Matplotlib.axis.Axis.set_minor_formatter() function in Python

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

matplotlib.axis.Axis.set_minor_formatter() Function

The Axis.set_minor_formatter() function in axis module of matplotlib library is used to set the formatter of the minor ticker.

Syntax: Axis.set_minor_formatter(self, formatter)

Parameters: This method accepts the following parameters. 

• formatter: This parameter is the Formatter.

Return value: This method does not returns any value. 

Below examples illustrate the matplotlib.axis.Axis.set_minor_formatter() function in matplotlib.axis:
Example 1:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator, ScalarFormatter

fig, ax = plt.subplots()
ax.plot([0, 5, 10, 15, 20], [3, 2, 1, 2, 4])

Axis.set_minor_locator(ax.xaxis, MultipleLocator(1))
Axis.set_minor_formatter(ax.xaxis, ScalarFormatter())

ax.tick_params(axis ='both', which ='major',
               labelsize = 14, pad = 12,
               colors ='g')

ax.tick_params(axis ='both', which ='minor',
               labelsize = 8, colors ='b')

plt.title("Matplotlib.axis.Axis.set_minor_formatter()\n\
Function Example", fontsize = 12, fontweight ='bold')

plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
from matplotlib.ticker import LogFormatter
import numpy as np

fig, axes = plt.subplots(2)

dt = 0.01
t = np.arange(dt, 20.0, dt)

# first plot doesn't use a formatter
axes[0].semilogx(t, np.exp(-t / 5.0))
axes[0].grid()

xlims = [[0, 25], [0.2, 8], [0.6, 0.9]]

for ax, xlim in zip(axes[1:], xlims):

    ax.semilogx(t, np.exp(-t / 5.0))
    formatter = LogFormatter(labelOnlyBase = False,
                             minor_thresholds = (2, 0.4))

    Axis.set_minor_formatter(ax.xaxis, formatter)
    ax.grid()

fig.suptitle("Matplotlib.axis.Axis.set_minor_formatter()\n\
Function Example", fontsize = 12, fontweight ='bold')

plt.show()

Output: