scientific-visualization-book VS polars

knowing matplotlib really well gets really pro viz tbh, this https://github.com/rougier/scientific-visualization-book is the best resource for it imo. Its a bit more work but you can get really great results

I had the same problem until I found this tutorial:

https://github.com/rougier/matplotlib-tutorial

If you wan something deeper the same person has written a book:

https://github.com/rougier/scientific-visualization-book

i saw this one : > https://github.com/rougier/scientific-visualization-book

I re-created the hatching using matplotlib as shown here.

From the open access book "Scientific Visualization: Python + Matplotlib. Code: dungeon.py

For python this open access book is excellent: https://github.com/rougier/scientific-visualization-book

This is because 0.1 is in actuality the floating point value value 0.1000000000000000055511151231257827021181583404541015625, and thus 1 divided by it is ever so slightly smaller than 10. Nevertheless, fpround(1 / fpround(1 / 10)) = 10 exactly.

I found out about this recently because in Polars I defined a // b for floats to be (a / b).floor(), which does return 10 for this computation. Since Python's correctly-rounded division is rather expensive, I chose to stick to this (more context: https://github.com/pola-rs/polars/issues/14596#issuecomment-...).

https://github.com/pola-rs/polars/releases/tag/py-0.19.0

That turned out to be related to pola-rs/polars#11912, and this linked comment provided a deceptively simple solution - use PARSE_DECLTYPES when creating the connection: