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There's an example on the home page: https://xarray.dev/ together with a notebook-like widget where the user is instructed to try out the code. The kernel however isn't preloaded with an installed version of matplotlib, so the example doesn't run:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[2], line 44
41 data.mean(dim=["time", "lat"])
43 # quick and convenient visualizations
---> 44 data.isel(lon=0).plot();
46 # Pretty neat, eh? :)
47 # For more, head over to the documentation page
File /lib/python3.12/site-packages/xarray/plot/accessor.py:48, in DataArrayPlotAccessor.__call__(self, **kwargs)
46 @functools.wraps(dataarray_plot.plot, assigned=("__doc__", "__annotations__"))
47 def __call__(self, **kwargs) -> Any:
---> 48 return dataarray_plot.plot(self._da, **kwargs)
File /lib/python3.12/site-packages/xarray/plot/dataarray_plot.py:309, in plot(darray, row, col, col_wrap, ax, hue, subplot_kws, **kwargs)
305 plotfunc = hist
307 kwargs["ax"] = ax
--> 309 return plotfunc(darray, **kwargs)
File /lib/python3.12/site-packages/xarray/plot/dataarray_plot.py:1571, in _plot2d.<locals>.newplotfunc(***failed resolving arguments***)
1567 yplt, ylab_extra = _resolve_intervals_2dplot(yvalnp, plotfunc.__name__)
1569 _ensure_plottable(xplt, yplt, zval)
-> 1571 cmap_params, cbar_kwargs = _process_cmap_cbar_kwargs(
1572 plotfunc,
1573 zval.data,
1574 **locals(),
1575 _is_facetgrid=kwargs.pop("_is_facetgrid", False),
1576 )
1578 if "contour" in plotfunc.__name__:
1579 # extend is a keyword argument only for contour and contourf, but
1580 # passing it to the colorbar is sufficient for imshow and
1581 # pcolormesh
1582 kwargs["extend"] = cmap_params["extend"]
File /lib/python3.12/site-packages/xarray/plot/utils.py:944, in _process_cmap_cbar_kwargs(func, data, cmap, colors, cbar_kwargs, levels, _is_facetgrid, **kwargs)
942 cmap_kwargs.update((a, kwargs[a]) for a in cmap_args if a in kwargs)
943 if not _is_facetgrid:
--> 944 cmap_params = _determine_cmap_params(**cmap_kwargs)
945 else:
946 cmap_params = {
947 k: cmap_kwargs[k]
948 for k in ["vmin", "vmax", "cmap", "extend", "levels", "norm"]
949 }
File /lib/python3.12/site-packages/xarray/plot/utils.py:180, in _determine_cmap_params(plot_data, vmin, vmax, cmap, center, robust, extend, levels, filled, norm, _is_facetgrid)
154 def _determine_cmap_params(
155 plot_data,
156 vmin=None,
(...)
165 _is_facetgrid=False,
166 ):
167 """
168 Use some heuristics to set good defaults for colorbar and range.
169
(...)
178 Use depends on the type of the plotting function
179 """
--> 180 import matplotlib as mpl
182 if isinstance(levels, Iterable):
183 levels = sorted(levels)
ModuleNotFoundError: No module named 'matplotlib'
The text was updated successfully, but these errors were encountered:
There's an example on the home page: https://xarray.dev/ together with a notebook-like widget where the user is instructed to try out the code. The kernel however isn't preloaded with an installed version of matplotlib, so the example doesn't run:
The text was updated successfully, but these errors were encountered: