issue_comments

da.copy(data=da.data.todense()).plot() should work.

It works indeed, thank you!

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. ```