79 lines
3.0 KiB
Markdown
79 lines
3.0 KiB
Markdown
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# Excel Filtering and Formatting Script
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The file in this repository filters has the intent to filter all written exams that require a 'large room'
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(>65 inschrijvingen) and thus need to be brought to the meeting which assigns large rooms to written exams on campus. The output has
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the layout in mind of the master file provided by E-campus but may need changes if the master file changes.
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## Prerequisites
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Make sure you have the following software installed:
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- Python 3.x
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- Pip (Python package installer)
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## Required Packages
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The script depends on the following Python packages:
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- `pandas`
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You can install the required package using pip:
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```bash
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pip install pandas
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```
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## Description
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The script performs the following operations:
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1. Reads data from the specified Excel file and sheet.
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2. Filters rows based on the value of the 'Examenvorm' column and the count of 'Aant. inschr.' column.
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3. Selects specific columns from the filtered DataFrame.
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4. Formats time strings in the columns 'Beginuur S+' and 'Einduur S+'.
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5. Cleans the 'Docenten' column by removing specific keywords and trimming whitespace.
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6. Writes the processed DataFrame to a new Excel file.
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## Usage
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1. Place your Excel file in the same directory as the script.
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2. Update the `file_path` and `sheet_name` variables in the script with your specific file path and sheet name.
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3. Run the script:
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```bash
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python script.py
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```
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## Code
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```python
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import pandas as pd
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file_path = 'file.xlsx'
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sheet_name = 'ps (32)'
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# Read the data from the Excel file
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df = pd.read_excel(file_path, sheet_name=sheet_name)
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# Filter the data based on certain criteria
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filtered_df = df[df['Examenvorm'] == 'Schriftelijk']
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filtered_df = filtered_df[filtered_df['Aant. inschr.'] > 65]
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filtered_df = filtered_df[['Datum S+', 'Beginuur S+', 'Einduur S+', 'Studiegidsnr.', 'Omschrijving', 'Docenten', 'Aant. inschr.']]
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# Format the time strings
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filtered_df['Beginuur S+'] = filtered_df['Beginuur S+'].apply(lambda x: x.strftime('%H:%M'))
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filtered_df['Einduur S+'] = filtered_df['Einduur S+'].apply(lambda x: x.strftime('%H:%M'))
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filtered_df['Docenten'] = filtered_df['Docenten'].str.replace(r'\b(Titularis|Co-Titularis|Medewerker)\b', '', regex=True).str.strip()
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# Save the filtered and formatted data to a new Excel file
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filtered_df.to_excel('filtered_grote_lokalen.xlsx', index=False)
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```
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## Additional Notes
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- This script assumes that the input Excel file has specific columns like 'Examenvorm', 'Aant. inschr.', 'Datum S+', 'Beginuur S+', 'Einduur S+', 'Studiegidsnr.', 'Omschrijving', and 'Docenten'.
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- Make sure that the time columns ('Beginuur S+' and 'Einduur S+') are in datetime format in the original Excel file for the `.strftime('%H:%M')` method to work correctly.
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- The `Docenten` column will be cleaned by removing occurrences of the keywords 'Titularis', 'Co-Titularis', and 'Medewerker'.
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Feel free to adjust the script according to your specific needs.
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## License
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This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
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