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- Expose options for axis sharing between subplots · 3 ✖
| 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 dimensionsdims = 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 dataE = np.random.rand(*[len(x) for x in dims.itervalues()]) construct DataArraydarray = xarray.DataArray(E, dims=dims, coords=dims) plot datadarray.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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