issue_comments: 457766633

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https://github.com/pydata/xarray/pull/2665#issuecomment-457766633 https://api.github.com/repos/pydata/xarray/issues/2665 457766633 MDEyOklzc3VlQ29tbWVudDQ1Nzc2NjYzMw== 14314623 2019-01-25T23:10:48Z 2019-01-25T23:10:48Z CONTRIBUTOR

Ok so the plotting works now with both timeseries and 2d data as follows

``` import xarray as xr import numpy as np %matplotlib inline

Create a simple line dataarray with cftime

time = xr.cftime_range(start='2000', periods=4, freq='1H', calendar='noleap') data = np.random.rand(len(time)) da = xr.DataArray(data, coords=[('time', time)]) da.plot() ![download](https://user-images.githubusercontent.com/14314623/51777752-6d427580-20cc-11e9-9c3d-a91d31b10312.png)

Check with 2d data

time = xr.cftime_range(start='2000', periods=6, freq='2MS', calendar='noleap') data2 = np.random.rand(len(time), 4) da2 = xr.DataArray(data2, coords=[('time', time), ('other', range(4))]) da2.plot() ``` 

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