Reputation: 3490
I have plots of 3-axis accelerometer time-series data (t,x,y,z) in separate subplots I'd like to zoom together. That is, when I use the "Zoom to Rectangle" tool on one plot, when I release the mouse all 3 plots zoom together.
Previously, I simply plotted all 3 axes on a single plot using different colors. But this is useful only with small amounts of data: I have over 2 million data points, so the last axis plotted obscures the other two. Hence the need for separate subplots.
I know I can capture matplotlib/pyplot mouse events (http://matplotlib.sourceforge.net/users/event_handling.html), and I know I can catch other events (http://matplotlib.sourceforge.net/api/backend_bases_api.html#matplotlib.backend_bases.ResizeEvent), but I don't know how to tell what zoom has been requested on any one subplot, and how to replicate it on the other two subplots.
I suspect I have the all the pieces, and need only that one last precious clue...
-BobC
Upvotes: 102
Views: 78367
Reputation: 721
I call the following function after making plots to get them linked together. It will get all subplots from the current figure, and link their x axes.
import matplotlib.pyplot as plt
def linkx():
# Get current figure
axes = plt.gcf().axes
parent = axes[0]
# Loop over other axes and link to first axes
for i in range(1,len(axes)):
axes[i].sharex(parent)
Upvotes: -1
Reputation: 3775
You can also do this with plt.subplots
, if that's your style.
fig, ax = plt.subplots(3, 1, sharex=True, sharey=True)
Upvotes: 78
Reputation: 526
Interactively this works on separate axes
for ax in fig.axes:
ax.set_xlim(0, 50)
fig.draw()
Upvotes: -2
Reputation: 4671
The easiest way to do this is by using the sharex
and/or sharey
keywords when creating the axes:
from matplotlib import pyplot as plt
ax1 = plt.subplot(2,1,1)
ax1.plot(...)
ax2 = plt.subplot(2,1,2, sharex=ax1)
ax2.plot(...)
Upvotes: 158