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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
702
To combine several matplotlib axes subplots into one figure, we can use subplots() method with nrow=2.
To change figure size of more subplots you can use plt. subplots(2,2,figsize=(10,10)) when creating subplots.
We can use the plt. subplots_adjust() method to change the space between Matplotlib subplots. The parameters wspace and hspace specify the space reserved between Matplotlib subplots. They are the fractions of axis width and height, respectively.
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(...) If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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