issues: 1444440024

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1444440024 PR_kwDOAMm_X85CpkQO 7277 Require to explicitly defining optional dimensions such as hue and markersize 14371165 closed 0     5 2022-11-10T19:23:28Z 2023-02-11T20:55:16Z 2023-02-11T20:55:16Z MEMBER   0 pydata/xarray/pulls/7277
  • [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 plot1d and facetgrid, use .coords instead of getitem.

 
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