The Pokémon trainer's guide to pandas and matplotlib

on YouTube ↗03h 03m

" summary

Uses Pandas and matplotlib on a pokemon.csv with 898 rows to compute game stats (uses formula HP = 2HP + 110 and for others 2stat + 5), creates _final stat columns via join, adds a row-wise total (axis=1) and finds Mew as the first with total > 600 and the last Pokémon’s final speed = 165, converts three is_* flags to Boolean and primary type to categorical, plots colored bar and horizontal bar charts and violin plots for speed by type, saves the figure and the code runs end‑to‑end producing the described outputs.

AI-written summary · about

" chapters (13)

1. 0:00Welcome
2. 1:07Setting up the environment and repository
3. 13:33Pandas DataFrames and Series
4. 31:26Pokémon stats and broadcasting
5. 1:06:22Data types and Boolean ops
6. 1:36:53Coffee break
7. 1:37:37Efficient data transformations
8. 1:43:51Matplotlib basics
9. 2:00:08Line plots with Pokémon data
10. 2:07:16Bar plots for type distribution
11. 2:33:35Plot colors and labels
12. 2:51:14Violin plots for stats
13. 3:00:32Final thoughts and resources

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