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Update ggplot_plots.py #4

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0db2bab
Update ggplot_plots.py
anemochore Aug 11, 2017
f9678ce
changed dataframes to scalars
anemochore May 7, 2020
d1ba3d6
Add files via upload
anemochore May 7, 2020
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13 changes: 13 additions & 0 deletions csv/supplier_data_two_commas_added_in_excel.csv
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@@ -0,0 +1,13 @@
Supplier Name,Invoice Number,Part Number,Cost,Purchase Date
Supplier X,001-1001,2341,$500.00 ,1/20/14
Supplier X,001-1001,2341,$500.00 ,1/20/14
Supplier X,001-1001,5467,$750.00 ,1/20/14
Supplier X,001-1001,5467,$750.00 ,1/20/14
Supplier Y,50-9501,7009,$250.00 ,1/30/14
Supplier Y,50-9501,7009,$250.00 ,1/30/14
Supplier Y,50-9505,6650,$125.00 ,2002-03-14
Supplier Y,50-9505,6650,$125.00 ,2002-03-14
Supplier Z,920-4803,3321,$615.00 ,2002-03-14
Supplier Z,920-4804,3321,$615.00 ,2002-10-14
Supplier Z,920-4805,3321,"$6,015.00 ",2/17/14
Supplier Z,920-4806,3321,"$1,006,015.00 ",2/24/14
14 changes: 7 additions & 7 deletions excel/pandas_sum_average_multiple_workbooks.py
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Expand Up @@ -17,9 +17,9 @@
worksheets_data_frame = None
workbook_data_frame = None
for worksheet_name, data in all_worksheets.items():
total_sales = pd.DataFrame([float(str(value).strip('$').replace(',','')) for value in data.ix[:, 'Sale Amount']]).sum()
total_sales = pd.DataFrame([float(str(value).strip('$').replace(',','')) for value in data.ix[:, 'Sale Amount']]).sum().iloc[0]
number_of_sales = len(data.loc[:, 'Sale Amount'])
average_sales = pd.DataFrame(total_sales / number_of_sales)
average_sales = total_sales / number_of_sales

workbook_total_sales.append(total_sales)
workbook_number_of_sales.append(number_of_sales)
Expand All @@ -29,23 +29,23 @@
'worksheet_total': total_sales,
'worksheet_average': average_sales}

worksheet_data_frames.append(pd.DataFrame(data, columns=['workbook', 'worksheet', 'worksheet_total', 'worksheet_average']))
worksheet_data_frames.append(pd.DataFrame(data, columns=['workbook', 'worksheet', 'worksheet_total', 'worksheet_average'], index=[0]))
worksheets_data_frame = pd.concat(worksheet_data_frames, axis=0, ignore_index=True)

workbook_total = pd.DataFrame(workbook_total_sales).sum()
workbook_total = pd.DataFrame(workbook_total_sales).sum().iloc[0]
workbook_total_number_of_sales = pd.DataFrame(workbook_number_of_sales).sum()
workbook_average = pd.DataFrame(workbook_total / workbook_total_number_of_sales)
workbook_average = workbook_total / workbook_total_number_of_sales

workbook_stats = {'workbook': os.path.basename(workbook),
'workbook_total': workbook_total,
'workbook_average': workbook_average}

workbook_stats = pd.DataFrame(workbook_stats, columns=['workbook', 'workbook_total', 'workbook_average'])
workbook_stats = pd.DataFrame(workbook_stats, columns=['workbook', 'workbook_total', 'workbook_average'], index=[0])
workbook_data_frame = pd.merge(worksheets_data_frame, workbook_stats, on='workbook', how='left')
data_frames.append(workbook_data_frame)

all_data_concatenated = pd.concat(data_frames, axis=0, ignore_index=True)

writer = pd.ExcelWriter(output_file)
all_data_concatenated.to_excel(writer, sheet_name='sums_and_averages', index=False)
writer.save()
writer.save()
2 changes: 1 addition & 1 deletion plots/ggplot_plots.py
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Expand Up @@ -29,4 +29,4 @@
theme_gray()
print(plt3)

ggsave(plt3, "ggplot_plots.png")
plt3.save("ggplot_plots.png")