66 lines
2.2 KiB
Python
66 lines
2.2 KiB
Python
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import pandas as pd
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from datetime import datetime
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import locale
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file_path = 'bages rooster voor s.xlsx'
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sheet_name = 'rooster'
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df = pd.read_excel(file_path, sheet_name=sheet_name)
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date_ranges = {
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(pd.Timestamp('2025-01-06'), pd.Timestamp('2025-01-12')): 16,
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(pd.Timestamp('2025-01-13'), pd.Timestamp('2025-01-19')): 17,
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(pd.Timestamp('2025-01-20'), pd.Timestamp('2025-01-26')): 18,
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(pd.Timestamp('2025-01-27'), pd.Timestamp('2025-02-02')): 19,
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# add more ranges as needed
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}
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# Custom date parser function
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def parse_custom_date(date_str):
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if pd.isna(date_str):
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return pd.NaT # Return pandas NaT for missing dates
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if isinstance(date_str, str):
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try:
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# Set locale to Dutch
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locale.setlocale(locale.LC_TIME, 'nl_NL.UTF-8')
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return datetime.strptime(date_str, '%A %d %B %Y')
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except ValueError as e:
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raise ValueError(f"Date conversion error: {e} for date string: {date_str}")
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finally:
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# Reset locale to the default setting
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locale.setlocale(locale.LC_TIME, 'C')
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else:
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raise TypeError(f"Expected string, got {type(date_str).__name__}: {date_str}")
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# Ensure the column 'Datum S+' exists and is processed correctly
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if 'Datum S+' in df.columns:
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try:
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# Convert 'Datum S+' column to datetime using the custom parser
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df['Datum S+'] = df['Datum S+'].apply(parse_custom_date)
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except (ValueError, TypeError) as e:
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print(f"Error: {e}")
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# Optionally, re-raise the exception if you want to stop execution
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raise
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# Function to update Lesweek based on date ranges
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def update_lesweek(date):
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if pd.isna(date): # Handle NaT values
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return 0
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for date_range, lesweek_value in date_ranges.items():
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if date_range[0] <= date <= date_range[1]:
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return lesweek_value
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return 0 # Default value if date doesn't fall in any range
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# Apply the function to 'Datum S+' column
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df['Lesweek'] = df['Datum S+'].apply(update_lesweek)
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# Check the results
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print("\nFirst few rows of the DataFrame to verify date formatting:\n", df.head())
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# If needed, you can save the DataFrame to a new Excel file to verify changes
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df.to_excel('updated_rooster.xlsx', index=False)
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