{"version":"1.0","type":"rich","title":"Convert tabular pdf data to a csv and also read it as a python dataframe","description":"This example converts tabular PDF data into a clean CSV file and a pandas DataFrame. It reads a government PDF containing space-delimited user IDs and handles using `tabula.read_pdf` with `pages='all'`, then splits the single messy column into two properly named columns (`user id` and `handle`) via pandas string methods. The cleaned data is written to `exhibit_b.csv` using `df.to_csv`. The script demonstrates a practical workflow for fixing poorly formatted government tabular releases with pandas and tabula-py.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-cfe4bc3ae5222b8f046b0f32d5f35a4b?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}