Drawing multiple figures in parallel in Python with Matplotlib

Python Matplotlib Server Side Programming Programming

To draw multiple figures in parallel in Python with matplolib, we can take the following steps−

Create random data using numpy.
Add a subplot to the current figure, nrows=1, ncols=4 and at index=1.
Display data as an image, i.e., on a 2D regular raster, using imshow() method with cmap="Blues_r".
Add a subplot to the current figure, nrows=1, ncols=4 and at index=2.
Display data as an image, i.e., on a 2D regular raster, using imshow() method with cmap="Accent_r".
Add a subplot to the current figure, nrows=1, ncols=4 and at index=3.
Display data as an image, i.e., on a 2D regular raster, using imshow() method with cmap="terrain_r"
Add a subplot to the current figure, nrows=1, ncols=4 and at index=4.
Display data as an image, i.e., on a 2D regular raster, using imshow() method with cmap="twilight_shifted_r".
To display the figure, use show() method.

Example

import numpy as np
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True
data = np.random.rand(5, 5)
plt.subplot(1, 4, 1)
plt.imshow(data, cmap="Blues_r")
plt.subplot(1, 4, 2)
plt.imshow(data, cmap="Accent_r")
plt.subplot(1, 4, 3)
plt.imshow(data, cmap="terrain_r")
plt.subplot(1, 4, 4)
plt.imshow(data, cmap="twilight_shifted_r")
plt.show()

Output

Rishikesh Kumar Rishi

Published on 07-May-2021 07:51:10

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