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:
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