"""

===========

Multicursor

===========

Showing a cursor on multiple plots simultaneously.

This example generates three axes split over two different figures. On

hovering the cursor over data in one subplot, the values of that datapoint are

shown in all axes.

"""

import numpy as np

import matplotlib.pyplot as plt

from matplotlib.widgets import MultiCursor

t = np.arange(0.0, 2.0, 0.01)

s1 = np.sin(2*np.pi*t)

s2 = np.sin(3*np.pi*t)

s3 = np.sin(4*np.pi*t)

fig, (ax1, ax2) = plt.subplots(2, sharex=True)

ax1.plot(t, s1)

ax2.plot(t, s2)

fig, ax3 = plt.subplots()

ax3.plot(t, s3)

multi = MultiCursor(None, (ax1, ax2, ax3), color='r', lw=1)

plt.show()

#############################################################################

#

# .. admonition:: References

#

# The use of the following functions, methods, classes and modules is shown

# in this example:

#

# - `matplotlib.widgets.MultiCursor`