![]() ![]() Notice how each axes is actually an instance of a different class. This can be achieved with nested gridspecs, but having a virtual figure with its own artists is helpful, so Matplotlib also has 'subfigures', accessed by calling in a way that is analogous to, or to make an array of subfigures. For example import matplotlib.pyplot as pltĪx2 = plt.subplot(312, projection='polar')Īx3 = plt.subplot(313, projection=ccrs.PlateCarree()) Regarding the actual question, specifying a projection when you create an axes set determines the axes class you get, which is different for each projection type. For example, if you wanted all your subplots to have the projection you could do import matplotlib.pyplot as pltįig, (ax1, ax2) = plt.subplots(ncols=2, subplot_kw=) ![]() However the solution to your underlying problem is simply to use the subplot_kw argument to plt.subplots() described in the matplotlib documentation here. A) If youre opting for a simple subplot geometry add new subplot axnew fig.addsubplot(2, 1, 2) ot(x, y) update and redraw existing axis ax. You can't change the projection of an existing axes, the reason is given below. All examples assume an existing figure fig and with existing axis ax. Reading matplotlib API didn't help unfortunately. ![]() Of course, I can just use fig.add_subplot() function: fig = plt.figure(figsize=(10,5))Īx2 = fig.add_subplot(122,projection=ccrs.PlateCarree())īut I was wondering if there is a proper matplotlib method to change a subplot axis projection after it was defined. # set ax projection to the specified projection A figure can have many axes objects, typically called subplots. The idea looks something like this import cartopy.crs as ccrsĭef make_ax_map(ax, projection=ccrs.PlateCarree()): The pylab and pyplot interfaces will create the figures for us. The difference between these two functions is that the first is for adding a title for a single plot while the latter is for adding titles for subplots. With the use of matplotlib library, we can generate multiple sub-plots in the same graph or figure. I'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 projections. ![]()
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