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Add ability to pass different kwargs when adding different subplots simultaneously throughplt.subplots #20392

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@phinate

Description

@phinate

Problem

I was just messing aroung with trying to see if I could use the (super nice!) plt.subplot_mosaic function with a mixture of 2d and 3d axes, but didn't get anywhere. Looking into it, it seems like it could be possible with subplot_kw = {"projection": "3d"}, but this is static across the different subplots (or more accurately, calls to plt.add_subplot).

Proposed Solution

From looking at the source code (specifically at these line in gridspec.py, since that's where I believe the function calls eventually end up) it seems like it may be possible to package subplot_kws in an object of size _nrows x _ncols, since that is the dimensions iterated over.

# Create array to hold all axes.
axarr = np.empty((self._nrows, self._ncols), dtype=object)
for row in range(self._nrows):
for col in range(self._ncols):
shared_with = {"none": None, "all": axarr[0, 0],
"row": axarr[row, 0], "col": axarr[0, col]}
subplot_kw["sharex"] = shared_with[sharex]
subplot_kw["sharey"] = shared_with[sharey]
axarr[row, col] = figure.add_subplot(
self[row, col], **subplot_kw)

The only part that's unclear to me from an implementation standpoint is whether this would necessitate a new kwarg itself, or perhaps one can use single dispatch or conditional logic to handle the case where subplot_kw is not dict-like.

Happy to have a go if this is desired and/or the functionality exists already and I'm blindsighted to it :)

Additional context and prior art

Could be many scenarios where one would want to control each subplot! I think it would be super neat to be able to do all this from one call to plt.subplots :D

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