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This is most useful for two subplots (e.g.: fig, (ax1, ax2) = plt.subplots(1, 2) or fig, (ax1, ax2) = plt.subplots(2, 1)). For more subplots, it's more efficient to flatten and iterate through the array of axes.
Creating multiple subplots using plt.subplots # pyplot.subplots creates a figure and a grid of subplots with a single call, while providing reasonable control over how the individual plots are created.
7 wrz 2012 · Instead of counting your own number of rows and columns, I found it easier to create the subplots using plt.subplots first, then iterate through the axes object to add plots.
22 lip 2020 · Subplots mean groups of axes that can exist in a single matplotlib figure. subplots() function in the matplotlib library, helps in creating multiple layouts of subplots. It provides control over all the individual plots that are created.
subplots() is the recommended method to generate simple subplot arrangements: fig , ( ax1 , ax2 ) = plt . subplots ( 2 , 1 ) fig . suptitle ( 'A tale of 2 subplots' ) ax1 . plot ( x1 , y1 , 'o-' ) ax1 . set_ylabel ( 'Damped oscillation' ) ax2 . plot ( x2 , y2 , '.-' ) ax2 . set_xlabel ( 'time (s)' ) ax2 . set_ylabel ( 'Undamped' ) plt . show ()
Display Multiple Plots. With the subplot() function you can draw multiple plots in one figure:
# using the variable ax for single a Axes fig, ax = plt. subplots # using the variable axs for multiple Axes fig, axs = plt. subplots (2, 2) # using tuple unpacking for multiple Axes fig, (ax1, ax2) = plt. subplots (1, 2) fig, ((ax1, ax2), (ax3, ax4)) = plt. subplots (2, 2)
