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How to plot a layered image in Matplotlib in Python?
To plot a layered image in Matplotlib in Python, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create dx, dy, x, y and extent data using numpy.
- Create a new figure or activate an existing figure using figure() method.
- Create data1 and data2 to display the data as an image, i.e., on a 2D regular raster.
- To display the figure, use show() method.
Example
import matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True dx, dy = 0.05, 0.05 x = np.arange(-3.0, 3.0, dx) y = np.arange(-3.0, 3.0, dy) extent = np.min(x), np.max(x), np.min(y), np.max(y) fig = plt.figure(frameon=False) data1 = np.random.rand(5, 5) plt.imshow(data1, cmap="plasma", interpolation='nearest', extent=extent) data2 = np.random.rand(5, 5) plt.imshow(data2, cmap="copper", alpha=.9, interpolation='bilinear', extent=extent) plt.show()
Output
Updated on: 10-Jun-2021
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