Store mouse click event coordinates with matplotlib
Question:
I am trying to implement a simple mouse click event in matplotlib. I wish to plot a figure then use the mouse to select the lower and upper limits for integration.
So far I am able to print the coordinates to screen but not store them for later use in the program. I would also like to exit the connection to the figure after the second mouse click.
Below is the code which currently plots and then prints the coordinates.
My Question(s):
How can I store coordinates from the figure to list? i.e. click = [xpos, ypos]
Is it possible to get two sets of x coordinates in order to do a simple integration over that section of line?
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)
def onclick(event):
global ix, iy
ix, iy = event.xdata, event.ydata
print 'x = %d, y = %d'%(
ix, iy)
global coords
coords = [ix, iy]
return coords
for i in xrange(0,1):
cid = fig.canvas.mpl_connect('button_press_event', onclick)
plt.show()
Answers:
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
I want to provide a different answer here since I recently tried to do event handling but the soulutions here do not distinguish between zooming, paning and clicking, everything gets messed up in my case. I found an extention for matplotlib called mpl_point_clicker that works really well for me and can be installed with pip (with python 3.X). Here is the basic usage from their documentation:
import numpy as np
import matplotlib.pyplot as plt
from mpl_point_clicker import clicker
fig, ax = plt.subplots(constrained_layout=True)
ax.plot(np.sin(np.arange(200)/(5*np.pi)))
klicker = clicker(ax, ["event"], markers=["x"])
plt.show()
print(klicker.get_positions())
The figure with 3 clicks and the output look like this
Output:
{'event': array([[ 24.22415481, 1.00237796],
[ 74.19892948, -0.99140661],
[123.23078387, 1.00237796]])}
I am trying to implement a simple mouse click event in matplotlib. I wish to plot a figure then use the mouse to select the lower and upper limits for integration.
So far I am able to print the coordinates to screen but not store them for later use in the program. I would also like to exit the connection to the figure after the second mouse click.
Below is the code which currently plots and then prints the coordinates.
My Question(s):
How can I store coordinates from the figure to list? i.e. click = [xpos, ypos]
Is it possible to get two sets of x coordinates in order to do a simple integration over that section of line?
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)
def onclick(event):
global ix, iy
ix, iy = event.xdata, event.ydata
print 'x = %d, y = %d'%(
ix, iy)
global coords
coords = [ix, iy]
return coords
for i in xrange(0,1):
cid = fig.canvas.mpl_connect('button_press_event', onclick)
plt.show()
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
I want to provide a different answer here since I recently tried to do event handling but the soulutions here do not distinguish between zooming, paning and clicking, everything gets messed up in my case. I found an extention for matplotlib called mpl_point_clicker that works really well for me and can be installed with pip (with python 3.X). Here is the basic usage from their documentation:
import numpy as np
import matplotlib.pyplot as plt
from mpl_point_clicker import clicker
fig, ax = plt.subplots(constrained_layout=True)
ax.plot(np.sin(np.arange(200)/(5*np.pi)))
klicker = clicker(ax, ["event"], markers=["x"])
plt.show()
print(klicker.get_positions())
The figure with 3 clicks and the output look like this
Output:
{'event': array([[ 24.22415481, 1.00237796],
[ 74.19892948, -0.99140661],
[123.23078387, 1.00237796]])}