BUG: ufunc 'isfinite' not supported for datetime64 data on version 1.24.0 #22842
Description
Describe the issue:
Starting from numpy==1.24.0 matplotlib can't process input data of type datetime64 anymore.
Reproduce the code example:
import pandas as pd
import matplotlib.pyplot as plt
d = pd.DataFrame({'x0': 1, 'x1': 3}, index=pd.date_range(start='2020-01-01', periods=10))
ax = plt.subplot(1, 1, 1)
ax.fill_between(d.index, d['x0'], d['x1']) # raisesError message:
Traceback (most recent call last)
Cell In[5], line 1
----> 1 ax.fill_between(d.index, d['x0'], d['x1'])
File ~/Documents/repos/tfcausalimpact/.env310/lib/python3.10/site-packages/matplotlib/__init__.py:1423, in _preprocess_data.<locals>.inner(ax, data, *args, **kwargs)
1420 @functools.wraps(func)
1421 def inner(ax, *args, data=None, **kwargs):
1422 if data is None:
-> 1423 return func(ax, *map(sanitize_sequence, args), **kwargs)
1425 bound = new_sig.bind(ax, *args, **kwargs)
1426 auto_label = (bound.arguments.get(label_namer)
1427 or bound.kwargs.get(label_namer))
File ~/Documents/repos/tfcausalimpact/.env310/lib/python3.10/site-packages/matplotlib/axes/_axes.py:5367, in Axes.fill_between(self, x, y1, y2, where, interpolate, step, **kwargs)
5365 def fill_between(self, x, y1, y2=0, where=None, interpolate=False,
5366 step=None, **kwargs):
-> 5367 return self._fill_between_x_or_y(
5368 "x", x, y1, y2,
5369 where=where, interpolate=interpolate, step=step, **kwargs)
File ~/Documents/repos/tfcausalimpact/.env310/lib/python3.10/site-packages/matplotlib/axes/_axes.py:5272, in Axes._fill_between_x_or_y(self, ind_dir, ind, dep1, dep2, where, interpolate, step, **kwargs)
5268 kwargs["facecolor"] = \
5269 self._get_patches_for_fill.get_next_color()
5271 # Handle united data, such as dates
-> 5272 ind, dep1, dep2 = map(
5273 ma.masked_invalid, self._process_unit_info(
5274 [(ind_dir, ind), (dep_dir, dep1), (dep_dir, dep2)], kwargs))
5276 for name, array in [
5277 (ind_dir, ind), (f"{dep_dir}1", dep1), (f"{dep_dir}2", dep2)]:
5278 if array.ndim > 1:
File ~/Documents/repos/tfcausalimpact/.env310/lib/python3.10/site-packages/numpy/ma/core.py:2360, in masked_invalid(a, copy)
2332 def masked_invalid(a, copy=True):
2333 """
2334 Mask an array where invalid values occur (NaNs or infs).
2335
(...)
2357
2358 """
-> 2360 return masked_where(~(np.isfinite(getdata(a))), a, copy=copy)
TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''NumPy/Python version information:
1.24.0 3.10.9 (main, Dec 7 2022, 01:12:00) [GCC 9.4.0]
Context for the issue:
All plotting functionality from our packages that rely on dated index data stopped working. The solution for now was to drop numpy version to 1.23.4, not sure if there's some workaround but for what we researched nothing seemed to fix it so far.