In R, there is a function locator
which is like Matlab\'s ginput
where you can click on the figure with a mouse and select any x,y coordinate. In a
You may want to use a pick event :
fig = figure()
ax1 = fig.add_subplot(111)
ax1.set_title('custom picker for line data')
line, = ax1.plot(rand(100), rand(100), 'o', picker=line_picker)
fig.canvas.mpl_connect('pick_event', onpick2)
Tolerance set by picker parameter there:
line, = ax1.plot(rand(100), 'o', picker=5) # 5 points tolerance
Wow many years have passed! Now matplotlib
also support the ginput
function which has almost the same API as Matlab. So there is no need to hack by the mpl-connect and so on any more! (https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.ginput.html) For instance,
plt.ginput(4)
will let the user to select 4 points.
from __future__ import print_function
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
from matplotlib.patches import Rectangle
from matplotlib.text import Text
from matplotlib.image import AxesImage
import numpy as np
from numpy.random import rand
if 1:
fig, ax = plt.subplots()
ax.set_title('click on points', picker=True)
ax.set_ylabel('ylabel', picker=True, bbox=dict(facecolor='red'))
line, = ax.plot(rand(100), 'o', picker=5)
def onpick1(event):
if isinstance(event.artist, Line2D):
thisline = event.artist
xdata = thisline.get_xdata()
ydata = thisline.get_ydata()
ind = event.ind
print 'X='+str(np.take(xdata, ind)[0]) # Print X point
print 'Y='+str(np.take(ydata, ind)[0]) # Print Y point
fig.canvas.mpl_connect('pick_event', onpick1)