Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.locator_params() Function
The Axes.locator_params() function in axes module of matplotlib library is used to control behavior of major tick locators.
Syntax: Axes.locator_params(self, axis=’both’, tight=None, **kwargs)
Parameters: This method accepts the following parameters.
- axis : This parameter is the axis on which to operate
.
- tight : This parameter is passed to autoscale_view. Default is None, for no change.
Return value: This method does not returns any value.
Below examples illustrate the matplotlib.axes.Axes.locator_params()
function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import matplotlib.gridspec as gridspec
import numpy as np
plt.rcParams[ 'savefig.facecolor' ] = "0.8"
plt.rcParams[ 'figure.figsize' ] = 6 , 5
fig, ax = plt.subplots()
ax.plot([ 1 , 2 ])
ax.locator_params( "x" , nbins = 3 )
ax.locator_params( "y" , nbins = 5 )
ax.set_xlabel( 'x-label' )
ax.set_ylabel( 'y-label' )
fig.suptitle('matplotlib.axes.Axes.locator_params() \ function Example\n\n', fontweight = "bold" )
plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import matplotlib.gridspec as gridspec
import numpy as np
arr = np.arange( 100 ).reshape(( 10 , 10 ))
norm = mcolors.Normalize(vmin = 0. , vmax = 100. )
pc_kwargs = { 'rasterized' : True , 'cmap' : 'viridis' ,
'norm' : norm}
fig, (ax, ax1) = plt.subplots( 1 , 2 )
im = ax.pcolormesh(arr, * * pc_kwargs)
fig.colorbar(im, ax = ax, shrink = 0.6 )
im1 = ax1.pcolormesh(arr, * * pc_kwargs)
ax1.locator_params(nbins = 3 )
fig.colorbar(im1, ax = ax1, shrink = 0.6 )
ax.set_title( "Without locator_params()" )
ax1.set_title( "With locator_params()" )
fig.suptitle('matplotlib.axes.Axes.locator_params() \ function Example\n\n', fontweight = "bold" )
plt.show() |
Output: