pyplot: loglog() with base e

Question

Python (and matplotlib) newbie here coming over from R, so I hope this question is not too idiotic. I\'m trying to make a loglog plot on a natural log scale. But after some

Answer 1

When plotting using plt.loglog you can pass the keyword arguments basex and basey as shown below.

From numpy you can get the e constant with numpy.e (or np.e if you import numpy as np)

import numpy as np
import matplotlib.pyplot as plt

# Generate some data.
x = np.linspace(0, 2, 1000)
y = x**np.e

plt.loglog(x,y, basex=np.e, basey=np.e)
plt.show()

Edit

Additionally if you want pretty looking ticks you can use matplotlib.ticker to choose the format of your ticks, an example of which is given below.

import numpy as np

import matplotlib.pyplot as plt
import matplotlib.ticker as mtick

x = np.linspace(1, 4, 1000)

y = x**3

fig, ax = plt.subplots()

ax.loglog(x,y, basex=np.e, basey=np.e)

def ticks(y, pos):
    return r'$e^{:.0f}$'.format(np.log(y))

ax.xaxis.set_major_formatter(mtick.FuncFormatter(ticks))
ax.yaxis.set_major_formatter(mtick.FuncFormatter(ticks))

plt.show()

Answer 2

It can also works for semilogx and semilogy to show them in e and also change their name.

import matplotlib.ticker as mtick
fig, ax = plt.subplots()
def ticks(y, pos):
    return r'$e^{:.0f}$'.format(np.log(y))

plt.semilogy(Time_Series, California_Pervalence ,'gray', basey=np.e  )
ax.yaxis.set_major_formatter(mtick.FuncFormatter(ticks))

plt.show()

Take a look at the image.enter image description here