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 628089013,MDU6SXNzdWU2MjgwODkwMTM=,4115,DataArray.plot.line color kwarg,6588826,closed,0,,,2,2020-06-01T01:14:17Z,2020-06-01T19:43:54Z,2020-06-01T19:43:54Z,NONE,,,,"matplotlib.colors throws ValueError when a list of colors is passed to xr.DataArray.plot.line #### MCVE Code Sample ```python import matplotlib import matplotlib.colors import matplotlib.cm import xarray as xr import numpy as np data = np.random.random((10,10)) x = np.arange(0,1.0,0.1) y = np.arange(0,100,10.0) norm = matplotlib.colors.Normalize(vmin=y.min(),vmax=y.max()) cmapper = matplotlib.cm.ScalarMappable(norm=norm,cmap=matplotlib.cm.viridis).to_rgba da = xr.DataArray(data,dims=['x','y'],coords={'x':x,'y':y}) # da.plot.line(x='x',color=cmapper(da.y.values)) #throws ValueError in matplotlib/colors.py da.to_pandas().plot(color=cmapper(da.y.values)) ``` #### Expected Output ![image](https://user-images.githubusercontent.com/6588826/83367358-24ff2b80-a382-11ea-8b97-cd8c74363f8a.png) #### Problem Description I need to be able to map coordinate values to colors so that data plotted from different arrays are always aligned in colorspace. Depending on the data, specific y-values may be missing so a simple color cycle doesn't work here unfortunately. Passing a list of colors to pandas.plot seems to work but not for xarray.plot. While the obvious workaround is to cast to pandas, is there something I can do to make this work for xarray? #### Versions
Output of xr.show_versions() INSTALLED VERSIONS ------------------ commit: None python: 3.7.6 | packaged by conda-forge | (default, Mar 23 2020, 22:45:16) [Clang 9.0.1 ] python-bits: 64 OS: Darwin OS-release: 19.4.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.5 libnetcdf: 4.7.3 xarray: 0.15.1 pandas: 1.0.3 numpy: 1.18.4 scipy: 1.4.1 netCDF4: 1.5.3 pydap: None h5netcdf: None h5py: 2.10.0 Nio: None zarr: None cftime: 1.1.1.1 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.12.0 distributed: None matplotlib: 3.2.1 cartopy: None seaborn: 0.10.1 numbagg: None setuptools: 47.1.0.post20200528 pip: 20.1.1 conda: None pytest: None IPython: 7.13.0 sphinx: None
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