I'm creating a plot with a method similar to the following:
import pyplot as plt
for x_list in x_list_of_lists:
plt.plot(y_list, x_list)
plt.show()
The range of the x axis seems to get set to the range of the first list of x values that is passed to plt.plot(). Is there a way to have pyplot automatically set the lower limit of the x axis to the lowest value in all of the x_list variables passed to it (plus a bit of leeway), and to have it do the same for the upper limit, using the highest x value passed to plot (plus a bit of leeway)? Thank you.
Confusingly, your y_list
contains the values being plotted along the x-axis
. If you want matplotlib to use values from x_list
as x-coordinates
, then you should call
plt.plot(x_list, y_list)
Maybe this is the root of your problem.
By default matplotlib sets the x
and y
limits big enough to include all the data plotted.
So with this change, matplotlib will now be using x_list
as x-coordinates
, and will automatically set the limits of the x-axis
to be wide enough to display all the x-coordinates
specified in x_list_of_lists
.
However, if you wish to adjust the x
limits, you could use the plt.xlim function.
So, to set the lower limit of the x-axis
to the lowest value in all of the x_list
variables (and similarly for the upper limit), you'd do this:
xmin = min([min(x_list) for x_list in x_list_of_lists])-delta
xmax = max([max(x_list) for x_list in x_list_of_lists])+delta
plt.xlim(xmin, xmax)
Make sure you place this after all the calls to plt.plot
and (of course) before plt.show()
.
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