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  • astoeriko · 3 ✖

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  • Wrong hue assignment in scatter plot · 3 ✖

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  • NONE · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
737853069 https://github.com/pydata/xarray/issues/4641#issuecomment-737853069 https://api.github.com/repos/pydata/xarray/issues/4641 MDEyOklzc3VlQ29tbWVudDczNzg1MzA2OQ== astoeriko 42246615 2020-12-03T10:31:33Z 2020-12-03T10:42:32Z NONE

Here are the plots demonstrating what I mean.

The “upright” rectangle (in the intervals [0, 0.5] and [0, 2]) of points represents the data corresponding to category "A". However, it is colored in blue, which corresponds to category "B". The order of labels in the legend is correct in the sense that it conserves the order in the Dataset.

In the second image, the color assignment in the plot is correct – data corresponding to category "A" is still colored in blue but that now corresponds to category "A". The legend is now alphabetically ordered instead of conserving the order the category coordinate in the Dataset. 

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   Wrong hue assignment in scatter plot 755105132
737190620 https://github.com/pydata/xarray/issues/4641#issuecomment-737190620 https://api.github.com/repos/pydata/xarray/issues/4641 MDEyOklzc3VlQ29tbWVudDczNzE5MDYyMA== astoeriko 42246615 2020-12-02T12:09:48Z 2020-12-02T12:09:48Z NONE

As my original plot still was wrong after updating I investigated a bit further: The problem persists when also faceting. Here is my new example where, again, data of category "A" get colored as "B" and vice versa. ```python import xarray as xr import numpy as np

u = np.random.rand(50, 2, 2) * np.array([1, 2]) v = np.random.rand(50, 2) * np.array([1, 0.5])

ds = xr.Dataset( { "u": (("x", "foo", "category"), u), "v": (("x", "category"), v), }, coords={"category": ["B", "A"], "foo": [1, 2]} )

g = ds.plot.scatter( y="u", x="v", hue="category", col="foo" ); ``` I am sorry for the confusion.

Output of `xr.show_versions()` INSTALLED VERSIONS ------------------ commit: None python: 3.7.8 | packaged by conda-forge | (default, Nov 27 2020, 19:24:58) [GCC 9.3.0] python-bits: 64 OS: Linux OS-release: 4.15.0-122-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.16.2 pandas: 1.1.2 numpy: 1.17.5 scipy: 1.5.3 netCDF4: 1.5.4 pydap: None h5netcdf: None h5py: 2.10.0 Nio: None zarr: 2.4.0 cftime: 1.3.0 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.26.0 distributed: 2.30.1 matplotlib: 3.3.2 cartopy: None seaborn: 0.11.0 numbagg: None pint: None setuptools: 49.6.0.post20201009 pip: 20.3 conda: 4.8.3 pytest: 6.0.1 IPython: 7.19.0 sphinx: None 
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   Wrong hue assignment in scatter plot 755105132
737127510 https://github.com/pydata/xarray/issues/4641#issuecomment-737127510 https://api.github.com/repos/pydata/xarray/issues/4641 MDEyOklzc3VlQ29tbWVudDczNzEyNzUxMA== astoeriko 42246615 2020-12-02T10:05:21Z 2020-12-02T10:05:21Z NONE

After updating xarray to 0.16.2, the colors in the plot agree with the colors in the legend, so the error indicated above does not persist. We can probably close this issue. However, this seems to be achieved not by changing the colors in the plot but by sorting the legend as well. That is, the order of the category variable in the legend is ["A", "B"], although I specified it to be ["B", "A"] in the dataset. I am not sure if this is an intended behaviour?

 
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   Wrong hue assignment in scatter plot 755105132

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