Asked By – synaptik
matplotlib to plot data (using
errorbar functions) from Python. I have to plot a set of totally separate and independent plots, and then adjust their
ylim values so they can be easily visually compared.
How can I retrieve the
ylim values from each plot, so that I can take the min and max of the lower and upper ylim values, respectively, and adjust the plots so they can be visually compared?
Of course, I could just analyze the data and come up with my own custom
ylim values… but I’d like to use
matplotlib to do that for me. Any suggestions on how to easily (and efficiently) do this?
Here’s my Python function that plots using
import matplotlib.pyplot as plt def myplotfunction(title, values, errors, plot_file_name): # plot errorbars indices = range(0, len(values)) fig = plt.figure() plt.errorbar(tuple(indices), tuple(values), tuple(errors), marker='.') # axes axes = plt.gca() axes.set_xlim([-0.5, len(values) - 0.5]) axes.set_xlabel('My x-axis title') axes.set_ylabel('My y-axis title') # title plt.title(title) # save as file plt.savefig(plot_file_name) # close figure plt.close(fig)
Now we will see solution for issue: matplotlib get ylim values
axes.get_ylim(), it is very similar to
set_ylim. From the docs:
Get the y-axis range [bottom, top]
This question is answered By – elyase
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