Problem When we add a few subplots to a figure, the detail may not

Similarly, you could change the position of clicked axes <div class="highlight hig

[ENH]: Add click to enlarge subplots in a figure about matplotlib HOT 2 OPEN

Coderx7 commented on July 28, 2024

[ENH]: Add click to enlarge subplots in a figure

from matplotlib.

Comments (2)

jklymak commented on July 28, 2024 1

This seems useful, but hard to generalize. I am skeptical that it would be made default part of Matplotlib proper. We have a pretty straightforward GUI event handler that would be just a few lines of code to make something like this work:

import matplotlib.pyplot as plt
import numpy as np

def on_click(event):
    for i, ax in enumerate(axs.flat):
        if event.inaxes == ax:
            fig, new_ax = plt.subplots()
            new_ax.imshow(images[i], cmap='gray')
            new_ax.set_title(f'Image {i+1}')
            new_ax.axis('off')
            fig.show()

def create_random_image():
    return np.random.rand(100, 100)

# Generate four random images
images = [create_random_image() for _ in range(4)]

# Create a main figure to display the images
main_fig, axs = plt.subplots(2, 2, layout='compressed')

for i, ax in enumerate(axs.flat):
    ax.imshow(images[i], cmap='gray')
    ax.set_title(f'Image {i+1}')
    ax.axis('off')

# Connect the click event
main_fig.canvas.mpl_connect('button_press_event', on_click)

plt.show()

from matplotlib.

tacaswell commented on July 28, 2024 1

Similarly, you could change the position of clicked axes

import matplotlib.pyplot as plt
import numpy as np

cache = {}

def on_click(event):
    ax = event.inaxes
    if ax is None:
        return
    if ax not in cache:
        cache[ax] = ax.get_subplotspec()
        ax.set_position([0, 0, 1, 1])
        ax.set_zorder(5)
    else:
        sp = cache.pop(ax)
        ax.set_subplotspec(sp)
        ax.set_zorder(1)        
        ax.set_in_layout(True)
    print(ax.get_subplotspec())
    ax.figure.canvas.draw_idle()
    
def create_random_image():
    return np.random.rand(100, 100)

# Generate four random images
images = [create_random_image() for _ in range(4)]

# Create a main figure to display the images
main_fig, axs = plt.subplots(2, 2, layout='compressed')

for i, ax in enumerate(axs.flat):
    ax.imshow(images[i], cmap='gray')
    ax.set_title(f'Image {i+1}')
    ax.axis('off')

# Connect the click event
main_fig.canvas.mpl_connect('button_press_event', on_click)

plt.show()