Matplotlib is a library in Python and it is numerical ā 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 Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā plt.rcParams['savefig.facecolor'] = "0.8"plt.rcParams['figure.figsize'] = 6, 5Ā Ā Ā Ā Ā fig, ax = plt.subplots() Ā Ā Ā Ā Ā ax.plot([1, 2]) Ā Ā Ā Ā Ā ax.locator_params("x", nbins = 3) ax.locator_params("y", nbins = 5) Ā Ā Ā Ā Ā ax.set_xlabel('x-label') ax.set_ylabel('y-label') Ā Ā Ā ax.text(0.2, 1.8, "Sketch Parameters : "Ā Ā Ā Ā Ā Ā Ā Ā +str(ax.get_sketch_params()),Ā Ā Ā Ā Ā Ā Ā Ā Ā fontweight ="bold") Ā Ā Ā Ā Ā fig.suptitle('matplotlib.axes.Axes.get_sketch_params() \ function Example\n\n', fontweight ="bold") Ā Ā plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np Ā Ā Ā Ā values = np.array([ Ā Ā Ā Ā 0.015, 0.166, 0.133, Ā Ā Ā Ā 0.159, 0.041, 0.024, Ā Ā Ā Ā 0.195, 0.039, 0.161, Ā Ā Ā Ā 0.018, 0.143, 0.056, Ā Ā Ā Ā 0.125, 0.096, 0.094, Ā Ā Ā Ā 0.051, 0.043, 0.021, Ā Ā Ā Ā 0.138, 0.075, 0.109, Ā Ā Ā Ā 0.195, 0.050, 0.074, Ā Ā Ā Ā 0.079, 0.155, 0.020, Ā Ā Ā Ā 0.010, 0.061, 0.008]) Ā Ā Ā Ā values[[3, 14]] += .8Ā Ā Ā Ā fig, (ax, ax2) = plt.subplots(2, 1, Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā sharex = True) Ā Ā Ā Ā ax.plot(values, "o-", color ="green") ax2.plot(values, "o-", color ="green") Ā Ā Ā Ā ax.set_ylim(.78, 1.)Ā ax2.set_ylim(0, .22) Ā Ā Ā Ā ax.spines['bottom'].set_visible(False) ax2.spines['top'].set_visible(False) Ā Ā ax.xaxis.tick_top() ax.tick_params(labeltop = False) ax2.xaxis.tick_bottom() Ā Ā Ā Ā d = .005kwargs = dict(transform = ax.transAxes,Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā color ='k',Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā clip_on = False) Ā Ā ax.plot((-d, +d), (-d, +d), **kwargs)Ā Ā Ā Ā Ā Ā Ā ax.plot((1 - d, 1 + d), (-d, +d), **kwargs)Ā Ā Ā Ā Ā kwargs.update(transform = ax2.transAxes)Ā Ā ax2.plot((-d, +d), (1 - d, 1 + d), **kwargs) ax2.plot((1 - d, 1 + d), (1 - d, 1 + d), **kwargs)Ā Ā Ā Ā ax.set_sketch_params(1.0, 100.0, 22.0) ax2.set_sketch_params(1.0, 100.0, 22.0)Ā Ā Ā Ā Ā ax.text(5, .95, "Sketch Parameters : "Ā Ā Ā Ā Ā Ā Ā Ā +str(ax.get_sketch_params()),Ā Ā Ā Ā Ā Ā Ā Ā Ā fontweight ="bold") Ā Ā Ā Ā Ā fig.suptitle('matplotlib.axes.Axes.get_sketch_params() \ function Example\n\n', fontweight ="bold") Ā Ā plt.show() |
Output:
