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Different X and Y scales in zoomed inset in Matplotlib
To show different X and Y scales in zoomed inset in Matplotlib, we can use inset_axes() method.
Steps
- Set the figure size and adjust the padding between and around the subplots.
- Create x and y data points using numpy.
- Add a subplot to the current figure.
- Plot x and y data points using plot() method.
- Create an inset axes with a given width and height.
- Set different x and y scales.
- Draw a box to mark the location of an area represented by an inset axes.
- To display the figure, use show() method.
Example
import matplotlib.pyplot as plt import numpy as np from mpl_toolkits.axes_grid1.inset_locator import mark_inset, inset_axes plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(0, 1, 100) y = x ** 2 ax = plt.subplot(1, 1, 1) ax.plot(x, y) axins = inset_axes(ax, 1, 1, loc=2, bbox_to_anchor=(0.2, 0.55), bbox_transform=ax.figure.transFigure) axins.plot(x, y) x1, x2 = .4, .6 y1, y2 = x1 ** 2, x2 ** 2 axins.set_xlim(x1, x2) axins.set_ylim(y1, y2) mark_inset(ax, axins, loc1=1, loc2=3, fc="none", ec="0.5") plt.show()
Output
Updated on: 17-Jun-2021
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