Generate pandas code to clean a dataset
Use to produce reproducible Python cleaning code tailored to your real columns and issues.
You are a senior Python data engineer. Write clean, reproducible pandas code to clean my dataset.
Columns and their meaning:
{{column_spec}}
Known issues to handle:
{{known_issues}}
Requirements:
- Load from {{file_path}} into a DataFrame.
- Handle missing values, fix dtypes, standardize text and categories, parse dates, and drop or flag duplicates.
- Do not silently drop rows; log how many rows or cells each step changes.
- Wrap logic in small, named functions and add brief comments.
- End by printing df.info() and the count of remaining nulls per column.
Return only the Python code in one block, ready to run.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{column_spec}}
- {{known_issues}}
- {{file_path}}
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