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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.
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.
Draw 2 plots on top of each other: import matplotlib.pyplot as plt. import numpy as np. #plot 1: x = np.array ( [0, 1, 2, 3]) y = np.array ( [3, 8, 1, 10]) plt.subplot (2, 1, 1) plt.plot (x,y) #plot 2:
You can use plt.subplots_adjust to change the spacing between the subplots. call signature: subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=None, hspace=None) The parameter meanings (and suggested defaults) are: left = 0.125 # the left side of the subplots of the figure.
plt.subplots is a function in Matplotlib that allows you to create a figure and a set of subplots in a single call. The figsize parameter, on the other hand, is used to specify the size of the figure. Together, these two elements give you precise control over the layout and dimensions of your plots.
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 ()
