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/3484#issuecomment-627316607,https://api.github.com/repos/pydata/xarray/issues/3484,627316607,MDEyOklzc3VlQ29tbWVudDYyNzMxNjYwNw==,23187108,2020-05-12T12:39:07Z,2020-05-12T12:39:07Z,NONE,"> da.copy(data=da.data.todense()).plot() should work.

It works indeed, thank you!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,517338735
https://github.com/pydata/xarray/issues/3484#issuecomment-626787590,https://api.github.com/repos/pydata/xarray/issues/3484,626787590,MDEyOklzc3VlQ29tbWVudDYyNjc4NzU5MA==,23187108,2020-05-11T15:49:24Z,2020-05-11T15:49:24Z,NONE,"Hello, do you have any documentation on how to plot data in a sparse array using `xarray.plot` accessor? 
I get this error, but if I convert to numpy/scipy  with `todense()` method I will likely lose the convenient plot method from xarray... Thank you for your help
```python
-------------------------------------------------------------------------
RuntimeError                            Traceback (most recent call last)
<ipython-input-331-9d69abf57c11> in <module>
----> 1 slice_res_ds['value'].plot()

~/.pyenv/versions/emi/lib/python3.6/site-packages/xarray/plot/plot.py in __call__(self, **kwargs)
    463 
    464     def __call__(self, **kwargs):
--> 465         return plot(self._da, **kwargs)
    466 
    467     @functools.wraps(hist)

~/.pyenv/versions/emi/lib/python3.6/site-packages/xarray/plot/plot.py in plot(darray, row, col, col_wrap, ax, hue, rtol, subplot_kws, **kwargs)
    200     kwargs[""ax""] = ax
    201 
--> 202     return plotfunc(darray, **kwargs)
    203 
    204 

~/.pyenv/versions/emi/lib/python3.6/site-packages/xarray/plot/plot.py in newplotfunc(darray, x, y, figsize, size, aspect, ax, row, col, col_wrap, xincrease, yincrease, add_colorbar, add_labels, vmin, vmax, cmap, center, robust, extend, levels, infer_intervals, colors, subplot_kws, cbar_ax, cbar_kwargs, xscale, yscale, xticks, yticks, xlim, ylim, norm, **kwargs)
    692 
    693         # Pass the data as a masked ndarray too
--> 694         zval = darray.to_masked_array(copy=False)
    695 
    696         # Replace pd.Intervals if contained in xval or yval.

~/.pyenv/versions/emi/lib/python3.6/site-packages/xarray/core/dataarray.py in to_masked_array(self, copy)
   2301             Masked where invalid values (nan or inf) occur.
   2302         """"""
-> 2303         values = self.values  # only compute lazy arrays once
   2304         isnull = pd.isnull(values)
   2305         return np.ma.MaskedArray(data=values, mask=isnull, copy=copy)

~/.pyenv/versions/emi/lib/python3.6/site-packages/xarray/core/dataarray.py in values(self)
    565     def values(self) -> np.ndarray:
    566         """"""The array's data as a numpy.ndarray""""""
--> 567         return self.variable.values
    568 
    569     @values.setter

~/.pyenv/versions/emi/lib/python3.6/site-packages/xarray/core/variable.py in values(self)
    446     def values(self):
    447         """"""The variable's data as a numpy.ndarray""""""
--> 448         return _as_array_or_item(self._data)
    449 
    450     @values.setter

~/.pyenv/versions/emi/lib/python3.6/site-packages/xarray/core/variable.py in _as_array_or_item(data)
    252     TODO: remove this (replace with np.asarray) once these issues are fixed
    253     """"""
--> 254     data = np.asarray(data)
    255     if data.ndim == 0:
    256         if data.dtype.kind == ""M"":

~/.pyenv/versions/emi/lib/python3.6/site-packages/numpy/core/_asarray.py in asarray(a, dtype, order)
     83 
     84     """"""
---> 85     return array(a, dtype, copy=False, order=order)
     86 
     87 

~/.pyenv/versions/emi/lib/python3.6/site-packages/sparse/_sparse_array.py in __array__(self, **kwargs)
    221         if not AUTO_DENSIFY:
    222             raise RuntimeError(
--> 223                 ""Cannot convert a sparse array to dense automatically. ""
    224                 ""To manually densify, use the todense method.""
    225             )

RuntimeError: Cannot convert a sparse array to dense automatically. To manually densify, use the todense method.
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,517338735