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:
