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How to show minor tick labels on a log-scale with Matplotlib?
To show minor tick labels on a log-scale with Matplotlib, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create x and y data points using numpy.
- Plot x and y data points using plot() method
- Get the current axis using gca() method.
- Set the yscale with log class by name.
- Change the appearance of ticks and tick label using ick_params() method.
- Set the minor axis formatter with format strings to format the tick.
- To display the figure, use show() method.
Example
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
x = np.linspace(-2, 2, 10)
y = np.exp(x)
plt.plot(x, y)
ax = plt.gca()
ax.set_yscale('log')
plt.tick_params(axis='y', which='minor')
ax.yaxis.set_minor_formatter(FormatStrFormatter("%.1f"))
plt.show()Output
Updated on: 18-Jun-2021
6K+ Views
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