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  • leroyvn · 2 ✖

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  • plt.pcolormesh will infer interval breaks per default · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
802860838 https://github.com/pydata/xarray/issues/4364#issuecomment-802860838 https://api.github.com/repos/pydata/xarray/issues/4364 MDEyOklzc3VlQ29tbWVudDgwMjg2MDgzOA== leroyvn 34740232 2021-03-19T14:09:35Z 2021-03-19T14:09:52Z NONE

I'm not sure what you mean by that? You can always set infer_interval=False at the xarray level?

Yes indeed, but you cannot pass custom Numpy arrays as the x and y parameters to set.

 
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   plt.pcolormesh will infer interval breaks per default 683777199
759530498 https://github.com/pydata/xarray/issues/4364#issuecomment-759530498 https://api.github.com/repos/pydata/xarray/issues/4364 MDEyOklzc3VlQ29tbWVudDc1OTUzMDQ5OA== leroyvn 34740232 2021-01-13T15:39:51Z 2021-01-13T15:40:59Z NONE

I have a similar issue with nonmonotonic coordinates (mapping a 2D image to a zenith-azimuth space). Solving this is easy when using Matplotlib's API directly, since I can compute mesh coordinates by myself (on a array with one row and one column more) and supply these as pcolormesh()'s x and y arguments; but I can't inject these into xarray's pcolormesh() function. Wouldn't allowing infer_interval=False and passing ordinary arrays as x and y be a good solution?

 
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   plt.pcolormesh will infer interval breaks per default 683777199

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