I'm using matplotlib
to plot data (using plot
and 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 matplotlib
:
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)
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