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 scaleplt.yscale("log") plt.plot(data) |
Output:
Logarithmic y-axis
… [Trackback]
[…] Info on that Topic: geeksforgeeks.org/how-to-put-the-y-axis-in-logarithmic-scale-with-matplotlib/ […]