To show a figure that has been closed in Matplotlib, we can create a new Canvas Manager and store the previous figure into a new Canvas figure.
Steps
- Set the figure size and adjust the padding between and around the subplots.
- Create a new figure or activate an existing figure.
- Create x and y data points using numpy.
- Plot x and y data points using plot() method.
- Close the current figure where the plot has been plotted.
- Now, store the previous figure in a new Canvas figure.
- Set the Canvas that contains the figure.
- 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 fig = plt.figure() x = np.linspace(-10, 10, 100) y = np.sin(x) plt.plot(x, y) plt.close(fig) new_fig = plt.figure() new_manager = new_fig.canvas.manager new_manager.canvas.figure = fig fig.set_canvas(new_manager.canvas) plt.show()