To set local rcParams or rcParams for one figure in matplotlib, we can take the following steps −
Steps
Set the figure size and adjust the padding between and around the subplots.
Initialize a variable N to store the number of sample data.
Create x and y data points using numpy.
Return a context manager for temporarily changing rcParams.
Add a subplot to the current figure, at index 1.
Plot the x and y data points, using plot() method.
Add a subplot to the current figure, at index 2.
Plot the x and y data points, using plot() method.
To display the figure, use show() method.
Example
import pandas as pd
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.random.rand(N)
y = np.random.rand(N)
with plt.rc_context({"axes.grid": True, "grid.linewidth": 0.75, "lines.linestyle": 'dashed'}):
plt.subplot(121)
plt.plot(x, y)
plt.subplot(122)
plt.plot(x, y)
plt.show()Output
It will produce the following output −
