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How to visualize values on logarithmic scale on matplotalib?
To visualize values on logarithmic scale on matplotlib, we can use yscale('log').
Steps
Import matplotlib nd numpy.
Set the figure size and adjust the padding between and around the subplots.
Create x and y data points using numpy.
Use yscale('log') to visualize the values on a logarithmic scale.
Plot x and y data points using plot method.
Place a legend on the figure.
To display the figure, use show() method.
Example
import numpy as np
from matplotlib import pyplot as plt
# Set the figure size
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
# x and y data points
x = np.linspace(1, 100, 1000)
y = np.log(x)
# logarithmic scale
plt.yscale('log')
# Plot the x and y data points
plt.plot(x, y, c="red", lw=3, linestyle="dashdot", label="y=log(x)")
# Place the legend
plt.legend()
# Display the plot
plt.show()Output
It will produce the following output −
Updated on: 01-Feb-2022
4K+ Views
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