Update BankExcelCleaner.py
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@ -31,7 +31,11 @@ df["text"] = df["text"].replace(r"[\r\n]+", " ", regex=True)
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# 7. Remove "#" characters from the 'text' column
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# 7. Remove "#" characters from the 'text' column
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df["text"] = df["text"].replace(r"#", "", regex=True)
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df["text"] = df["text"].replace(r"#", "", regex=True)
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# 8. Prompt user for the output Excel file location
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# 8. Reorder columns
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desired_order = ["time", "text", "url", "topReactionsCount", "viewsCount", "likes"]
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df = df[desired_order]
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# 9. Prompt user for the output Excel file location
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output_file_path = filedialog.asksaveasfilename(
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output_file_path = filedialog.asksaveasfilename(
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title="Save Cleaned Excel File",
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title="Save Cleaned Excel File",
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defaultextension=".xlsx",
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defaultextension=".xlsx",
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@ -41,6 +45,6 @@ if not output_file_path:
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print("No output file specified. Exiting.")
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print("No output file specified. Exiting.")
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exit()
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exit()
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# 9. Write the cleaned data to a new Excel file
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# 10. Write the cleaned data to a new Excel file
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df.to_excel(output_file_path, index=False)
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df.to_excel(output_file_path, index=False)
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print(f"Cleaned Excel file saved to: {output_file_path}")
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print(f"Cleaned Excel file saved to: {output_file_path}")
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