2024-02-05 11:50:07 [INFO] Executing Step 4: CodeExecution
2024-02-05 11:50:07 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 11:50:07 [INFO] 
Code running:
```
shape = dfs[0].shape
result = {'type': 'string', 'value': f'The shape of the dataframe is {shape}.'}
        ```
2024-02-05 11:50:07 [INFO] Executing Step 5: ResultValidation
2024-02-05 11:50:07 [INFO] Answer: {'type': 'string', 'value': 'The shape of the dataframe is (10, 3).'}
2024-02-05 11:50:07 [INFO] Executed in: 7.502747058868408s
2024-02-05 11:50:07 [INFO] Executing Step 6: ResultParsing
2024-02-05 11:52:08 [INFO] Question: Which are the 5 happiest countries?
2024-02-05 11:52:08 [INFO] Running PandasAI with openai LLM...
2024-02-05 11:52:08 [INFO] Prompt ID: 40dd14b4-7254-413b-a6de-88b4298cab01
2024-02-05 11:52:08 [INFO] Executing Step 0: CacheLookup
2024-02-05 11:52:08 [INFO] Using cached response
2024-02-05 11:52:08 [INFO] Executing Step 1: PromptGeneration
2024-02-05 11:52:08 [INFO] Executing Step 2: CodeGenerator
2024-02-05 11:52:08 [INFO] Executing Step 3: CachePopulation
2024-02-05 11:52:08 [INFO] Executing Step 4: CodeExecution
2024-02-05 11:52:08 [INFO] 
Code running:
```
df = dfs[0]
top_5_happiest_countries = df.nlargest(5, 'happiness_index')['country'].tolist()
result = {'type': 'string', 'value': f"The 5 happiest countries are: {', '.join(top_5_happiest_countries)}."}
        ```
2024-02-05 11:52:09 [INFO] Executing Step 5: ResultValidation
2024-02-05 11:52:09 [INFO] Answer: {'type': 'string', 'value': 'The 5 happiest countries are: Canada, Australia, United Kingdom, Germany, United States.'}
2024-02-05 11:52:09 [INFO] Executed in: 0.7344303131103516s
2024-02-05 11:52:09 [INFO] Executing Step 6: ResultParsing
2024-02-05 11:52:24 [INFO] Question: Plot the histogram of countries showing for each the gdp, using different colors for each bar
2024-02-05 11:52:24 [INFO] Running PandasAI with openai LLM...
2024-02-05 11:52:24 [INFO] Prompt ID: 7e27b0ea-547e-45d9-82e6-c4b797840655
2024-02-05 11:52:24 [INFO] Executing Step 0: CacheLookup
2024-02-05 11:52:24 [INFO] Using cached response
2024-02-05 11:52:24 [INFO] Executing Step 1: PromptGeneration
2024-02-05 11:52:24 [INFO] Executing Step 2: CodeGenerator
2024-02-05 11:52:24 [INFO] Executing Step 3: CachePopulation
2024-02-05 11:52:24 [INFO] Executing Step 4: CodeExecution
2024-02-05 11:52:24 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 11:52:24 [INFO] 
Code running:
```
df = dfs[0]
plt.bar(df['country'], df['gdp'], color=['red', 'green', 'blue'])
plt.xlabel('Country')
plt.ylabel('GDP')
plt.title('GDP by Country')
plt.xticks(rotation=45)
plt.show()
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 11:52:24 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 11:52:24 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'
. Retrying
2024-02-05 11:52:24 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United Kingdom,9458097845,7.16
United States,0559553012,6.94
France,7214789124,6.66
</dataframe>

The user asked the following question:
Q: Plot the histogram of countries showing for each the gdp, using different colors for each bar

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
plt.bar(df['country'], df['gdp'], color=['red', 'green', 'blue'])
plt.xlabel('Country')
plt.ylabel('GDP')
plt.title('GDP by Country')
plt.xticks(rotation=45)
plt.show()

# Declare result var
result = {
    "type": "plot",
    "value": "temp_chart.png"
}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'


Fix the python code above and return the new python code:
2024-02-05 11:52:30 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 11:52:30 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 11:52:30 [INFO] 
Code running:
```
df = dfs[0]
plt.bar(df['country'], df['gdp'], color=['red', 'green', 'blue'])
plt.xlabel('Country')
plt.ylabel('GDP')
plt.title('GDP by Country')
plt.xticks(rotation=45)
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
plt.close()
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
result
        ```
2024-02-05 11:52:30 [INFO] Executing Step 5: ResultValidation
2024-02-05 11:52:30 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 11:52:30 [INFO] Executed in: 6.637431859970093s
2024-02-05 11:52:30 [INFO] Executing Step 6: ResultParsing
2024-02-05 11:52:49 [INFO] Question: what is the shape of the dataframe
2024-02-05 11:52:49 [INFO] Running PandasAI with openai LLM...
2024-02-05 11:52:49 [INFO] Prompt ID: 4eec2f76-b3e6-4b98-97ab-54d7db1f48ee
2024-02-05 11:52:49 [INFO] Executing Step 0: CacheLookup
2024-02-05 11:52:49 [INFO] Executing Step 1: PromptGeneration
2024-02-05 11:52:49 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United Kingdom,4614830500,7.16
United States,9705440394,6.94
France,5491072725,6.66
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: what is the shape of the dataframe
Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-05 11:52:49 [INFO] Executing Step 2: CodeGenerator
2024-02-05 11:52:56 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 11:52:56 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd

# Write code here
shape = dfs[0].shape

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "string", "value": f"The shape of the dataframe is {shape}."}
            ```
            
2024-02-05 11:52:56 [INFO] Executing Step 3: CachePopulation
2024-02-05 11:52:56 [INFO] Executing Step 4: CodeExecution
2024-02-05 11:52:56 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 11:52:56 [INFO] 
Code running:
```
shape = dfs[0].shape
result = {'type': 'string', 'value': f'The shape of the dataframe is {shape}.'}
        ```
2024-02-05 11:52:56 [INFO] Executing Step 5: ResultValidation
2024-02-05 11:52:56 [INFO] Answer: {'type': 'string', 'value': 'The shape of the dataframe is (10, 3).'}
2024-02-05 11:52:56 [INFO] Executed in: 6.597570180892944s
2024-02-05 11:52:56 [INFO] Executing Step 6: ResultParsing
2024-02-05 12:00:19 [INFO] Question: Which are the 5 happiest countries?
2024-02-05 12:00:19 [INFO] Running PandasAI with openai LLM...
2024-02-05 12:00:19 [INFO] Prompt ID: 544fa400-db6a-4627-a8b8-c20837136343
2024-02-05 12:00:19 [INFO] Executing Step 0: CacheLookup
2024-02-05 12:00:19 [INFO] Using cached response
2024-02-05 12:00:19 [INFO] Executing Step 1: PromptGeneration
2024-02-05 12:00:19 [INFO] Executing Step 2: CodeGenerator
2024-02-05 12:00:19 [INFO] Executing Step 3: CachePopulation
2024-02-05 12:00:19 [INFO] Executing Step 4: CodeExecution
2024-02-05 12:00:19 [INFO] 
Code running:
```
df = dfs[0]
top_5_happiest_countries = df.nlargest(5, 'happiness_index')['country'].tolist()
result = {'type': 'string', 'value': f"The 5 happiest countries are: {', '.join(top_5_happiest_countries)}."}
        ```
2024-02-05 12:00:19 [INFO] Executing Step 5: ResultValidation
2024-02-05 12:00:19 [INFO] Answer: {'type': 'string', 'value': 'The 5 happiest countries are: Canada, Australia, United Kingdom, Germany, United States.'}
2024-02-05 12:00:19 [INFO] Executed in: 0.10730457305908203s
2024-02-05 12:00:19 [INFO] Executing Step 6: ResultParsing
2024-02-05 12:00:35 [INFO] Question: Plot the histogram of countries showing for each the gdp, using different colors for each bar
2024-02-05 12:00:35 [INFO] Running PandasAI with openai LLM...
2024-02-05 12:00:35 [INFO] Prompt ID: f2ff3501-444e-4771-84c8-a883035833d8
2024-02-05 12:00:35 [INFO] Executing Step 0: CacheLookup
2024-02-05 12:00:35 [INFO] Using cached response
2024-02-05 12:00:35 [INFO] Executing Step 1: PromptGeneration
2024-02-05 12:00:35 [INFO] Executing Step 2: CodeGenerator
2024-02-05 12:00:35 [INFO] Executing Step 3: CachePopulation
2024-02-05 12:00:35 [INFO] Executing Step 4: CodeExecution
2024-02-05 12:00:35 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 12:00:35 [INFO] 
Code running:
```
df = dfs[0]
plt.bar(df['country'], df['gdp'], color=['red', 'green', 'blue'])
plt.xlabel('Country')
plt.ylabel('GDP')
plt.title('GDP by Country')
plt.xticks(rotation=45)
plt.show()
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 12:00:35 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 12:00:35 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'
. Retrying
2024-02-05 12:00:35 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
United Kingdom,2891615567872,7.16
France,2411255037952,6.66
</dataframe>

The user asked the following question:
Q: Plot the histogram of countries showing for each the gdp, using different colors for each bar

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
plt.bar(df['country'], df['gdp'], color=['red', 'green', 'blue'])
plt.xlabel('Country')
plt.ylabel('GDP')
plt.title('GDP by Country')
plt.xticks(rotation=45)
plt.show()

# Declare result var
result = {
    "type": "plot",
    "value": "temp_chart.png"
}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'


Fix the python code above and return the new python code:
2024-02-05 12:00:41 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 12:00:41 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 12:00:41 [INFO] 
Code running:
```
df = dfs[0]
plt.bar(df['country'], df['gdp'], color=['red', 'green', 'blue'])
plt.xlabel('Country')
plt.ylabel('GDP')
plt.title('GDP by Country')
plt.xticks(rotation=45)
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
plt.close()
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 12:00:42 [INFO] Executing Step 5: ResultValidation
2024-02-05 12:00:42 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 12:00:42 [INFO] Executed in: 7.326033115386963s
2024-02-05 12:00:42 [INFO] Executing Step 6: ResultParsing
2024-02-05 12:01:34 [INFO] Question: what is the shape of dataframe
2024-02-05 12:01:34 [INFO] Running PandasAI with openai LLM...
2024-02-05 12:01:34 [INFO] Prompt ID: e98a766f-013b-4323-8529-c202b0c31087
2024-02-05 12:01:34 [INFO] Executing Step 0: CacheLookup
2024-02-05 12:01:34 [INFO] Executing Step 1: PromptGeneration
2024-02-05 12:01:34 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
France,0342288603,6.66
United Kingdom,0736225367,7.16
United States,2910886333,6.94
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: what is the shape of dataframe
Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-05 12:01:34 [INFO] Executing Step 2: CodeGenerator
2024-02-05 12:01:41 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 12:01:41 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd

# Write code here
shape = dfs[0].shape

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "string", "value": f"The shape of the dataframe is {shape}."}
            ```
            
2024-02-05 12:01:41 [INFO] Executing Step 3: CachePopulation
2024-02-05 12:01:41 [INFO] Executing Step 4: CodeExecution
2024-02-05 12:01:41 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 12:01:41 [INFO] 
Code running:
```
shape = dfs[0].shape
result = {'type': 'string', 'value': f'The shape of the dataframe is {shape}.'}
        ```
2024-02-05 12:01:41 [INFO] Executing Step 5: ResultValidation
2024-02-05 12:01:41 [INFO] Answer: {'type': 'string', 'value': 'The shape of the dataframe is (10, 3).'}
2024-02-05 12:01:41 [INFO] Executed in: 7.539911508560181s
2024-02-05 12:01:41 [INFO] Executing Step 6: ResultParsing
2024-02-05 18:01:18 [INFO] Question: Which are the 5 happiest countries?
2024-02-05 18:01:18 [INFO] Running PandasAI with openai LLM...
2024-02-05 18:01:18 [INFO] Prompt ID: 1b9b286d-22d7-4a78-935c-10fb8c5b869e
2024-02-05 18:01:19 [INFO] Executing Step 0: CacheLookup
2024-02-05 18:01:19 [INFO] Using cached response
2024-02-05 18:01:19 [INFO] Executing Step 1: PromptGeneration
2024-02-05 18:01:19 [INFO] Executing Step 2: CodeGenerator
2024-02-05 18:01:19 [INFO] Executing Step 3: CachePopulation
2024-02-05 18:01:19 [INFO] Executing Step 4: CodeExecution
2024-02-05 18:01:19 [INFO] 
Code running:
```
df = dfs[0]
top_5_happiest_countries = df.nlargest(5, 'happiness_index')['country'].tolist()
result = {'type': 'string', 'value': f"The 5 happiest countries are: {', '.join(top_5_happiest_countries)}."}
        ```
2024-02-05 18:01:19 [INFO] Executing Step 5: ResultValidation
2024-02-05 18:01:19 [INFO] Answer: {'type': 'string', 'value': 'The 5 happiest countries are: Canada, Australia, United Kingdom, Germany, United States.'}
2024-02-05 18:01:19 [INFO] Executed in: 1.0755045413970947s
2024-02-05 18:01:19 [INFO] Executing Step 6: ResultParsing
2024-02-05 18:01:46 [INFO] Question: Plot the histogram of countries showing for each the gdp, using different colors for each bar
2024-02-05 18:01:46 [INFO] Running PandasAI with openai LLM...
2024-02-05 18:01:46 [INFO] Prompt ID: 5ca24d62-1bda-4023-be45-b2d0e140c364
2024-02-05 18:01:46 [INFO] Executing Step 0: CacheLookup
2024-02-05 18:01:46 [INFO] Using cached response
2024-02-05 18:01:46 [INFO] Executing Step 1: PromptGeneration
2024-02-05 18:01:46 [INFO] Executing Step 2: CodeGenerator
2024-02-05 18:01:46 [INFO] Executing Step 3: CachePopulation
2024-02-05 18:01:46 [INFO] Executing Step 4: CodeExecution
2024-02-05 18:01:46 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 18:01:46 [INFO] 
Code running:
```
df = dfs[0]
plt.bar(df['country'], df['gdp'], color=['red', 'green', 'blue'])
plt.xlabel('Country')
plt.ylabel('GDP')
plt.title('GDP by Country')
plt.xticks(rotation=45)
plt.show()
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 18:01:48 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 18:01:48 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'
. Retrying
2024-02-05 18:01:48 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
France,2411255037952,6.66
United Kingdom,2891615567872,7.16
</dataframe>

The user asked the following question:
Q: Plot the histogram of countries showing for each the gdp, using different colors for each bar

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
plt.bar(df['country'], df['gdp'], color=['red', 'green', 'blue'])
plt.xlabel('Country')
plt.ylabel('GDP')
plt.title('GDP by Country')
plt.xticks(rotation=45)
plt.show()

# Declare result var
result = {
    "type": "plot",
    "value": "temp_chart.png"
}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'


Fix the python code above and return the new python code:
2024-02-05 18:01:54 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 18:01:54 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 18:01:54 [INFO] 
Code running:
```
df = dfs[0]
plt.bar(df['country'], df['gdp'], color=['red', 'green', 'blue'])
plt.xlabel('Country')
plt.ylabel('GDP')
plt.title('GDP by Country')
plt.xticks(rotation=45)
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
plt.close()
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 18:01:55 [INFO] Executing Step 5: ResultValidation
2024-02-05 18:01:55 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 18:01:55 [INFO] Executed in: 8.891465425491333s
2024-02-05 18:01:55 [INFO] Executing Step 6: ResultParsing
2024-02-05 19:15:26 [INFO] Question: Plot a histogram of the column country.
2024-02-05 19:15:26 [INFO] Running PandasAI with openai LLM...
2024-02-05 19:15:26 [INFO] Prompt ID: b24ecd42-39db-4174-881d-39d79014b605
2024-02-05 19:15:26 [INFO] Executing Step 0: CacheLookup
2024-02-05 19:15:26 [INFO] Executing Step 1: PromptGeneration
2024-02-05 19:15:26 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
France,0023332412,6.66
United Kingdom,7696548092,7.16
United States,0650930060,6.94
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: Plot a histogram of the column country.
Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-05 19:15:26 [INFO] Executing Step 2: CodeGenerator
2024-02-05 19:15:33 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 19:15:33 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}
            ```
            
2024-02-05 19:15:33 [INFO] Executing Step 3: CachePopulation
2024-02-05 19:15:33 [INFO] Executing Step 4: CodeExecution
2024-02-05 19:15:33 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 19:15:33 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 19:15:33 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 19:15:33 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 19:15:33 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
France,0023332412,6.66
United Kingdom,7696548092,7.16
United States,0650930060,6.94
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 19:15:40 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 19:15:40 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 19:15:40 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 19:15:40 [INFO] Executing Step 5: ResultValidation
2024-02-05 19:15:40 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 19:15:40 [INFO] Executed in: 14.284332275390625s
2024-02-05 19:15:40 [INFO] Executing Step 6: ResultParsing
2024-02-05 20:25:10 [INFO] Question: Plot a histogram of the column country.
2024-02-05 20:25:10 [INFO] Running PandasAI with openai LLM...
2024-02-05 20:25:10 [INFO] Prompt ID: 3f29664a-c2e6-4b3f-84f3-256a885f74d7
2024-02-05 20:25:11 [INFO] Executing Step 0: CacheLookup
2024-02-05 20:25:11 [INFO] Using cached response
2024-02-05 20:25:11 [INFO] Executing Step 1: PromptGeneration
2024-02-05 20:25:11 [INFO] Executing Step 2: CodeGenerator
2024-02-05 20:25:11 [INFO] Executing Step 3: CachePopulation
2024-02-05 20:25:11 [INFO] Executing Step 4: CodeExecution
2024-02-05 20:25:11 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:25:11 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 20:25:11 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 20:25:11 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 20:25:11 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
France,2411255037952,6.66
United Kingdom,2891615567872,7.16
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 20:25:18 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 20:25:18 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:25:18 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 20:25:18 [INFO] Executing Step 5: ResultValidation
2024-02-05 20:25:18 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 20:25:18 [INFO] Executed in: 7.757231950759888s
2024-02-05 20:25:18 [INFO] Executing Step 6: ResultParsing
2024-02-05 20:27:56 [INFO] Question: Plot a histogram of the column country.
2024-02-05 20:27:56 [INFO] Running PandasAI with openai LLM...
2024-02-05 20:27:56 [INFO] Prompt ID: 384121ce-ca2a-4420-954e-2f65ddcdff91
2024-02-05 20:27:56 [INFO] Executing Step 0: CacheLookup
2024-02-05 20:27:56 [INFO] Using cached response
2024-02-05 20:27:56 [INFO] Executing Step 1: PromptGeneration
2024-02-05 20:27:56 [INFO] Executing Step 2: CodeGenerator
2024-02-05 20:27:56 [INFO] Executing Step 3: CachePopulation
2024-02-05 20:27:56 [INFO] Executing Step 4: CodeExecution
2024-02-05 20:27:56 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:27:56 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 20:27:56 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 20:27:56 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 20:27:56 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
United Kingdom,2891615567872,7.16
France,2411255037952,6.66
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 20:28:03 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 20:28:03 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:28:03 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 20:28:03 [INFO] Executing Step 5: ResultValidation
2024-02-05 20:28:03 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 20:28:03 [INFO] Executed in: 7.310426712036133s
2024-02-05 20:28:03 [INFO] Executing Step 6: ResultParsing
2024-02-05 20:32:53 [INFO] Question: 
1. Copy the dataframe to a new variable named df_cleaned.
2. Do data cleaning.
3. Return df_cleaned.

2024-02-05 20:32:53 [INFO] Running PandasAI with openai LLM...
2024-02-05 20:32:53 [INFO] Prompt ID: 66966870-348b-4bb4-bcfe-72b1c671aae4
2024-02-05 20:32:53 [INFO] Executing Step 0: CacheLookup
2024-02-05 20:32:53 [INFO] Executing Step 1: PromptGeneration
2024-02-05 20:32:53 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United Kingdom,9119797561,7.16
France,3524574994,6.66
United States,9081910594,6.94
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: 
1. Copy the dataframe to a new variable named df_cleaned.
2. Do data cleaning.
3. Return df_cleaned.

Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-05 20:32:53 [INFO] Executing Step 2: CodeGenerator
2024-02-05 20:33:00 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 20:33:00 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd

# Write code here
df_cleaned = dfs[0].copy()
df_cleaned.dropna(inplace=True)

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "dataframe", "value": df_cleaned}
            ```
            
2024-02-05 20:33:00 [INFO] Executing Step 3: CachePopulation
2024-02-05 20:33:00 [INFO] Executing Step 4: CodeExecution
2024-02-05 20:33:00 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:33:00 [INFO] 
Code running:
```
df_cleaned = dfs[0].copy()
df_cleaned.dropna(inplace=True)
result = {'type': 'dataframe', 'value': df_cleaned}
        ```
2024-02-05 20:33:00 [INFO] Executing Step 5: ResultValidation
2024-02-05 20:33:00 [INFO] Answer: {'type': 'dataframe', 'value':           country             gdp  happiness_index
0   United States  19294482071552             6.94
1  United Kingdom   2891615567872             7.16
2          France   2411255037952             6.66
3         Germany   3435817336832             7.07
4           Italy   1745433788416             6.38
5           Spain   1181205135360             6.40
6          Canada   1607402389504             7.23
7       Australia   1490967855104             7.22
8           Japan   4380756541440             5.87
9           China  14631844184064             5.12}
2024-02-05 20:33:00 [INFO] Executed in: 6.805347204208374s
2024-02-05 20:33:00 [INFO] Executing Step 6: ResultParsing
2024-02-05 20:47:01 [INFO] Question: Plot a histogram of the column country.
2024-02-05 20:47:01 [INFO] Running PandasAI with openai LLM...
2024-02-05 20:47:01 [INFO] Prompt ID: 2171a3d0-6f20-40e8-bb8f-f75241fcc729
2024-02-05 20:47:01 [INFO] Executing Step 0: CacheLookup
2024-02-05 20:47:01 [INFO] Using cached response
2024-02-05 20:47:01 [INFO] Executing Step 1: PromptGeneration
2024-02-05 20:47:01 [INFO] Executing Step 2: CodeGenerator
2024-02-05 20:47:01 [INFO] Executing Step 3: CachePopulation
2024-02-05 20:47:01 [INFO] Executing Step 4: CodeExecution
2024-02-05 20:47:01 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:47:01 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 20:47:01 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 20:47:01 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 20:47:01 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
United Kingdom,2891615567872,7.16
France,2411255037952,6.66
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 20:47:08 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 20:47:08 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:47:08 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 20:47:08 [INFO] Executing Step 5: ResultValidation
2024-02-05 20:47:08 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 20:47:08 [INFO] Executed in: 7.246875524520874s
2024-02-05 20:47:08 [INFO] Executing Step 6: ResultParsing
2024-02-05 20:48:59 [INFO] Question: Plot a histogram of the column country.
2024-02-05 20:48:59 [INFO] Running PandasAI with openai LLM...
2024-02-05 20:48:59 [INFO] Prompt ID: 925d63c8-c4c5-407d-9772-a6973f25c06a
2024-02-05 20:48:59 [INFO] Executing Step 0: CacheLookup
2024-02-05 20:48:59 [INFO] Using cached response
2024-02-05 20:48:59 [INFO] Executing Step 1: PromptGeneration
2024-02-05 20:48:59 [INFO] Executing Step 2: CodeGenerator
2024-02-05 20:48:59 [INFO] Executing Step 3: CachePopulation
2024-02-05 20:48:59 [INFO] Executing Step 4: CodeExecution
2024-02-05 20:48:59 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:48:59 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 20:48:59 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 20:48:59 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 20:48:59 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
France,4131369772,6.66
United Kingdom,0086643526,7.16
United States,9236012300,6.94
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 20:49:06 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 20:49:06 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:49:06 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 20:49:06 [INFO] Executing Step 5: ResultValidation
2024-02-05 20:49:06 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 20:49:06 [INFO] Executed in: 7.940158128738403s
2024-02-05 20:49:06 [INFO] Executing Step 6: ResultParsing
2024-02-05 20:50:24 [INFO] Question: Plot a histogram of the column country.
2024-02-05 20:50:24 [INFO] Running PandasAI with openai LLM...
2024-02-05 20:50:24 [INFO] Prompt ID: f41c8710-5432-4a0a-8ded-83a048b073ef
2024-02-05 20:50:24 [INFO] Executing Step 0: CacheLookup
2024-02-05 20:50:24 [INFO] Using cached response
2024-02-05 20:50:24 [INFO] Executing Step 1: PromptGeneration
2024-02-05 20:50:24 [INFO] Executing Step 2: CodeGenerator
2024-02-05 20:50:24 [INFO] Executing Step 3: CachePopulation
2024-02-05 20:50:24 [INFO] Executing Step 4: CodeExecution
2024-02-05 20:50:24 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:50:24 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 20:50:24 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 20:50:24 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 20:50:24 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
France,2411255037952,6.66
United Kingdom,2891615567872,7.16
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 20:50:31 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 20:50:31 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:50:31 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 20:50:32 [INFO] Executing Step 5: ResultValidation
2024-02-05 20:50:32 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 20:50:32 [INFO] Executed in: 7.4677958488464355s
2024-02-05 20:50:32 [INFO] Executing Step 6: ResultParsing
2024-02-05 20:51:03 [INFO] Question: Plot a histogram of the column country.
2024-02-05 20:51:03 [INFO] Running PandasAI with openai LLM...
2024-02-05 20:51:03 [INFO] Prompt ID: 3ac80671-ee0b-4dc3-878d-022307196c48
2024-02-05 20:51:03 [INFO] Executing Step 0: CacheLookup
2024-02-05 20:51:03 [INFO] Using cached response
2024-02-05 20:51:03 [INFO] Executing Step 1: PromptGeneration
2024-02-05 20:51:03 [INFO] Executing Step 2: CodeGenerator
2024-02-05 20:51:03 [INFO] Executing Step 3: CachePopulation
2024-02-05 20:51:03 [INFO] Executing Step 4: CodeExecution
2024-02-05 20:51:03 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:51:03 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 20:51:03 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 20:51:03 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 20:51:03 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
France,2880877183,6.66
United Kingdom,3170618122,7.16
United States,9941152519,6.94
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 20:51:11 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 20:51:11 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:51:11 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 20:51:11 [INFO] Executing Step 5: ResultValidation
2024-02-05 20:51:11 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 20:51:11 [INFO] Executed in: 7.434725046157837s
2024-02-05 20:51:11 [INFO] Executing Step 6: ResultParsing
2024-02-05 20:54:17 [INFO] Question: Plot a histogram of the column country.
2024-02-05 20:54:17 [INFO] Running PandasAI with openai LLM...
2024-02-05 20:54:17 [INFO] Prompt ID: 77db2324-be53-4c97-b70d-cd9b9a827ec4
2024-02-05 20:54:18 [INFO] Executing Step 0: CacheLookup
2024-02-05 20:54:18 [INFO] Using cached response
2024-02-05 20:54:18 [INFO] Executing Step 1: PromptGeneration
2024-02-05 20:54:18 [INFO] Executing Step 2: CodeGenerator
2024-02-05 20:54:18 [INFO] Executing Step 3: CachePopulation
2024-02-05 20:54:18 [INFO] Executing Step 4: CodeExecution
2024-02-05 20:54:18 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:54:18 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 20:54:18 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 20:54:18 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 20:54:18 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
France,0669665930,6.66
United States,9897387540,6.94
United Kingdom,5408133632,7.16
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 20:54:26 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 20:54:26 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:54:26 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 20:54:26 [INFO] Executing Step 5: ResultValidation
2024-02-05 20:54:26 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 20:54:26 [INFO] Executed in: 8.396513938903809s
2024-02-05 20:54:26 [INFO] Executing Step 6: ResultParsing
2024-02-05 20:55:44 [INFO] Question: Plot a histogram of the column country.
2024-02-05 20:55:44 [INFO] Running PandasAI with openai LLM...
2024-02-05 20:55:44 [INFO] Prompt ID: 7c32aea5-3ed7-4e0e-8faf-0857ea660669
2024-02-05 20:55:44 [INFO] Executing Step 0: CacheLookup
2024-02-05 20:55:44 [INFO] Using cached response
2024-02-05 20:55:44 [INFO] Executing Step 1: PromptGeneration
2024-02-05 20:55:44 [INFO] Executing Step 2: CodeGenerator
2024-02-05 20:55:44 [INFO] Executing Step 3: CachePopulation
2024-02-05 20:55:45 [INFO] Executing Step 4: CodeExecution
2024-02-05 20:55:45 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:55:45 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 20:55:45 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 20:55:45 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 20:55:45 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United Kingdom,5796647708,7.16
France,2708653758,6.66
United States,7063490863,6.94
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 20:55:52 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 20:55:52 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 20:55:52 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 20:55:52 [INFO] Executing Step 5: ResultValidation
2024-02-05 20:55:52 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 20:55:52 [INFO] Executed in: 7.39830207824707s
2024-02-05 20:55:52 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:11:14 [INFO] Question: Plot a histogram of the column country.
2024-02-05 21:11:14 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:11:14 [INFO] Prompt ID: a863589b-e87a-49e4-9f0a-f387322c15fe
2024-02-05 21:11:14 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:11:14 [INFO] Using cached response
2024-02-05 21:11:14 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:11:14 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:11:14 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:11:14 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:11:14 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:11:14 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 21:11:14 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 21:11:14 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 21:11:14 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
France,2411255037952,6.66
United Kingdom,2891615567872,7.16
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 21:11:22 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:11:22 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:11:22 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 21:11:22 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:11:22 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 21:11:22 [INFO] Executed in: 8.055721044540405s
2024-02-05 21:11:22 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:12:28 [INFO] Question: 
1. Copy the dataframe to a new variable named df_features.
2. Do feature generation.
3. Return df_features.

2024-02-05 21:12:28 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:12:28 [INFO] Prompt ID: c46c9498-0ec4-48c3-849f-8888cc4e9c0c
2024-02-05 21:12:28 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:12:28 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:12:28 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
France,2475954928,6.66
United Kingdom,4877884868,7.16
United States,7996337822,6.94
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: 
1. Copy the dataframe to a new variable named df_features.
2. Do feature generation.
3. Return df_features.

Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-05 21:12:28 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:12:33 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:12:33 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd

# Copy the dataframe to a new variable named df_features
df_features = dfs[0].copy()

# Feature generation
df_features['gdp_per_capita'] = df_features['gdp'] / 1000000
df_features['happiness_rank'] = df_features['happiness_index'].rank(ascending=False)

# Return df_features
result = {
    "type": "dataframe",
    "value": df_features
}
            ```
            
2024-02-05 21:12:33 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:12:33 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:12:33 [INFO] 
Code running:
```
df_features = dfs[0].copy()
df_features['gdp_per_capita'] = df_features['gdp'] / 1000000
df_features['happiness_rank'] = df_features['happiness_index'].rank(ascending=False)
result = {'type': 'dataframe', 'value': df_features}
        ```
2024-02-05 21:12:33 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:12:33 [INFO] Answer: {'type': 'dataframe', 'value':           country             gdp  happiness_index  gdp_per_capita  happiness_rank
0   United States  19294482071552             6.94    1.929448e+07             5.0
1  United Kingdom   2891615567872             7.16    2.891616e+06             3.0
2          France   2411255037952             6.66    2.411255e+06             6.0
3         Germany   3435817336832             7.07    3.435817e+06             4.0
4           Italy   1745433788416             6.38    1.745434e+06             8.0
5           Spain   1181205135360             6.40    1.181205e+06             7.0
6          Canada   1607402389504             7.23    1.607402e+06             1.0
7       Australia   1490967855104             7.22    1.490968e+06             2.0
8           Japan   4380756541440             5.87    4.380757e+06             9.0
9           China  14631844184064             5.12    1.463184e+07            10.0}
2024-02-05 21:12:33 [INFO] Executed in: 5.6808319091796875s
2024-02-05 21:12:33 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:12:39 [INFO] Question: Plot a histogram of the column country.
2024-02-05 21:12:39 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:12:39 [INFO] Prompt ID: d3eaef11-3336-4e15-be2b-6b12ebe0159b
2024-02-05 21:12:39 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:12:39 [INFO] Using cached response
2024-02-05 21:12:39 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:12:39 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:12:39 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:12:39 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:12:39 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:12:39 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 21:12:39 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 21:12:39 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 21:12:39 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
France,2745725883,6.66
United Kingdom,5673798879,7.16
United States,5622821625,6.94
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 21:12:46 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:12:46 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:12:46 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 21:12:46 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:12:46 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 21:12:46 [INFO] Executed in: 7.685325384140015s
2024-02-05 21:12:46 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:14:23 [INFO] Question: Plot a histogram of the column country.
2024-02-05 21:14:23 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:14:23 [INFO] Prompt ID: e82c1479-bca8-4bee-9e0a-16abc6622bd5
2024-02-05 21:14:23 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:14:23 [INFO] Using cached response
2024-02-05 21:14:23 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:14:23 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:14:23 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:14:23 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:14:23 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:14:23 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 21:14:23 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 21:14:23 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 21:14:23 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
France,2411255037952,6.66
United Kingdom,2891615567872,7.16
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 21:14:31 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:14:31 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:14:31 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 21:14:31 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:14:31 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 21:14:31 [INFO] Executed in: 8.028077840805054s
2024-02-05 21:14:31 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:17:28 [INFO] Question: Plot a histogram of the column country.
2024-02-05 21:17:28 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:17:28 [INFO] Prompt ID: 4ae375f5-8600-4745-9aa3-a7a817a7a9e0
2024-02-05 21:17:28 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:17:28 [INFO] Using cached response
2024-02-05 21:17:28 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:17:28 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:17:28 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:17:28 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:17:28 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:17:28 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 21:17:28 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 21:17:28 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 21:17:28 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
France,8217244470,6.66
United Kingdom,9334506692,7.16
United States,9236175203,6.94
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 21:17:36 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:17:36 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:17:36 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 21:17:36 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:17:36 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 21:17:36 [INFO] Executed in: 7.790410041809082s
2024-02-05 21:17:36 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:19:14 [INFO] Question: Plot a histogram of the column country.
2024-02-05 21:19:14 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:19:14 [INFO] Prompt ID: a0777819-3f7b-4701-b89d-c4586ed6817a
2024-02-05 21:19:14 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:19:14 [INFO] Using cached response
2024-02-05 21:19:14 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:19:14 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:19:14 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:19:14 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:19:14 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:19:14 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 21:19:14 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 21:19:14 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 21:19:14 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United Kingdom,2617602781,7.16
United States,5248361664,6.94
France,6837577454,6.66
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 21:19:21 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:19:21 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:19:21 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 21:19:21 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:19:21 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 21:19:21 [INFO] Executed in: 7.350437641143799s
2024-02-05 21:19:21 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:21:21 [INFO] Question: 
1. Copy the dataframe to a new variable named df_cleaned.
2. Do data cleaning.
3. Return df_cleaned.

2024-02-05 21:21:21 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:21:21 [INFO] Prompt ID: 0384f34b-711f-4a0b-80fb-4e6d06769e82
2024-02-05 21:21:21 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:21:21 [INFO] Using cached response
2024-02-05 21:21:21 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:21:21 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:21:21 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:21:21 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:21:21 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:21:22 [INFO] 
Code running:
```
df_cleaned = dfs[0].copy()
df_cleaned.dropna(inplace=True)
result = {'type': 'dataframe', 'value': df_cleaned}
        ```
2024-02-05 21:21:22 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:21:22 [INFO] Answer: {'type': 'dataframe', 'value':           country             gdp  happiness_index
0   United States  19294482071552             6.94
1  United Kingdom   2891615567872             7.16
2          France   2411255037952             6.66
3         Germany   3435817336832             7.07
4           Italy   1745433788416             6.38
5           Spain   1181205135360             6.40
6          Canada   1607402389504             7.23
7       Australia   1490967855104             7.22
8           Japan   4380756541440             5.87
9           China  14631844184064             5.12}
2024-02-05 21:21:22 [INFO] Executed in: 0.23683929443359375s
2024-02-05 21:21:22 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:21:34 [INFO] Question: Plot a histogram of the column country.
2024-02-05 21:21:34 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:21:34 [INFO] Prompt ID: edc97899-aa42-45b7-b5b1-8a182a36825c
2024-02-05 21:21:34 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:21:34 [INFO] Using cached response
2024-02-05 21:21:34 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:21:34 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:21:34 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:21:34 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:21:34 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:21:34 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 21:21:35 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 21:21:35 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 21:21:35 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United Kingdom,3638514178,7.16
United States,2302723875,6.94
France,0166633577,6.66
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 21:21:44 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:21:44 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:21:44 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 21:21:44 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:21:44 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 21:21:44 [INFO] Executed in: 9.313843488693237s
2024-02-05 21:21:44 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:23:44 [INFO] Question: Plot a histogram of the column country.
2024-02-05 21:23:44 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:23:44 [INFO] Prompt ID: 68750b6a-9d7f-4abf-84d2-63aae40c83d4
2024-02-05 21:23:44 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:23:44 [INFO] Using cached response
2024-02-05 21:23:44 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:23:44 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:23:44 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:23:44 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:23:44 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:23:44 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 21:23:44 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 21:23:44 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 21:23:44 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
France,2411255037952,6.66
United Kingdom,2891615567872,7.16
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 21:23:52 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:23:52 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:23:52 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 21:23:52 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:23:52 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 21:23:52 [INFO] Executed in: 7.815892457962036s
2024-02-05 21:23:52 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:24:57 [INFO] Question: Plot a histogram of the column country.
2024-02-05 21:24:57 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:24:57 [INFO] Prompt ID: 0c6f1cd6-d6da-4d84-b9a7-e0dbd7b97470
2024-02-05 21:24:57 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:24:57 [INFO] Using cached response
2024-02-05 21:24:57 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:24:57 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:24:57 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:24:57 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:24:57 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:24:57 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 21:24:57 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 21:24:57 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 21:24:57 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
France,2411255037952,6.66
United Kingdom,2891615567872,7.16
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 21:25:04 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:25:04 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:25:04 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 21:25:05 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:25:05 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 21:25:05 [INFO] Executed in: 7.494490623474121s
2024-02-05 21:25:05 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:28:04 [INFO] Question: Plot a histogram of the column country.
2024-02-05 21:28:04 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:28:04 [INFO] Prompt ID: f5e1380a-ed19-40be-954c-c2510ae69367
2024-02-05 21:28:04 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:28:04 [INFO] Using cached response
2024-02-05 21:28:04 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:28:04 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:28:04 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:28:04 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:28:04 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:28:04 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 21:28:04 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 21:28:04 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 21:28:04 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
France,2411255037952,6.66
United Kingdom,2891615567872,7.16
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 21:28:11 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:28:11 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:28:11 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 21:28:12 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:28:12 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 21:28:12 [INFO] Executed in: 8.12618374824524s
2024-02-05 21:28:12 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:30:19 [INFO] Question: Plot a histogram of the column country.
2024-02-05 21:30:19 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:30:19 [INFO] Prompt ID: 00a2e9d5-7870-4141-bf23-31600cf4d205
2024-02-05 21:30:19 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:30:19 [INFO] Using cached response
2024-02-05 21:30:19 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:30:19 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:30:19 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:30:19 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:30:19 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:30:19 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 21:30:19 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 21:30:19 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 21:30:19 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United Kingdom,2038301592,7.16
United States,2998019642,6.94
France,2054323023,6.66
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 21:30:27 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:30:27 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:30:27 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 21:30:27 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:30:27 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 21:30:27 [INFO] Executed in: 7.801538467407227s
2024-02-05 21:30:27 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:35:10 [INFO] Question: Plot a histogram of the column country.
2024-02-05 21:35:10 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:35:10 [INFO] Prompt ID: 2a38feb6-d5b0-4966-9a92-f5745ad6d367
2024-02-05 21:35:10 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:35:10 [INFO] Using cached response
2024-02-05 21:35:10 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:35:10 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:35:10 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:35:10 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:35:10 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:35:10 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 21:35:10 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 21:35:10 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 21:35:10 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
France,2411255037952,6.66
United Kingdom,2891615567872,7.16
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 21:35:18 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:35:18 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:35:18 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 21:35:18 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:35:18 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 21:35:18 [INFO] Executed in: 8.476882457733154s
2024-02-05 21:35:18 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:36:21 [INFO] Question: Plot a histogram of the column country.
2024-02-05 21:36:21 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:36:21 [INFO] Prompt ID: cb6e0469-93b6-43c2-935d-cfb81becba5c
2024-02-05 21:36:21 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:36:21 [INFO] Using cached response
2024-02-05 21:36:22 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:36:22 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:36:22 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:36:22 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:36:22 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:36:22 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 21:36:22 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 21:36:22 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 21:36:22 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
France,3605190289,6.66
United Kingdom,9411868444,7.16
United States,4687759417,6.94
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 21:36:29 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:36:29 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:36:29 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 21:36:30 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:36:30 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 21:36:30 [INFO] Executed in: 8.447340488433838s
2024-02-05 21:36:30 [INFO] Executing Step 6: ResultParsing
2024-02-05 21:37:21 [INFO] Question: Plot a histogram of the column country.
2024-02-05 21:37:21 [INFO] Running PandasAI with openai LLM...
2024-02-05 21:37:21 [INFO] Prompt ID: 7a7a6b3a-808d-4cac-a49b-be8cbbeaf97b
2024-02-05 21:37:21 [INFO] Executing Step 0: CacheLookup
2024-02-05 21:37:21 [INFO] Using cached response
2024-02-05 21:37:21 [INFO] Executing Step 1: PromptGeneration
2024-02-05 21:37:21 [INFO] Executing Step 2: CodeGenerator
2024-02-05 21:37:21 [INFO] Executing Step 3: CachePopulation
2024-02-05 21:37:21 [INFO] Executing Step 4: CodeExecution
2024-02-05 21:37:21 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:37:21 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-05 21:37:21 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-05 21:37:21 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-05 21:37:22 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
France,0256479932,6.66
United States,9772159446,6.94
United Kingdom,6337094202,7.16
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-05 21:37:28 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-05 21:37:28 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-05 21:37:28 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-05 21:37:29 [INFO] Executing Step 5: ResultValidation
2024-02-05 21:37:29 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-05 21:37:29 [INFO] Executed in: 7.277531385421753s
2024-02-05 21:37:29 [INFO] Executing Step 6: ResultParsing
2024-02-10 17:40:39 [INFO] Question: Plot a histogram of the column country.
2024-02-10 17:40:39 [INFO] Running PandasAI with openai LLM...
2024-02-10 17:40:39 [INFO] Prompt ID: 51f48393-ba8c-4344-bf45-2499c911fc72
2024-02-10 17:40:39 [INFO] Executing Step 0: CacheLookup
2024-02-10 17:40:39 [INFO] Using cached response
2024-02-10 17:40:39 [INFO] Executing Step 1: PromptGeneration
2024-02-10 17:40:39 [INFO] Executing Step 2: CodeGenerator
2024-02-10 17:40:39 [INFO] Executing Step 3: CachePopulation
2024-02-10 17:40:39 [INFO] Executing Step 4: CodeExecution
2024-02-10 17:40:39 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-10 17:40:39 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-10 17:40:40 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-10 17:40:40 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-10 17:40:40 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
France,5110673508,6.66
United States,8480036184,6.94
United Kingdom,5405906440,7.16
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-10 17:40:48 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-10 17:40:48 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-10 17:40:48 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-10 17:40:48 [INFO] Executing Step 5: ResultValidation
2024-02-10 17:40:48 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-10 17:40:48 [INFO] Executed in: 9.279128074645996s
2024-02-10 17:40:48 [INFO] Executing Step 6: ResultParsing
2024-02-10 17:49:20 [INFO] Question: 
1. Copy the dataframe to a new variable named df_cleaned.
2. Do data cleaning.
3. Return df_cleaned.

2024-02-10 17:49:20 [INFO] Running PandasAI with openai LLM...
2024-02-10 17:49:20 [INFO] Prompt ID: 266ac02d-88f3-4c24-b536-0b1cda68d3c9
2024-02-10 17:49:20 [INFO] Executing Step 0: CacheLookup
2024-02-10 17:49:20 [INFO] Using cached response
2024-02-10 17:49:20 [INFO] Executing Step 1: PromptGeneration
2024-02-10 17:49:20 [INFO] Executing Step 2: CodeGenerator
2024-02-10 17:49:20 [INFO] Executing Step 3: CachePopulation
2024-02-10 17:49:20 [INFO] Executing Step 4: CodeExecution
2024-02-10 17:49:20 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-10 17:49:20 [INFO] 
Code running:
```
df_cleaned = dfs[0].copy()
df_cleaned.dropna(inplace=True)
result = {'type': 'dataframe', 'value': df_cleaned}
        ```
2024-02-10 17:49:20 [INFO] Executing Step 5: ResultValidation
2024-02-10 17:49:20 [INFO] Answer: {'type': 'dataframe', 'value':           country             gdp  happiness_index
0   United States  19294482071552             6.94
1  United Kingdom   2891615567872             7.16
2          France   2411255037952             6.66
3         Germany   3435817336832             7.07
4           Italy   1745433788416             6.38
5           Spain   1181205135360             6.40
6          Canada   1607402389504             7.23
7       Australia   1490967855104             7.22
8           Japan   4380756541440             5.87
9           China  14631844184064             5.12}
2024-02-10 17:49:20 [INFO] Executed in: 0.05663919448852539s
2024-02-10 17:49:20 [INFO] Executing Step 6: ResultParsing
2024-02-10 17:49:27 [INFO] Question: 
1. Copy the dataframe to a new variable named df_imputed.
2. Do the imputation of missing values.
3. Return df_imputed.

2024-02-10 17:49:27 [INFO] Running PandasAI with openai LLM...
2024-02-10 17:49:27 [INFO] Prompt ID: c2da4918-8f30-476f-bac8-fa036843c552
2024-02-10 17:49:27 [INFO] Executing Step 0: CacheLookup
2024-02-10 17:49:27 [INFO] Executing Step 1: PromptGeneration
2024-02-10 17:49:27 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
France,2411255037952,6.66
United Kingdom,2891615567872,7.16
</dataframe>




Update this initial code:
```python
# TODO: import the required dependencies
import pandas as pd

# Write code here

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
```

Q: 
1. Copy the dataframe to a new variable named df_imputed.
2. Do the imputation of missing values.
3. Return df_imputed.

Variable `dfs: list[pd.DataFrame]` is already declared.

At the end, declare "result" variable as a dictionary of type and value.



Generate python code and return full updated code:
2024-02-10 17:49:27 [INFO] Executing Step 2: CodeGenerator
2024-02-10 17:49:38 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-10 17:49:38 [INFO] Code generated:
            ```
            # TODO: import the required dependencies
import pandas as pd

# Write code here
df_imputed = dfs[0].copy()
df_imputed['gdp'].fillna(df_imputed['gdp'].mean(), inplace=True)
df_imputed['happiness_index'].fillna(df_imputed['happiness_index'].mean(), inplace=True)

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "dataframe", "value": df_imputed}
            ```
            
2024-02-10 17:49:38 [INFO] Executing Step 3: CachePopulation
2024-02-10 17:49:38 [INFO] Executing Step 4: CodeExecution
2024-02-10 17:49:38 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-10 17:49:38 [INFO] 
Code running:
```
df_imputed = dfs[0].copy()
df_imputed['gdp'].fillna(df_imputed['gdp'].mean(), inplace=True)
df_imputed['happiness_index'].fillna(df_imputed['happiness_index'].mean(), inplace=True)
result = {'type': 'dataframe', 'value': df_imputed}
        ```
2024-02-10 17:49:38 [INFO] Executing Step 5: ResultValidation
2024-02-10 17:49:38 [INFO] Answer: {'type': 'dataframe', 'value':           country             gdp  happiness_index
0   United States  19294482071552             6.94
1  United Kingdom   2891615567872             7.16
2          France   2411255037952             6.66
3         Germany   3435817336832             7.07
4           Italy   1745433788416             6.38
5           Spain   1181205135360             6.40
6          Canada   1607402389504             7.23
7       Australia   1490967855104             7.22
8           Japan   4380756541440             5.87
9           China  14631844184064             5.12}
2024-02-10 17:49:38 [INFO] Executed in: 11.296319723129272s
2024-02-10 17:49:38 [INFO] Executing Step 6: ResultParsing
2024-02-10 17:55:53 [INFO] Question: Plot a histogram of the column country.
2024-02-10 17:55:53 [INFO] Running PandasAI with openai LLM...
2024-02-10 17:55:53 [INFO] Prompt ID: a9dafa7e-361d-46a8-a87d-8297e08f533d
2024-02-10 17:55:53 [INFO] Executing Step 0: CacheLookup
2024-02-10 17:55:53 [INFO] Using cached response
2024-02-10 17:55:53 [INFO] Executing Step 1: PromptGeneration
2024-02-10 17:55:53 [INFO] Executing Step 2: CodeGenerator
2024-02-10 17:55:53 [INFO] Executing Step 3: CachePopulation
2024-02-10 17:55:53 [INFO] Executing Step 4: CodeExecution
2024-02-10 17:55:53 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-10 17:55:54 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
result = {'type': 'plot', 'value': plt}
        ```
2024-02-10 17:55:54 [WARNING] Failed to execute code with a correction framework [retry number: 1]
2024-02-10 17:55:54 [ERROR] Failed with error: Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module
. Retrying
2024-02-10 17:55:54 [INFO] Using prompt: <dataframe>
dfs[0]:10x3
country,gdp,happiness_index
United States,19294482071552,6.94
France,2411255037952,6.66
United Kingdom,2891615567872,7.16
</dataframe>

The user asked the following question:
Q: Plot a histogram of the column country.

You generated this python code:
# TODO: import the required dependencies
import pandas as pd
import matplotlib.pyplot as plt

# Write code here
df = dfs[0]
df['country'].hist()

# Declare result var: type (possible values "string", "number", "dataframe", "plot"). Examples: { "type": "string", "value": f"The highest salary is {highest_salary}." } or { "type": "number", "value": 125 } or { "type": "dataframe", "value": pd.DataFrame({...}) } or { "type": "plot", "value": "temp_chart.png" }
result = {"type": "plot", "value": plt}

It fails with the following error:
Traceback (most recent call last):
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\pipelines\smart_datalake_chat\code_execution.py", line 53, in execute
    result = pipeline_context.query_exec_tracker.execute_func(
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 134, in execute_func
    step_data = self._generate_exec_step(tag, result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 183, in _generate_exec_step
    self._response = self._format_response(result)
  File "C:\Users\babul\AppData\Local\Programs\Python\Python310\lib\site-packages\pandasai\helpers\query_exec_tracker.py", line 202, in _format_response
    with open(result["value"], "rb") as image_file:
TypeError: expected str, bytes or os.PathLike object, not module


Fix the python code above and return the new python code:
2024-02-10 17:56:01 [INFO] HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-02-10 17:56:01 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-10 17:56:01 [INFO] 
Code running:
```
df = dfs[0]
df['country'].hist()
plt.savefig('C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png')
result = {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
        ```
2024-02-10 17:56:02 [INFO] Executing Step 5: ResultValidation
2024-02-10 17:56:02 [INFO] Answer: {'type': 'plot', 'value': 'C:/Users/babul/OneDrive/Desktop/chatbot/exports/charts/temp_chart.png'}
2024-02-10 17:56:02 [INFO] Executed in: 8.161150217056274s
2024-02-10 17:56:02 [INFO] Executing Step 6: ResultParsing
2024-02-11 11:13:03 [INFO] Question: 
1. Copy the dataframe to a new variable named df_cleaned.
2. Do data cleaning.
3. Return df_cleaned.

2024-02-11 11:13:03 [INFO] Running PandasAI with openai LLM...
2024-02-11 11:13:03 [INFO] Prompt ID: 81278eb3-cc28-4b19-b5dd-fc82e4ffd5d9
2024-02-11 11:13:03 [INFO] Executing Step 0: CacheLookup
2024-02-11 11:13:03 [INFO] Using cached response
2024-02-11 11:13:03 [INFO] Executing Step 1: PromptGeneration
2024-02-11 11:13:03 [INFO] Executing Step 2: CodeGenerator
2024-02-11 11:13:03 [INFO] Executing Step 3: CachePopulation
2024-02-11 11:13:03 [INFO] Executing Step 4: CodeExecution
2024-02-11 11:13:03 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-11 11:13:03 [INFO] 
Code running:
```
df_cleaned = dfs[0].copy()
df_cleaned.dropna(inplace=True)
result = {'type': 'dataframe', 'value': df_cleaned}
        ```
2024-02-11 11:13:03 [INFO] Executing Step 5: ResultValidation
2024-02-11 11:13:03 [INFO] Answer: {'type': 'dataframe', 'value':           country             gdp  happiness_index
0   United States  19294482071552             6.94
1  United Kingdom   2891615567872             7.16
2          France   2411255037952             6.66
3         Germany   3435817336832             7.07
4           Italy   1745433788416             6.38
5           Spain   1181205135360             6.40
6          Canada   1607402389504             7.23
7       Australia   1490967855104             7.22
8           Japan   4380756541440             5.87
9           China  14631844184064             5.12}
2024-02-11 11:13:03 [INFO] Executed in: 0.38036108016967773s
2024-02-11 11:13:03 [INFO] Executing Step 6: ResultParsing
2024-02-11 11:14:48 [INFO] Question: 
1. Copy the dataframe to a new variable named df_cleaned.
2. Do data cleaning.
3. Return df_cleaned.

2024-02-11 11:14:48 [INFO] Running PandasAI with openai LLM...
2024-02-11 11:14:48 [INFO] Prompt ID: 450b1a3d-9183-4860-ba7b-4d48bbb1a579
2024-02-11 11:14:48 [INFO] Executing Step 0: CacheLookup
2024-02-11 11:14:48 [INFO] Using cached response
2024-02-11 11:14:48 [INFO] Executing Step 1: PromptGeneration
2024-02-11 11:14:48 [INFO] Executing Step 2: CodeGenerator
2024-02-11 11:14:48 [INFO] Executing Step 3: CachePopulation
2024-02-11 11:14:48 [INFO] Executing Step 4: CodeExecution
2024-02-11 11:14:48 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-11 11:14:48 [INFO] 
Code running:
```
df_cleaned = dfs[0].copy()
df_cleaned.dropna(inplace=True)
result = {'type': 'dataframe', 'value': df_cleaned}
        ```
2024-02-11 11:14:48 [INFO] Executing Step 5: ResultValidation
2024-02-11 11:14:48 [INFO] Answer: {'type': 'dataframe', 'value':           country             gdp  happiness_index
0   United States  19294482071552             6.94
1  United Kingdom   2891615567872             7.16
2          France   2411255037952             6.66
3         Germany   3435817336832             7.07
4           Italy   1745433788416             6.38
5           Spain   1181205135360             6.40
6          Canada   1607402389504             7.23
7       Australia   1490967855104             7.22
8           Japan   4380756541440             5.87
9           China  14631844184064             5.12}
2024-02-11 11:14:48 [INFO] Executed in: 0.07847356796264648s
2024-02-11 11:14:48 [INFO] Executing Step 6: ResultParsing
2024-02-11 11:17:42 [INFO] Question: 
1. Copy the dataframe to a new variable named df_cleaned.
2. Do data cleaning.
3. Return df_cleaned.

2024-02-11 11:17:42 [INFO] Running PandasAI with openai LLM...
2024-02-11 11:17:42 [INFO] Prompt ID: 30c0cab5-7ce8-43d0-94d4-f7a5280c8307
2024-02-11 11:17:42 [INFO] Executing Step 0: CacheLookup
2024-02-11 11:17:42 [INFO] Using cached response
2024-02-11 11:17:42 [INFO] Executing Step 1: PromptGeneration
2024-02-11 11:17:42 [INFO] Executing Step 2: CodeGenerator
2024-02-11 11:17:42 [INFO] Executing Step 3: CachePopulation
2024-02-11 11:17:42 [INFO] Executing Step 4: CodeExecution
2024-02-11 11:17:42 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-11 11:17:42 [INFO] 
Code running:
```
df_cleaned = dfs[0].copy()
df_cleaned.dropna(inplace=True)
result = {'type': 'dataframe', 'value': df_cleaned}
        ```
2024-02-11 11:17:42 [INFO] Executing Step 5: ResultValidation
2024-02-11 11:17:42 [INFO] Answer: {'type': 'dataframe', 'value':           country             gdp  happiness_index
0   United States  19294482071552             6.94
1  United Kingdom   2891615567872             7.16
2          France   2411255037952             6.66
3         Germany   3435817336832             7.07
4           Italy   1745433788416             6.38
5           Spain   1181205135360             6.40
6          Canada   1607402389504             7.23
7       Australia   1490967855104             7.22
8           Japan   4380756541440             5.87
9           China  14631844184064             5.12}
2024-02-11 11:17:42 [INFO] Executed in: 0.1080465316772461s
2024-02-11 11:17:42 [INFO] Executing Step 6: ResultParsing
2024-02-11 11:25:08 [INFO] Question: 
1. Copy the dataframe to a new variable named df_cleaned.
2. Do data cleaning.
3. Return df_cleaned.

2024-02-11 11:25:08 [INFO] Running PandasAI with openai LLM...
2024-02-11 11:25:08 [INFO] Prompt ID: 045d0249-6f0e-47ba-95c3-53f6df2be052
2024-02-11 11:25:08 [INFO] Executing Step 0: CacheLookup
2024-02-11 11:25:08 [INFO] Using cached response
2024-02-11 11:25:08 [INFO] Executing Step 1: PromptGeneration
2024-02-11 11:25:08 [INFO] Executing Step 2: CodeGenerator
2024-02-11 11:25:08 [INFO] Executing Step 3: CachePopulation
2024-02-11 11:25:08 [INFO] Executing Step 4: CodeExecution
2024-02-11 11:25:08 [INFO] Saving charts to C:\Users\babul\OneDrive\Desktop\chatbot\exports\charts\temp_chart.png
2024-02-11 11:25:08 [INFO] 
Code running:
```
df_cleaned = dfs[0].copy()
df_cleaned.dropna(inplace=True)
result = {'type': 'dataframe', 'value': df_cleaned}
        ```
2024-02-11 11:25:08 [INFO] Executing Step 5: ResultValidation
2024-02-11 11:25:08 [INFO] Answer: {'type': 'dataframe', 'value':           country             gdp  happiness_index
0   United States  19294482071552             6.94
1  United Kingdom   2891615567872             7.16
2          France   2411255037952             6.66
3         Germany   3435817336832             7.07
4           Italy   1745433788416             6.38
5           Spain   1181205135360             6.40
6          Canada   1607402389504             7.23
7       Australia   1490967855104             7.22
8           Japan   4380756541440             5.87
9           China  14631844184064             5.12}
2024-02-11 11:25:08 [INFO] Executed in: 0.07872462272644043s
2024-02-11 11:25:08 [INFO] Executing Step 6: ResultParsing