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Using matplotlib, it seems the only time to set the sharex or sharey axis parameters are during sub_plot creation (add_subplot(), subplot(), subplots()). For an axes class there are methods for getting axis sharing (get_shared_x_axes(), get_shared_y_axes()), but no corresponding methods for setting sharing. Maybe this is an API oversight, or perhaps it did not fit architecturally.
Is there a way to change the shared axis parameter?
For those that ask why: I'm using a matrix of plots dynamically, and can control this using view limits, but it just seems like there could be an easier way, and turning sharing on/off and using autoscale would be it.
Thanks.
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Controls sharing of properties among x ( sharex ) or y ( sharey ) axes: True or 'all': x- or y-axis will be shared among all subplots. False or 'none': each subplot x- or y-axis will be independent.
Call matplotlib. pyplot. plot(x, y) with x and y set to arrays of data points to construct a plot. Calling this function multiple times on the same figure creates multiple plots in the same graph.
If sharex is set to False or none , each x-axis of a subplot will be independent. If it is set to row , each subplot row will share an x-axis. If it is set to col , each subplot column will share an x-axis. sharey.
Just to mention that a method for sharing axes after their creation does exist by now. For two axes ax1 and ax2 you can use
ax1.get_shared_x_axes().join(ax1, ax2) See How share x axis of two subplots after they are created?.
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