How to set different opacity of edgecolor and facecolor of a patch in Matplotlib?

Matplotlib Python Data Visualization

To set different opacity of edge and face color, we can use a color tuple and the 4th index of the tuple could set the opacity value of the colors.

Steps

Set the figure size and adjust the padding between and around the subplots.
Create a figure and a set of subplots using subplots() method.
Set different values for edge and face color opacity.
Add a rectangel patch using add_patch() method.
To display the figure, use show() method.

Example

from matplotlib import pyplot as plt, patches

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

figure, ax = plt.subplots()
edge_color_opacity = 1 # 0<val<1
face_color_opacity = 0.75 # 0<val<1

ax.add_patch(patches.Rectangle((.25, .25), .50, .50,
                              edgecolor=(1, 0, 0, edge_color_opacity),
                              facecolor=(0, 1, 0, face_color_opacity),
                              linewidth=2))

plt.show()

Output

Rishikesh Kumar Rishi

Published on 09-Jun-2021 12:13:25

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