It prompts ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject

[archerbj]

from d2l import torch as d2l

Traceback (most recent call last):
  File "/xxx/pytorch/linear_regression/linear_regression.py", line 6, in <module>
    from d2l import torch as d2l
  File "/xxx/miniconda3/envs/d2l/lib/python3.9/site-packages/d2l/torch.py", line 32, in <module>
    import pandas as pd
  File "/xxx/miniconda3/envs/d2l/lib/python3.9/site-packages/pandas/__init__.py", line 29, in <module>
    from pandas._libs import hashtable as _hashtable, lib as _lib, tslib as _tslib
  File "/xxx/miniconda3/envs/d2l/lib/python3.9/site-packages/pandas/_libs/__init__.py", line 13, in <module>
    from pandas._libs.interval import Interval
  File "pandas/_libs/interval.pyx", line 1, in init pandas._libs.interval
ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject
(d2l) 

Neither the master branch nor 2.0.0 release can fix this issue

and d2l==1.0.0b0 prompts

ERROR: Could not find a version that satisfies the requirement gym==0.21.0 (from d2l) (from versions: none)
ERROR: No matching distribution found for gym==0.21.0

Versions: python: 3.9.16 d2l: 0.17.6

[miandui-WuBo]

I also meet this problem,and i find the solution.you can have a look at issue 2183,the solution is update d2l by using : pip install d2l==1.0.0-alpha0