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Official Matplotlib cheat sheets
The handout thumbnails don't look very good on github's dark theme: ![s](https://user-images.githubusercontent.com/1322974/167252928-e9024d12-0ea7-4730-9f13-d3cebc3a3137.png)
Closes #109 Closes #111 Hard to make the `subplot_adjusts` figure look really good, but here is the update one: ![image](https://user-images.githubusercontent.com/8114497/169652955-90e4fc0e-19b5-4447-8182-2b51cd81bb48.png) Stairs illustration: ![image](https://user-images.githubusercontent.com/8114497/169652989-469230df-2b56-4704-a139-41fb551b6c82.png) (Both are screen shots of the PDF.)...
See the discussion in https://github.com/matplotlib/matplotlib/issues/22277
Very thankful of the cheatsheet, but I think there's a little problem. In 'Axes adjustments' of the second cheatsheet, 'right' directly refers to the padding between **subplots' right edge** and...
The cheatsheets comment the method "`ax.set_[xy]ticks(rotation=90)`" to rotate ticks. However, it can cause confusion because the parameter "takes effect only if you pass labels"(official tutorial of `ax.set_[xy]ticks()`. So this is...
This is the beginning of a bigger effort to refactor the figure generation scripts to use style sheets. The goal is make the scripts a bit more DRY and to...
- combine all the handout-tips scripts into one - expected to help with #88
Based on https://github.com/matplotlib/cheatsheets/pull/80#issuecomment-955173036, there may be an opportunity to reduce the number of image interpolation methods that are demonstrated, and make room for new material.
In many places we have uppercase variables, e.g. ``` X = np.linspace(0, 2 * np.pi, 100) Y = np.sin(X) ``` and likewise then in the plot functions. This is against...