Store mouse click event coordinates with matplotlib
mpl_connect needs to be called just once to connect the event to event handler. It will start listening to click event until you disconnect. And you can use
fig.canvas.mpl_disconnect(cid)
to disconnect the event hook.
What you want to do is something like:
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(-10,10)
y = x**2
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x,y)
coords = []
def onclick(event):
global ix, iy
ix, iy = event.xdata, event.ydata
print 'x = %d, y = %d'%(
ix, iy)
global coords
coords.append((ix, iy))
if len(coords) == 2:
fig.canvas.mpl_disconnect(cid)
return coords
cid = fig.canvas.mpl_connect('button_press_event', onclick)
Thanks to otterb for providing the answer! I've added in a little function taken from here... Find nearest value in numpy array
In all this code will plot, wait for selection of x points and then return the indices of the x array needed for any integration, summations etc.
Ta,
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import trapz
def find_nearest(array,value):
idx = (np.abs(array-value)).argmin()
return array[idx]
# Simple mouse click function to store coordinates
def onclick(event):
global ix, iy
ix, iy = event.xdata, event.ydata
# print 'x = %d, y = %d'%(
# ix, iy)
# assign global variable to access outside of function
global coords
coords.append((ix, iy))
# Disconnect after 2 clicks
if len(coords) == 2:
fig.canvas.mpl_disconnect(cid)
plt.close(1)
return
x = np.arange(-10,10)
y = x**2
fig = plt.figure(1)
ax = fig.add_subplot(111)
ax.plot(x,y)
coords = []
# Call click func
cid = fig.canvas.mpl_connect('button_press_event', onclick)
plt.show(1)
# limits for integration
ch1 = np.where(x == (find_nearest(x, coords[0][0])))
ch2 = np.where(x == (find_nearest(x, coords[1][0])))
# Calculate integral
y_int = trapz(y[ch1[0][0]:ch2[0][0]], x = x[ch1[0][0]:ch2[0][0]])
print ''
print 'Integral between '+str(coords[0][0])+ ' & ' +str(coords[1][0])
print y_int