Hi! I have some code that is generating a pcolormesh plot, and “X” markers at specific coordinates. I would like to be able to click on a location on the plot and move the “X” marker and save the new/updated location. Below is my code so far (working environment: Windows 11, VS Code, .ipynb). It seems like there are a number of ways this could be done, and I am wondering if someone more well versed in the capabilities of matplotlib could suggest a good way to do this? Thanks!

```
import matplotlib.colors as colors
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import polars as pl
import os
# DEFINES
ECHOMAP_PIXELS = 1000
N = 734
def mouse_event(event):
print('x: {} and y: {}'.format(event.xdata, event.ydata))
def echomap_plot_rectangular(d0, d1, x0, x1, save_to, labels, save=False):
"""
Inputs:
d0:734 by 170 numpy array of data
d1:734 by 170 numpy array of data
x0: 170 length 1d numpy array
x1: 170 length 1d numpy array
save_to: path to save echomap plots to
labels: list of tuples of coordinates to label on the plot. x is radial, y is distance (0 to 50m).
"""
my_dpi = 96
r0 = np.linspace(0,50,N)
r1 = np.linspace(0,50,N)
fig, (ax0, ax1) = plt.subplots(nrows=1, ncols=2, figsize=(2*(ECHOMAP_PIXELS/my_dpi), ECHOMAP_PIXELS/my_dpi), dpi=my_dpi)
cid = fig.canvas.mpl_connect('button_press_event', mouse_event)
# PLOT
vm = int(np.maximum(np.max(d0), np.max(d1))) + 1
im = ax0.pcolormesh(x0, r0, d0, vmin=0, vmax=vm)
fig.colorbar(im, ax=ax0)
ax0.set_title('plot xyz')
plt.grid()
im1 = ax1.pcolormesh(x1, r1, d1, vmin=0, vmax=vm)
fig.colorbar(im1, ax=ax1)
ax1.set_title('plot abc')
plt.grid()
# Unzip the coordinates into separate lists for x and y
x_values, y_values = zip(*labels)
y0 = y_values
y1 = y_values
# Add target markers to the existing plots
ax0.scatter(x_values, y0, marker='x', color='black', s=250, linewidth=3)
ax1.scatter(x_values, y1, marker='x', color='black', s=250, linewidth=3)
fig.suptitle(f'Echomaps') # adjust spacing between subplots so `ax1` title and `ax0` tick labels don't overlap
plt.tight_layout()
if save:
if not os.path.exists(save_to):
os.makedirs(save_to)
fig.savefig(save_to + "xyz_echomaps.png")
print("saved")
print(save_to)
%matplotlib qt
d0_sample = np.random.rand(N, 170)
d1_sample = np.random.rand(N, 170)
x0_sample = np.linspace(0, 170, 170)
x1_sample = np.linspace(0, 170, 170)
labels_sample = [(45, 15), (140, 22), (85, 40)]
echomap_plot_rectangular(d0_sample, d1_sample, x0_sample, x1_sample, save_to=".", labels=labels_sample)
```