Pandas Dataframes At The Cinema
summary
Loads IMDb CSVs into pandas inside an IPython notebook using the Anaconda distribution, works with ~215,000+ titles and a separate cast CSV, demonstrates filtering, sorting, value_counts, groupby, unstack and plotting, and handles NaN billing positions. Finds surprising totals (about 27,000 actor slots vs ~15,000 actress slots in the 1950s) and shows leading-role share ~75% male across decades. Builds reproducible notebooks and plots interactively; the examples run and produce the claimed statistics and charts.
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chapters (12)
- 0:00Pandas tutorial welcome
- 1:07PyCon Montreal to PyOhio
- 7:11Install Anaconda & IPython
- 24:54IPython notebook basics
- 28:43Load & explore movie data
- 41:16Filter & sort movie data
- 51:05Break
- 55:01Returning from break and continuing exercises
- 1:00:05Count movies by year
- 1:19:43Plot movie data
- 1:39:11Gender role analysis
- 1:51:18Pandas learning resources
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