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value_counts: TypeError: bins argument only works with numeric data. #54857

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@anmyachev

Description

@anmyachev

Reproducer:

import pandas as pd
import numpy as np

values = np.array([3, 1, 2, 3, 4, np.nan])
pd.value_counts(values, bins=3)  # <- TypeError: bins argument only works with numeric data.
pd.Series(values).value_counts(bins=3)  # <- TypeError: bins argument only works with numeric data.

numpy 1.25.2
pandas 2.1.0rc0

>>> pd.Series(values).value_counts(bins=3)
Traceback (most recent call last):
  File "Miniconda3\envs\modin\lib\site-packages\pandas\core\algorithms.py", line 882, in value_counts_internal
    ii = cut(values, bins, include_lowest=True)
  File "Miniconda3\envs\modin\lib\site-packages\pandas\core\reshape\tile.py", line 258, in cut
    rng = (nanops.nanmin(x), nanops.nanmax(x))
  File "Miniconda3\envs\modin\lib\site-packages\pandas\core\nanops.py", line 147, in f
    result = alt(values, axis=axis, skipna=skipna, **kwds)
  File "Miniconda3\envs\modin\lib\site-packages\pandas\core\nanops.py", line 404, in new_func
    result = func(values, axis=axis, skipna=skipna, mask=mask, **kwargs)
  File "Miniconda3\envs\modin\lib\site-packages\pandas\core\nanops.py", line 1089, in reduction
    values, mask = _get_values(
  File "Miniconda3\envs\modin\lib\site-packages\pandas\core\nanops.py", line 316, in _get_values
    np.putmask(values, mask, fill_value)
TypeError: putmask: first argument must be an array

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "Miniconda3\envs\modin\lib\site-packages\pandas\core\base.py", line 1010, in value_counts
    return algorithms.value_counts_internal(
  File "Miniconda3\envs\modin\lib\site-packages\pandas\core\algorithms.py", line 884, in value_counts_internal
    raise TypeError("bins argument only works with numeric data.") from err
TypeError: bins argument only works with numeric data.

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    AlgosNon-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diffRegressionFunctionality that used to work in a prior pandas version

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