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_sketch_params() Function
The Axis.set_sketch_params() function in axis module of matplotlib library is used to sets the sketch parameters.
Syntax: Axis.set_sketch_params(self, scale=None, length=None, randomness=None)
Parameters: This method accepts the following parameters.
- scale: This parameter is the amplitude of the wiggle perpendicular to the source line, in pixels.
- length: This parameter is the length of the wiggle along the line, in pixels.
- randomness: This parameter is the scale factor by which the length is shrunken or expanded.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Axis.set_sketch_params() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis 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') Axis.set_sketch_params(ax, 50, 50, 10) fig.suptitle('matplotlib.axis.Axis.set_sketch_params() \ function Example\n', fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import matplotlib.pyplot as plt import numpy as np values = np.array([ 0.015, 0.166, 0.133, 0.159, 0.041, 0.024, 0.195, 0.039, 0.161, 0.918, 0.143, 0.056, 0.125, 0.096, 0.094, 0.051, 0.043, 0.021, 0.138, 0.075, 0.109, 0.195, 0.750, 0.074, 0.079, 0.155, 0.020, 0.010, 0.061, 0.008]) values[[3, 14]] += .8 fig, (ax, ax2) = plt.subplots(2, 1, sharex = True) ax.plot(values, "o-", color ="green") ax2.plot(values, "o-", color ="green") ax.set_ylim(.78, 1.) ax2.set_ylim(0, .22) ax.spines['bottom'].set_visible(False) ax2.spines['top'].set_visible(False) ax.xaxis.tick_top() ax.tick_params(labeltop = False) ax2.xaxis.tick_bottom() d = .001kwargs = dict(transform = ax.transAxes, color ='k', clip_on = False) ax.plot((-d, +d), (-d, +d), **kwargs) ax.plot((1 - d, 1 + d), (-d, +d), **kwargs) kwargs.update(transform = ax2.transAxes) ax2.plot((-d, +d), (1 - d, 1 + d), **kwargs) ax2.plot((1 - d, 1 + d), (1 - d, 1 + d), **kwargs) Axis.set_sketch_params(ax, 1.0, 10.0, 25.0) Axis.set_sketch_params(ax2, 2.0, 100.0, 50.0) fig.suptitle('matplotlib.axis.Axis.set_sketch_params() \ function Example\n', fontweight ="bold") plt.show() |
Output:
