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.get_sketch_params() Function
The Axes.get_sketch_params() function in axes module of matplotlib library is used to get the sketch parameters for the artist.
Syntax: Axes.get_sketch_params(self)
Parameters: This method does not accepts any parameter.
Returns: This method return the sketch parameters for the artist.
Below examples illustrate the matplotlib.axes.Axes.get_sketch_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') ax.text(0.2, 1.8, "Sketch Parameters : " +str(ax.get_sketch_params()), fontweight ="bold") fig.suptitle('matplotlib.axes.Axes.get_sketch_params() \ function Example\n\n', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function 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, 0.018, 0.143, 0.056, 0.125, 0.096, 0.094, 0.051, 0.043, 0.021, 0.138, 0.075, 0.109, 0.195, 0.050, 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 = .005kwargs = 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) ax.set_sketch_params(1.0, 100.0, 22.0) ax2.set_sketch_params(1.0, 100.0, 22.0) ax.text(5, .95, "Sketch Parameters : " +str(ax.get_sketch_params()), fontweight ="bold") fig.suptitle('matplotlib.axes.Axes.get_sketch_params() \ function Example\n\n', fontweight ="bold") plt.show() |
Output:
