Generating Automated Accounting Reports
1234567891011121314151617import pandas as pd # Example financial data data = { "Account": ["Sales", "Sales", "Expenses", "Expenses", "Expenses"], "Amount": [10000, 15000, 5000, 3000, 2000] } df = pd.DataFrame(data) # Create summary metrics summary = pd.DataFrame({ "Total": [df["Amount"].sum()], "Average": [df["Amount"].mean()], "Transaction Count": [df["Amount"].count()] }) print(summary)
12# Export the summary DataFrame to a CSV file summary.to_csv("financial_summary_report.csv", index=False)
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1234567891011121314151617import pandas as pd # Example financial data data = { "Account": ["Sales", "Sales", "Expenses", "Expenses", "Expenses"], "Amount": [10000, 15000, 5000, 3000, 2000] } df = pd.DataFrame(data) # Create summary metrics summary = pd.DataFrame({ "Total": [df["Amount"].sum()], "Average": [df["Amount"].mean()], "Transaction Count": [df["Amount"].count()] }) print(summary)
12# Export the summary DataFrame to a CSV file summary.to_csv("financial_summary_report.csv", index=False)
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Sectie 1. Hoofdstuk 4
