If you want more than one row and more than one column of subplots, you can also create them three different ways. This will become important when creating 3D plots.įigure window with two rows of three subplots and random numbers in the top middle subplot (after fig.tight_layout()) The only real difference between this version and the figure based one above is that this one will accept keyword arguments to be passed to the axes rather than to the figure. This is useful if you have an array of axes and you are planning to use all of them. It will return an array of axes handles (1D array if creating a single column or row, 2D array if there is more than one row and more than one column). The two main arguments for fig.subplots(nrows, ncols) will establish how many rows and columns you want to break the figure into.fig.subplots() needs you to create the figure handle first (probably with fig=plt.figure() and then you can use that figure variable to create an entire array of axes.You can also give the typical figure keyword arguments such as num=1, clear=True ![]() ![]() It will return a figure handle as well an array of axes handles (1D array if creating a single column or row, 2D array if there is more than one row and more than one column).
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