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  • DataArray plotting: pyplot compat and passing the style · 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
475284043 https://github.com/pydata/xarray/issues/2837#issuecomment-475284043 https://api.github.com/repos/pydata/xarray/issues/2837 MDEyOklzc3VlQ29tbWVudDQ3NTI4NDA0Mw== aldanor 2418513 2019-03-21T15:43:56Z 2019-03-21T15:58:23Z NONE

matplotlib only knows about numpy arrays so plt.plot(arr, ...) will act like plt.plot(arr.values, ...) by design.

How does it (matplotlib) preserve Series index then?

style is pandas-only kwarg (xarray lightly wraps matplotlib)

Would it make sense to make it (DA plotting interface) a bit more pandas-compatible by supporting style? Given that it copies pandas syntax like arr.plot.line() anyway...

Also, if plot() is meant to be a thin wrapper around matplotlib, it should support positional arguments, since you can do plt.plot(x, y, '.-') just fine, but da.plot('.-') fails complaining about unexpected positional arguments.

Currently, neither of the two options above work, making DA plot interface inferior to both raw matplotlib and pandas.

 
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   DataArray plotting: pyplot compat and passing the style 423774214
475289244 https://github.com/pydata/xarray/issues/2837#issuecomment-475289244 https://api.github.com/repos/pydata/xarray/issues/2837 MDEyOklzc3VlQ29tbWVudDQ3NTI4OTI0NA== aldanor 2418513 2019-03-21T15:55:13Z 2019-03-21T15:55:13Z NONE

I think it plots assuming that the index is [0:len(da.values)].

Nope. It plots datetime index just fine.

 
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   DataArray plotting: pyplot compat and passing the style 423774214

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