How to put the y-axis in logarithmic scale with Matplotlib ?

Axes’ in all plots using Matplotlib are linear by default, yscale() method of the matplotlib.pyplot library can be used to change the y-axis scale to logarithmic.

The method yscale() takes a single value as a parameter which is the type of conversion of the scale, to convert y-axes to logarithmic scale we pass the “log” keyword or the matplotlib.scale.LogScale class to the yscale method.

Syntax :  matplotlib.pyplot.yscale(value, **kwargs)

Parameters:

• Value = { “linear”, “log”, “symlog”, “logit”, … }
• **kwargs = Different keyword arguments are accepted, depending on the scale (matplotlib.scale.LinearScale, LogScale, SymmetricalLogScale, LogitScale)

Returns : Converts the y-axes to the given scale type. (Here we use the “log” scale type)

Linear Scale Example : 

Python3

import matplotlib.pyplot as plt

data = [10**i for i in range(4)]
plt.plot(data)

Output: 

Linear Scale

Logarithmic Scale Example : 

Python3

import matplotlib.pyplot as plt

data = [10**i for i in range(4)]

# convert y-axis to Logarithmic scale
plt.yscale("log")
plt.plot(data)

Output: 

Logarithmic y-axis