Matplotlib.axes.Axes.get_sketch_params() in Python

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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 = .005
kwargs = 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() 