How to visualize values on logarithmic scale on matplotalib?

MatplotlibPythonData Visualization

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 −

raja
Updated on 01-Feb-2022 11:20:03

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