ENH: np.histogram2d() does not support argument 'auto' for `bins`.

Describe the issue:

• np.historgram2d() does not support argument 'auto' bin selection
• and it is not clear from the description what does it use as default
• while this does work:

x_edges = np.histogram_bin_edges(x, bins='auto')
y_edges = np.histogram_bin_edges(y, bins='auto')
np.histogram2d(x, y, bins=[x_edges, y_edges])

Reproduce the code example:

import numpy as np

np.histogram2d(x, y, bins=['auto','auto'])
or 
np.histogram2d(x, y, bins='auto')

Error message:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-22-f1386dd21766> in <module>()
----> 1 np.histogram2d(x, y, bins=['auto','auto'])
      2 
      3 # np.histogram_bin_edges(x, bins='auto')

<__array_function__ internals> in histogram2d(*args, **kwargs)

1 frames
<__array_function__ internals> in histogramdd(*args, **kwargs)

/usr/local/lib/python3.7/dist-packages/numpy/lib/histograms.py in histogramdd(sample, bins, range, normed, weights, density)
   1045     for i in _range(D):
   1046         if np.ndim(bins[i]) == 0:
-> 1047             if bins[i] < 1:
   1048                 raise ValueError(
   1049                     '`bins[{}]` must be positive, when an integer'.format(i))

TypeError: '<' not supported between instances of 'str' and 'int'

NumPy/Python version information:

1.21.3 3.7.12 (default, Sep 10 2021, 00:21:48)
[GCC 7.5.0]

Start with the np.histogram2d entry point and its histogramdd implementation, then compare how histogram_bin_edges handles the 'auto' option. Reproduce the reported TypeError with bins='auto' and ['auto','auto']; done means both forms work and the default bin behavior is clear from the description.