Pandas BUG: histogram weights aren't dropped if NaN values in data

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Reproducible Example

>>> import numpy as np
>>> from pandas import DataFrame
>>> df = DataFrame(np.random.randn(100), columns=["a"])
>>> weights = np.ones(100)
>>> df.loc[0, "a"] = np.nan
>>> df.plot.hist() # works fine
>>> df.plot.hist(weights=weights) # fails

Issue Description

If a DataFrame contains NaN values, these are dropped to plot a histogram. However, if weights are provided, then the corresponding weights aren't dropped, so weights ends up longer than the plotted data:

Traceback (most recent call last):
  File "/Users/adam/Programming/multinesttest/pandas_issue.py", line 10, in <module>
    df.plot.hist(weights=weights) # fails
  File "/Users/adam/Programming/env_sep30/lib/python3.10/site-packages/pandas/plotting/_core.py", line 1375, in hist
    return self(kind="hist", by=by, bins=bins, **kwargs)
  File "/Users/adam/Programming/env_sep30/lib/python3.10/site-packages/pandas/plotting/_core.py", line 1001, in __call__
    return plot_backend.plot(data, kind=kind, **kwargs)
  File "/Users/adam/Programming/env_sep30/lib/python3.10/site-packages/pandas/plotting/_matplotlib/__init__.py", line 71, in plot
    plot_obj.generate()
  File "/Users/adam/Programming/env_sep30/lib/python3.10/site-packages/pandas/plotting/_matplotlib/core.py", line 453, in generate
    self._make_plot()
  File "/Users/adam/Programming/env_sep30/lib/python3.10/site-packages/pandas/plotting/_matplotlib/hist.py", line 154, in _make_plot
    artists = self._plot(ax, y, column_num=i, stacking_id=stacking_id, **kwds)
  File "/Users/adam/Programming/env_sep30/lib/python3.10/site-packages/pandas/plotting/_matplotlib/hist.py", line 108, in _plot
    n, bins, patches = ax.hist(y, bins=bins, bottom=bottom, **kwds)
  File "/Users/adam/Programming/env_sep30/lib/python3.10/site-packages/matplotlib/__init__.py", line 1423, in inner
    return func(ax, *map(sanitize_sequence, args), **kwargs)
  File "/Users/adam/Programming/env_sep30/lib/python3.10/site-packages/matplotlib/axes/_axes.py", line 6652, in hist
    raise ValueError('weights should have the same shape as x')
ValueError: weights should have the same shape as x

Expected Behavior

The weights corresponding to the NaN data should be dropped before plotting the histogram.

I believe the problem lies here:

https://github.com/pandas-dev/pandas/blob/71c94c35add4fee5752cedf742ce443637585fe2/pandas/plotting/_matplotlib/hist.py#L147-L156

I think the order should be: weights is popped, drop the weights corresponding to the NaN values of y, before y = reformat_hist_y_given_by(y, self.by).

Installed Versions

Replace this line with the output of pd.show_versions()

INSTALLED VERSIONS

commit : 87cfe4e38bafe7300a6003a1d18bd80f3f77c763 python : 3.10.6.final.0 python-bits : 64 OS : Darwin OS-release : 21.6.0 Version : Darwin Kernel Version 21.6.0: Mon Aug 22 20:19:52 PDT 2022; root:xnu-8020.140.49~2/RELEASE_ARM64_T6000 machine : arm64 processor : arm byteorder : little LC_ALL : None LANG : en_GB.UTF-8 LOCALE : en_GB.UTF-8

pandas : 1.5.0 numpy : 1.23.3 pytz : 2022.2.1 dateutil : 2.8.2 setuptools : 63.4.3 pip : 22.2.2 Cython : None pytest : 7.1.3 hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : None IPython : None pandas_datareader: None bs4 : None bottleneck : None brotli : None fastparquet : None fsspec : None gcsfs : None matplotlib : 3.6.0 numba : None numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : None pyreadstat : None pyxlsb : None s3fs : None scipy : 1.9.1 snappy : None sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None zstandard : None tzdata : None