importmatplotlib.pyplotaspltimportpandasaspddf=pd.DataFrame({'foo' : [1,2],'bar' : [3,np.nan]    })# works as expectedplt.pcolormesh(df)# crashesplt.pcolormesh(df.astype('Int64'))

---------------------------------------------------------------------------TypeError                                 Traceback (most recent call last)Input In [28], in <cell line: 13>()     10 plt.pcolormesh(df)     12 # crashes---> 13 plt.pcolormesh(df.astype('Int64'))File ~/.virtualenvs/teaching/lib/python3.10/site-packages/matplotlib/pyplot.py:2728, in pcolormesh(alpha, norm, cmap, vmin, vmax, shading, antialiased, data, *args, **kwargs)   2723 @_copy_docstring_and_deprecators(Axes.pcolormesh)   2724 def pcolormesh(   2725         *args, alpha=None, norm=None, cmap=None, vmin=None,   2726         vmax=None, shading=None, antialiased=False, data=None,   2727         **kwargs):-> 2728     __ret = gca().pcolormesh(   2729         *args, alpha=alpha, norm=norm, cmap=cmap, vmin=vmin,   2730         vmax=vmax, shading=shading, antialiased=antialiased,   2731         **({"data": data} if data is not None else {}), **kwargs)   2732     sci(__ret)   2733     return __retFile ~/.virtualenvs/teaching/lib/python3.10/site-packages/matplotlib/__init__.py:1414, in _preprocess_data.<locals>.inner(ax, data, *args, **kwargs)   1411 @functools.wraps(func)   1412 def inner(ax, *args, data=None, **kwargs):   1413     if data is None:-> 1414         return func(ax, *map(sanitize_sequence, args), **kwargs)   1416     bound = new_sig.bind(ax, *args, **kwargs)   1417     auto_label = (bound.arguments.get(label_namer)   1418                   or bound.kwargs.get(label_namer))File ~/.virtualenvs/teaching/lib/python3.10/site-packages/matplotlib/axes/_axes.py:6072, in Axes.pcolormesh(self, alpha, norm, cmap, vmin, vmax, shading, antialiased, *args, **kwargs)   6068 C = C.ravel()   6070 kwargs.setdefault('snap', rcParams['pcolormesh.snap'])-> 6072 collection = mcoll.QuadMesh(   6073     coords, antialiased=antialiased, shading=shading,   6074     array=C, cmap=cmap, norm=norm, alpha=alpha, **kwargs)   6075 collection._scale_norm(norm, vmin, vmax)   6076 self._pcolor_grid_deprecation_helper()File ~/.virtualenvs/teaching/lib/python3.10/site-packages/matplotlib/collections.py:2015, in QuadMesh.__init__(self, *args, **kwargs)   2012 self._bbox.update_from_data_xy(self._coordinates.reshape(-1, 2))   2013 # super init delayed after own init because array kwarg requires   2014 # self._coordinates and self._shading-> 2015 super().__init__(**kwargs)   2016 self.mouseover = FalseFile ~/.virtualenvs/teaching/lib/python3.10/site-packages/matplotlib/collections.py:217, in Collection.__init__(self, edgecolors, facecolors, linewidths, linestyles, capstyle, joinstyle, antialiaseds, offsets, transOffset, norm, cmap, pickradius, hatch, urls, zorder, **kwargs)    214 self._transOffset = transOffset    216 self._path_effects = None--> 217 self.update(kwargs)    218 self._paths = NoneFile ~/.virtualenvs/teaching/lib/python3.10/site-packages/matplotlib/artist.py:1069, in Artist.update(self, props)   1066             if not callable(func):   1067                 raise AttributeError(f"{type(self).__name__!r} object "   1068                                      f"has no property {k!r}")-> 1069             ret.append(func(v))   1070 if ret:   1071     self.pchanged()File ~/.virtualenvs/teaching/lib/python3.10/site-packages/matplotlib/collections.py:2077, in QuadMesh.set_array(self, A)   2072     if faulty_data:   2073         raise TypeError(   2074             f"Dimensions of A {A.shape} are incompatible with "   2075             f"X ({width}) and/or Y ({height})")-> 2077 return super().set_array(A)File ~/.virtualenvs/teaching/lib/python3.10/site-packages/matplotlib/cm.py:477, in ScalarMappable.set_array(self, A)    475 A = cbook.safe_masked_invalid(A, copy=True)    476 if not np.can_cast(A.dtype, float, "same_kind"):--> 477     raise TypeError(f"Image data of dtype {A.dtype} cannot be "    478                     "converted to float")    480 self._A = ATypeError: Image data of dtype object cannot be converted to float