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pcolormesh throws UFuncTypeError if np.datetime64() and shading='nearest #19191

Closed
@Yoshi2112

Description

@Yoshi2112

Bug report

Bug summary

For people who use numpy.datetime64() arrays with pcolormesh, a DeprecationWarning has been appearing prompting users to specify a shading kwarg 'nearest', 'auto' or 'gouraud' since shading='flat' is being deprecated. However, passing 'nearest' results in a UFuncTypeError when using 'nearest' due to a casting issue in _axes.py from _interp_grid()

Code for reproduction

importnumpyasnpimportmatplotlib.pyplotasplttimes=np.arange(np.datetime64('2020-12-01'),np.datetime64('2020-12-31'))yaxis=np.arange(0,20)caxis=np.random.normal(0.0,1.0, (times.shape[0],yaxis.shape[0]))plt.pcolormesh(times,yaxis,caxis.T,shading='nearest')plt.show()

Actual outcome

Traceback (most recent call last):  File "..\test.py", line 15, in <module>    plt.pcolormesh(times, yaxis, caxis.T, shading='nearest')  File "C:\Users\iarey\anaconda3\lib\site-packages\matplotlib\pyplot.py", line 2801, in pcolormesh    __ret = gca().pcolormesh(  File "C:\Users\iarey\anaconda3\lib\site-packages\matplotlib\__init__.py", line 1438, in inner    return func(ax, *map(sanitize_sequence, args), **kwargs)  File "C:\Users\iarey\anaconda3\lib\site-packages\matplotlib\axes\_axes.py", line 6093, in pcolormesh    X, Y, C, shading = self._pcolorargs('pcolormesh', *args,  File "C:\Users\iarey\anaconda3\lib\site-packages\matplotlib\axes\_axes.py", line 5651, in _pcolorargs    X = _interp_grid(X)  File "C:\Users\iarey\anaconda3\lib\site-packages\matplotlib\axes\_axes.py", line 5633, in _interp_grid    if not (np.all(dX >= 0) or np.all(dX <= 0)):UFuncTypeError: Cannot cast ufunc 'greater_equal' input 0 from dtype('<m8[D]') to dtype('<m8') with casting rule 'same_kind'

Expected outcome
A pcolormesh timeseries plot with random data and a np.datetime64() x-axis.

Matplotlib version

  • Operating system: Windows 10
  • Matplotlib version: 3.3.2 via standard conda
  • Matplotlib backend: Qt5Agg
  • Python version: 3.8.5
  • Jupyter version (if applicable):
  • Other libraries: numpy-1.19.2

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