home / github / pull_requests

Menu
  • GraphQL API
  • Search all tables

pull_requests: 1118192654

This data as json

id node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
1118192654 PR_kwDOAMm_X85CpkQO 7277 closed 0 Require to explicitly defining optional dimensions such as hue and markersize 14371165 - [x] Closes #7314 - [x] Closes #7268 * Matplotlib adds default colors with `plt.plot(x, y)` when `y` is a 2D array. * Matplotlib prioritizes `c` over default colors with `plt.plot(x, y, c="blue")` when `y` is a 2D array. * Seaborn prioritizes `hue` over `c`, but all plot axes has to be explicit. The plot1d function now follows closer to seaborns example and require explicitly defining optional dimensions such as hue/markersize. Positives and negatives: +++ Reliable performance, won't accidentally choose large and heavy arrays to plot. \- Loss of dimension information for default values, will essentially flatten the n-dimensional arrays. \- Other xarray plot functions guesses quite a bit as well, API is not consistent. Required dimensions like the x-axis will still be guessed since the mpl errors weren't very intuitive. While at it: * Make it possible to prioritize certain mpl kwargs when hue/markersize isn't defined. * Fix integer coords in `plot1`d and facetgrid, use `.coords` instead of `getitem`. 2022-11-10T19:23:28Z 2023-02-11T20:55:16Z 2023-02-11T20:55:16Z 2023-02-11T20:55:16Z 9ff932a564ec1e19918120bab0ec78f1f87df07b     0 bcdd8188d52b79f3316b626796b6a31dc0926945 7683442774c8036e0b13851df62bda067b2a65d5 MEMBER   13221727 https://github.com/pydata/xarray/pull/7277  

Links from other tables

  • 4 rows from pull_requests_id in labels_pull_requests
Powered by Datasette ยท Queries took 11.561ms