new convertion code update

AKmahim · Jul 24, 2024 · ed25b0f · ed25b0f
1 parent 3ce1096
commit ed25b0f
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Showing 9 changed files with 681 additions and 3 deletions.
diff --git a/csv-to-excel/filtered_customers.xlsx b/csv-to-excel/filtered_customers.xlsx
diff --git a/csv-to-excel/find-duplicate.py b/csv-to-excel/find-duplicate.py
@@ -23,15 +23,15 @@
 import pandas as pd
 
 # Load the Excel file
-file_path = 'customers2.xlsx'
+file_path = 'filtered_customers.xlsx'
 df = pd.read_excel(file_path)
 
 # Identify duplicated phone numbers
 duplicated_phones = df[df.duplicated(subset=['Phone'], keep=False)]
 
 # Further filter the rows where 'Interested To Buy' is 'yes'
-# filtered_duplicated_phones = duplicated_phones[(duplicated_phones['Interested To Buy'].str.lower() == 'no') & (duplicated_phones['BP ID'] == 'JAT083')]
-filtered_duplicated_phones = duplicated_phones[(duplicated_phones['Interested To Buy'].str.lower() == 'yes')]
+filtered_duplicated_phones = duplicated_phones[(duplicated_phones['Interested To Buy'].str.lower() == 'no')]
+# filtered_duplicated_phones = duplicated_phones[(duplicated_phones['Interested To Buy'].str.lower() == 'yes') | (duplicated_phones['Interested To Buy'].str.lower() == 'no')]
 
 # Extract the relevant information
 output_df = filtered_duplicated_phones[['BP ID', 'BP Name', 'Customer Name', 'Phone', 'Interested To Buy', 'Date', 'Time']]