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%matplotlib inline

Log scales

Brokenaxe compute automatically the correct layout for a 1:1 scale. However, for logarithmic scales, the 1:1 scale has to be adapted. This is done via the yscale or xscale arguments.



In [ ]:

    
import matplotlib.pyplot as plt
from brokenaxes import brokenaxes
import numpy as np

fig = plt.figure(figsize=(5,5))
bax = brokenaxes(xlims=((1, 500), (600, 10000)),
	     ylims=((1, 500), (600, 10000)),
		 hspace=.15, xscale='log', yscale='log')

x = np.logspace(0.0, 4, 100)
bax.loglog(x, x, label='$y=x=10^{0}$ to $10^{4}$')

bax.legend(loc='best')
bax.grid(axis='both', which='major', ls='-')
bax.grid(axis='both', which='minor', ls='--', alpha=0.4)
bax.set_xlabel('x')
bax.set_ylabel('y')
plt.show()