Search results
fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2) for a 2 x 2 array. 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.
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. For more advanced use cases you can use GridSpec for a more general subplot layout or Figure.add_subplot for adding subplots at arbitrary locations within the figure.
21 maj 2016 · import numpy as np. import matplotlib.pylab as pl. import matplotlib.gridspec as gridspec. # Create 2x2 sub plots. gs = gridspec.GridSpec(2, 2) pl.figure() ax = pl.subplot(gs[0, 0]) # row 0, col 0. pl.plot([0,1]) ax = pl.subplot(gs[0, 1]) # row 0, col 1.
# 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)
The subplot() function takes three arguments that describes the layout of the figure. The layout is organized in rows and columns, which are represented by the first and second argument. The third argument represents the index of the current plot. plt.subplot (1, 2, 1) #the figure has 1 row, 2 columns, and this plot is the first plot.
Simple demo with multiple subplots. For more options, see Creating multiple subplots using plt.subplots . import matplotlib.pyplot as plt import numpy as np # Create some fake data. x1 = np . linspace ( 0.0 , 5.0 ) y1 = np . cos ( 2 * np . pi * x1 ) * np . exp ( - x1 ) x2 = np . linspace ( 0.0 , 2.0 ) y2 = np . cos ( 2 * np . pi * x2 )
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.
