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
447044177,MDU6SXNzdWU0NDcwNDQxNzc=,2980,Jupyter Notebooks for Tutorials(USER GUIDE),30382331,open,0,,,3,2019-05-22T10:01:26Z,2022-04-09T02:07:55Z,,NONE,,,,"This issue is more of a suggestion.

A small issue that users reading documentation face is unavailability of jupyter notebooks for the tutorial docs [User Guide](http://xarray.pydata.org/en/stable/data-structures.html). User constantly has to copy paste code from the documentation or `.rst` file which results in wastage of time.
Having executable notebooks for new users would help them save time and quickly move on to using `xarray` for their specific tasks.It would ease the learning process for new users which may somehow bring more contributors to xarray community. 

Let's take example of `pyviz`, `holoviews`, `pytorch`.

[00 Setup — PyViz 0.10.0 documentation](http://pyviz.org/tutorial/00_Setup.html)

[holoviews/examples/user_guide at master · pyviz/holoviews · GitHub](https://github.com/pyviz/holoviews/tree/master/examples/user_guide)

[Chatbot Tutorial — PyTorch Tutorials 1.1.0.dev20190507 documentation](https://pytorch.org/tutorials/beginner/chatbot_tutorial.html)

All of them provide option to download the tutorial in the form of `.ipynb` file either in the beginning or end of the notebook.

","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2980/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,issue
469117528,MDU6SXNzdWU0NjkxMTc1Mjg=,3137,.sel method gives error with float32 values,30382331,closed,0,,,8,2019-07-17T10:37:29Z,2019-08-10T22:24:27Z,2019-08-10T22:24:27Z,NONE,,,,"
`.sel` method gives error when it is used to select `float32` values however it works fine for  `float64`
Example:
```python
import xarray as xr
import numpy as np

a = np.asarray([0.    , 0.111, 0.222, 0.333], dtype='float32')
ds = xr.Dataset(coords={'a': (['a'],a )})
ds.a.sel({'a': 0.111})
```
Error Traceback:
```python
KeyError                                  Traceback (most recent call last)
~/anaconda3/envs/check3/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
   2656             try:
-> 2657                 return self._engine.get_loc(key)
   2658             except KeyError:

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Float64HashTable.get_item()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Float64HashTable.get_item()

KeyError: 0.111

During handling of the above exception, another exception occurred:

KeyError                                  Traceback (most recent call last)
<ipython-input-7-b4190c1d9580> in <module>
      4 a = np.asarray([0.    , 0.111, 0.222, 0.333], dtype='float32')
      5 ds = xr.Dataset(coords={'a': (['a'],a )})
----> 6 ds.a.sel({'a': 0.111})
      7 ds.a.sel({'a': 0.111}, method= 'nearest')

~/anaconda3/envs/check3/lib/python3.7/site-packages/xarray/core/dataarray.py in sel(self, indexers, method, tolerance, drop, **indexers_kwargs)
    853         ds = self._to_temp_dataset().sel(
    854             indexers=indexers, drop=drop, method=method, tolerance=tolerance,
--> 855             **indexers_kwargs)
    856         return self._from_temp_dataset(ds)
    857 

~/anaconda3/envs/check3/lib/python3.7/site-packages/xarray/core/dataset.py in sel(self, indexers, method, tolerance, drop, **indexers_kwargs)
   1729         indexers = either_dict_or_kwargs(indexers, indexers_kwargs, 'sel')
   1730         pos_indexers, new_indexes = remap_label_indexers(
-> 1731             self, indexers=indexers, method=method, tolerance=tolerance)
   1732         result = self.isel(indexers=pos_indexers, drop=drop)
   1733         return result._overwrite_indexes(new_indexes)

~/anaconda3/envs/check3/lib/python3.7/site-packages/xarray/core/coordinates.py in remap_label_indexers(obj, indexers, method, tolerance, **indexers_kwargs)
    315 
    316     pos_indexers, new_indexes = indexing.remap_label_indexers(
--> 317         obj, v_indexers, method=method, tolerance=tolerance
    318     )
    319     # attach indexer's coordinate to pos_indexers

~/anaconda3/envs/check3/lib/python3.7/site-packages/xarray/core/indexing.py in remap_label_indexers(data_obj, indexers, method, tolerance)
    250         else:
    251             idxr, new_idx = convert_label_indexer(index, label,
--> 252                                                   dim, method, tolerance)
    253             pos_indexers[dim] = idxr
    254             if new_idx is not None:

~/anaconda3/envs/check3/lib/python3.7/site-packages/xarray/core/indexing.py in convert_label_indexer(index, label, index_name, method, tolerance)
    179                 indexer, new_index = index.get_loc_level(label.item(), level=0)
    180             else:
--> 181                 indexer = get_loc(index, label.item(), method, tolerance)
    182         elif label.dtype.kind == 'b':
    183             indexer = label

~/anaconda3/envs/check3/lib/python3.7/site-packages/xarray/core/indexing.py in get_loc(index, label, method, tolerance)
    106 def get_loc(index, label, method=None, tolerance=None):
    107     kwargs = _index_method_kwargs(method, tolerance)
--> 108     return index.get_loc(label, **kwargs)
    109 
    110 

~/anaconda3/envs/check3/lib/python3.7/site-packages/pandas/core/indexes/numeric.py in get_loc(self, key, method, tolerance)
    434             pass
    435         return super(Float64Index, self).get_loc(key, method=method,
--> 436                                                  tolerance=tolerance)
    437 
    438     @cache_readonly

~/anaconda3/envs/check3/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
   2657                 return self._engine.get_loc(key)
   2658             except KeyError:
-> 2659                 return self._engine.get_loc(self._maybe_cast_indexer(key))
   2660         indexer = self.get_indexer([key], method=method, tolerance=tolerance)
   2661         if indexer.ndim > 1 or indexer.size > 1:

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Float64HashTable.get_item()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Float64HashTable.get_item()

KeyError: 0.111
```
xarray version: 0.12.1
numpy version: 1.16.3","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3137/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue