78 lines
3.4 KiB
Python
78 lines
3.4 KiB
Python
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import pandas as pd
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def read_excel_file(file_path):
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"""Read the Excel file and return a DataFrame."""
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try:
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return pd.read_excel(file_path)
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except Exception as e:
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print(f"Error reading the Excel file: {e}")
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return None
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def filter_studiegidsnummer(df):
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"""Filter rows where 'studiegidsnummer' contains 'GES'."""
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if 'Studiegidsnummer' not in df.columns:
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print("Column 'studiegidsnummer' not found in the DataFrame.")
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print("Available columns:", df.columns)
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return pd.DataFrame() # Return an empty DataFrame
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return df[df['Studiegidsnummer'].str.contains('GES', na=False)].copy()
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def filter_opmerkingen(df):
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"""Filter rows where 'Opmerkingen' does NOT contain '24-25'."""
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if 'Opmerkingen' not in df.columns:
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print("Column 'Opmerkingen' not found in the DataFrame.")
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print("Available columns:", df.columns)
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return pd.DataFrame() # Return an empty DataFrame
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return df[~df['Opmerkingen'].str.contains('24-25', na=False)].copy()
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def create_message_column(df):
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"""Create 'Message' and 'subject' columns with the specified format."""
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df.loc[:, 'Message'] = df.apply(lambda row: (
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f"Beste docent,\n\n"
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f"Ik ben de examengegevens aan het controleren van {row['Omschrijving']} {row['Studiegidsnummer']}. De huidige gegevens zijn als volgt:\n\n"
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f"{row['Examenvorm']} examen voor zowel eerste als tweede zit, {row['Examenduur']} minuten, tussen {row['Beginuur voormiddag']} en {row['Einduur voormiddag']} of {row['Beginuur namiddag']} en {row['Einduur namiddag']}.\n\n"
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f"Gelden dezelfde gegevens voor dit academiejaar of moeten er nog wijzigingen doorgevoerd worden? Alvast dank voor je reactie!"
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), axis=1)
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df.loc[:, 'subject'] = df.apply(lambda row: (
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f"Examengegevens {row['Omschrijving']} {row['Studiegidsnummer']}"
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), axis=1)
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return df
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def save_to_excel(df, output_file_path):
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"""Save the DataFrame to a new Excel file."""
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try:
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df.to_excel(output_file_path, index=False)
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except Exception as e:
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print(f"Error saving the Excel file: {e}")
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def convert_time_format(time_str):
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"""Convert time from 'HH:MM:SS' to 'HH:MM'."""
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try:
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return pd.to_datetime(time_str).strftime('%H:%M')
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except Exception as e:
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print(f"Error converting time format: {e}")
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return time_str
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def apply_time_format_conversion(df, columns):
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"""Apply time format conversion to specified columns in the DataFrame."""
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for column in columns:
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df[column] = pd.to_datetime(df[column], format='%H:%M:%S', errors='coerce').dt.strftime('%H:%M')
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return df
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# Example usage within the main function
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def main():
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file_path = 'examengegevens2425.xlsx'
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output_file_path = 'filtered_examengegevens2425.xlsx'
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df = read_excel_file(file_path)
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if df is not None:
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filtered_df = filter_studiegidsnummer(df)
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if not filtered_df.empty:
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final_filtered_df = filter_opmerkingen(filtered_df)
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# Convert time format for specified columns
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time_columns = ['Beginuur voormiddag', 'Einduur voormiddag', 'Beginuur namiddag', 'Einduur namiddag']
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final_filtered_df = apply_time_format_conversion(final_filtered_df, time_columns)
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final_filtered_df = create_message_column(final_filtered_df)
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save_to_excel(final_filtered_df, output_file_path)
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if __name__ == "__main__":
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main()
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