How do I solve an import issue with numpy in scikit.decomposition.PCA?

I was trying to use the scikit.decomposition.PCA package and I couldn't even import it.

import numpy as np
from sklearn.decomposition import PCA

I've upgraded both of np and scikit, but the error seems to be w/in scikit, what should I do?

*Note: Using Python 3.8.5 in an .ipynb file on VSCode.

This is the error that shows up:

AttributeError                            Traceback (most recent call last)
<ipython-input-1-32686ef89fa7> in <module>
      1 import numpy as np
----> 2 from sklearn.decomposition import PCA
      3 
      4 rng = np.random.RandomState(0)
      5 n_samples = 500

/opt/anaconda3/lib/python3.8/site-packages/sklearn/decomposition/__init__.py in <module>
     15 with warnings.catch_warnings():
     16     warnings.simplefilter("ignore", category=FutureWarning)
---> 17     from .dict_learning import dict_learning
     18 
     19 

/opt/anaconda3/lib/python3.8/site-packages/sklearn/decomposition/dict_learning.py in <module>
      3 import sys
      4 # mypy error: Module X has no attribute y (typically for C extensions)
----> 5 from . import _dict_learning  # type: ignore
      6 from ..externals._pep562 import Pep562
      7 from ..utils.deprecation import _raise_dep_warning_if_not_pytest

/opt/anaconda3/lib/python3.8/site-packages/sklearn/decomposition/_dict_learning.py in <module>
     19 from ..utils.extmath import randomized_svd, row_norms
...
--> 284         raise AttributeError("module {!r} has no attribute "
    285                              "{!r}".format(__name__, attr))
    286 

AttributeError: module 'numpy' has no attribute 'float'

I tried to import PCA by using

from scikit.decomposition import PCA

but I keep getting the error that module 'numpy' no attribute 'float'

Note the numpy import works just fine.

Solution

You probably have an incompatible version of numpy for sklearn. Try to downgrade numpy:

# Replace x by 0, 1, 2, 3, 4 or 5 (or use 'numpy<1.24.0')
[...]$ pip install 'numpy==1.23.x'