html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/1397#issuecomment-299202380,https://api.github.com/repos/pydata/xarray/issues/1397,299202380,MDEyOklzc3VlQ29tbWVudDI5OTIwMjM4MA==,10050469,2017-05-04T14:30:46Z,2017-05-04T14:30:46Z,MEMBER,"OK, I've had success with ``ax.set_aspect('equal', 'box-forced')``:
```python
p = ano.T2M.plot(col='month', col_wrap=4, transform=ccrs.PlateCarree(),
subplot_kws={'projection': ccrs.PlateCarree()});
for ax in p.axes.flat:
ax.add_feature(cartopy.feature.BORDERS)
ax.add_feature(cartopy.feature.COASTLINE)
ax.set_extent([70, 100, 25, 40])
ax.set_aspect('equal', 'box-forced')
```
Note that the result will look better if you set ``aspect`` in xarray's facetgrid first, since it will decide on a cleverer figsize based on this information:
```python
p = ano.T2M.plot(col='month', col_wrap=4, transform=ccrs.PlateCarree(),
aspect=ds.dims['lon']/ds.dims['lat'],
subplot_kws={'projection': ccrs.PlateCarree()});
for ax in p.axes.flat:
ax.add_feature(cartopy.feature.BORDERS)
ax.add_feature(cartopy.feature.COASTLINE)
ax.set_extent([70, 100, 25, 40])
ax.set_aspect('equal', 'box-forced')
```
","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,225846258
https://github.com/pydata/xarray/issues/1397#issuecomment-299193840,https://api.github.com/repos/pydata/xarray/issues/1397,299193840,MDEyOklzc3VlQ29tbWVudDI5OTE5Mzg0MA==,10050469,2017-05-04T14:01:37Z,2017-05-04T14:01:37Z,MEMBER,"``aspect='auto'`` does ""work"", but it looks ugly because it doesn't preserve aspect ratio:
The default is ``aspect='equal'``, which is good for the maps geometry but it shouldn't be ignored by the axes of the facetgrid, I think we have to do something on the xarray side here, unless there is a way to preserve the aspect ratio already. I'll dig into this.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,225846258
https://github.com/pydata/xarray/issues/1397#issuecomment-299190567,https://api.github.com/repos/pydata/xarray/issues/1397,299190567,MDEyOklzc3VlQ29tbWVudDI5OTE5MDU2Nw==,10050469,2017-05-04T13:49:40Z,2017-05-04T13:49:40Z,MEMBER,"@darothen did you find out how to control the map extent in facetgrids? See this example:
```python
p = ano.T2M.plot(col='month', col_wrap=4, transform=ccrs.PlateCarree(),
subplot_kws={'projection': ccrs.PlateCarree()});
for ax in p.axes.flat:
ax.add_feature(cartopy.feature.BORDERS)
ax.add_feature(cartopy.feature.COASTLINE)
ax.set_extent([70, 100, 25, 40])
```
Cartopy basically ignores my ``extent'' since it wants to make the plots more quadratic than they should:
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,225846258
https://github.com/pydata/xarray/issues/1397#issuecomment-299049285,https://api.github.com/repos/pydata/xarray/issues/1397,299049285,MDEyOklzc3VlQ29tbWVudDI5OTA0OTI4NQ==,10050469,2017-05-03T22:06:16Z,2017-05-03T22:06:16Z,MEMBER,What is it exactly what you are trying to do?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,225846258
https://github.com/pydata/xarray/issues/1397#issuecomment-299009125,https://api.github.com/repos/pydata/xarray/issues/1397,299009125,MDEyOklzc3VlQ29tbWVudDI5OTAwOTEyNQ==,10050469,2017-05-03T19:19:59Z,2017-05-03T19:19:59Z,MEMBER,"> it's simple to add the colorbar, but not easy to make it horizontal
You can try:
```
ds.Tair[0].plot.pcolormesh(ax=ax, transform=ccrs.PlateCarree(), x='xc', y='yc',
cbar_kwargs={'orientation':'horizontal'});
```
> xarray plotting tools, which are useful for quick checks, but not publication-quality figures?
Yes, as a general purpose tool xarray will try to avoid the proliferation of keyword arguments. If you have very specific needs you might need to tweak the plots yourself. Fortunately, this is easy to do on top of xarray since you can control the axes, plots, and so on.
We could add more advanced examples to the docs though (for example in the gallery I had no time to add yet :( )
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,225846258
https://github.com/pydata/xarray/issues/1397#issuecomment-298855171,https://api.github.com/repos/pydata/xarray/issues/1397,298855171,MDEyOklzc3VlQ29tbWVudDI5ODg1NTE3MQ==,10050469,2017-05-03T08:49:23Z,2017-05-03T08:49:23Z,MEMBER,"This is what I get:
```python
import xarray as xr
import cartopy
import cartopy.crs as ccrs
import matplotlib
import matplotlib.pyplot as plt
%matplotlib inline
print(xr.__version__)
print(cartopy.__version__)
print(matplotlib.__version__)
ds = xr.tutorial.load_dataset('rasm')
plt.figure(figsize=(14, 4));
ax = plt.axes(projection=ccrs.Robinson());
ds.Tair[0].plot.pcolormesh(ax=ax, transform=ccrs.PlateCarree(),
x='xc', y='yc', add_colorbar=False);
ax.coastlines();
plt.tight_layout();
```
```
0.9.5-1-gab4ffee
0.14.2
2.0.0
```
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,225846258
https://github.com/pydata/xarray/issues/1397#issuecomment-298832853,https://api.github.com/repos/pydata/xarray/issues/1397,298832853,MDEyOklzc3VlQ29tbWVudDI5ODgzMjg1Mw==,10050469,2017-05-03T06:32:56Z,2017-05-03T06:32:56Z,MEMBER,"I don't have this problem. did you use the code from the documentation?
http://xarray.pydata.org/en/latest/examples/multidimensional-coords.html","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,225846258