How do I convert (or scale) axis values and redefine the tick frequency in Matplotlib?

To convert or scale the axis values and redefine the tick frequency in matplotlib, we can make a list of xticks and xtick_labels using xticks() method. Place the axis scale and redefine the tick frequency.

Steps

• Set the figure size and adjust the padding between and around the subplots.

• Initialize a variable, n, for the number of data points.

• Create x and y data points using numpy.

• Plot x and y data points using plot() method.

• Make lists of ticks and tick labels.

• Use xticks() method to place axis scale and redefine tick frequency.

• To display the figure, use show() method.

Example

import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True n = 10 x = np.linspace(-2, 2, n) y = np.exp(x) plt.plot(x, y) xticks = [i for i in range(int(n/2))] xtick_labels = ["x"+str(i) for i in range(int(n/2))] plt.xticks(xticks, xtick_labels) plt.show()

Output