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  • hoonhout · 3 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
265422603 https://github.com/pydata/xarray/pull/1148#issuecomment-265422603 https://api.github.com/repos/pydata/xarray/issues/1148 MDEyOklzc3VlQ29tbWVudDI2NTQyMjYwMw== hoonhout 7442202 2016-12-07T11:21:27Z 2016-12-07T11:21:27Z CONTRIBUTOR

I think this request is now ready to be pulled, right? Otherwise I keep merging these what's new lines :-)

 
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   Expose options for axis sharing between subplots 192816291
264471623 https://github.com/pydata/xarray/pull/1148#issuecomment-264471623 https://api.github.com/repos/pydata/xarray/issues/1148 MDEyOklzc3VlQ29tbWVudDI2NDQ3MTYyMw== hoonhout 7442202 2016-12-02T14:53:43Z 2016-12-02T14:53:43Z CONTRIBUTOR

Sure, I'll make my example into a test.

BTW, I would recommend to keep the default True.

Seaborn's default is indeed shared axes. This makes sense as a FacetGrid is intended to visualize single-source data.

MPL's default is indeed not to share axes. This also makes sense as MPL doesn't have any constraints on the data source.

 
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   Expose options for axis sharing between subplots 192816291
264455218 https://github.com/pydata/xarray/pull/1148#issuecomment-264455218 https://api.github.com/repos/pydata/xarray/issues/1148 MDEyOklzc3VlQ29tbWVudDI2NDQ1NTIxOA== hoonhout 7442202 2016-12-02T13:36:39Z 2016-12-02T13:40:14Z CONTRIBUTOR

Here is an example of a random polar plot that doesn't work without the suggested modification:

```python import xarray import numpy as np from collections import OrderedDict from datetime import datetime

define dimensions

dims = OrderedDict([ ('time', [datetime(2016,12,1,1,0,0), datetime(2016,12,1,1,20,0)]), ('location', np.arange(3)), ('frequency', np.linspace(.1, .5, 20)), ('direction', np.linspace(0., 2.*np.pi, 50)), ])

create random data

E = np.random.rand(*[len(x) for x in dims.itervalues()])

construct DataArray

darray = xarray.DataArray(E, dims=dims, coords=dims)

plot data

darray.plot.pcolormesh(col='time', row='location', subplot_kws=dict(projection='polar'), sharex=False, sharey=False) ```

 
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   Expose options for axis sharing between subplots 192816291

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