I&#39;m trying to construct a simple function that takes a subplot instance (`matplotlib.axes._subplots.AxesSubplot`) and transforms its projection to another projection, for example, to one of the `cartopy.crs.CRS` projections.

The idea looks something like this

    import cartopy.crs as ccrs
    import matplotlib.pyplot as plt

    def make_ax_map(ax, projection=ccrs.PlateCarree()):
        # set ax projection to the specified projection
        ...
        # other fancy formatting
        ax2.coastlines()
        ...
    
    # Create a grid of plots
    fig, (ax1, ax2) = plt.subplots(ncols=2)
    # the first subplot remains unchanged
    ax1.plot(np.random.rand(10))
    # the second one gets another projection
    make_ax_map(ax2)
    
Of course, I can just use `fig.add_subplot()` function:

    fig = plt.figure(figsize=(10,5))
    ax1 = fig.add_subplot(121)
    ax1.plot(np.random.rand(10))

    ax2 = fig.add_subplot(122,projection=ccrs.PlateCarree())
    ax2.coastlines()

but I was wondering if there is a proper `matplotlib` method to change a subplot axis projection *after* it was defined. Reading matplotlib API didn&#39;t help unfortunately.

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How do I change matplotlib's subplot projection of an existing axis?