importmatplotlib.pyplotaspltimportnumpyasnptime=np.arange(0,50,dtype='timedelta64[h]')y=np.arange(10)Z=np.random.randn(10,50)fig,ax=plt.subplots()ax.pcolormesh(time,y,Z)

Traceback (most recent call last):  File "/Users/jklymak/matplotlib/testit.py", line 9, in <module>    ax.pcolormesh(time, y, Z)  File "/Users/jklymak/matplotlib/lib/matplotlib/__init__.py", line 1465, in inner    return func(ax, *map(sanitize_sequence, args), **kwargs)           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^  File "/Users/jklymak/matplotlib/lib/matplotlib/axes/_axes.py", line 6270, in pcolormesh    X, Y, C, shading = self._pcolorargs('pcolormesh', *args,                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^  File "/Users/jklymak/matplotlib/lib/matplotlib/axes/_axes.py", line 5854, in _pcolorargs    X = _interp_grid(X)        ^^^^^^^^^^^^^^^  File "/Users/jklymak/matplotlib/lib/matplotlib/axes/_axes.py", line 5833, in _interp_grid    dX = np.diff(X, axis=1)/2.         ~~~~~~~~~~~~~~~~~~^~~  File "/Users/jklymak/mambaforge/envs/mpl-dev/lib/python3.11/site-packages/numpy/ma/core.py", line 4254, in __truediv__    return true_divide(self, other)           ^^^^^^^^^^^^^^^^^^^^^^^^  File "/Users/jklymak/mambaforge/envs/mpl-dev/lib/python3.11/site-packages/numpy/ma/core.py", line 1171, in __call__    m |= domain(da, db)         ^^^^^^^^^^^^^^  File "/Users/jklymak/mambaforge/envs/mpl-dev/lib/python3.11/site-packages/numpy/ma/core.py", line 858, in __call__    return umath.absolute(a) * self.tolerance >= umath.absolute(b)           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^TypeError: The DType <class 'numpy.dtype[timedelta64]'> could not be promoted by <class 'numpy.dtype[float64]'>. This means that no common DType exists for the given inputs. For example they cannot be stored in a single array unless the dtype is `object`. The full list of DTypes is: (<class 'numpy.dtype[timedelta64]'>, <class 'numpy.dtype[float64]'>)