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Matplotlib.axis.Tick.get_sketch_params() in Python

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  • Last Updated : 01 May, 2022
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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.Tick.get_sketch_params() Function

The Tick.get_sketch_params() function in axis module of matplotlib library is used to get the sketch parameters for the artist.

Syntax: Tick.get_sketch_params(self) 

Parameters: This method does not accepts any parameter. 

Return value: This method return the sketch parameters for the artist.

Below examples illustrate the matplotlib.axis.Tick.get_sketch_params() function in matplotlib.axis: 

Example 1: 

Python3




# Implementation of matplotlib function
from matplotlib.axis import Tick
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([11, 2, 17, 3 ,14])  
          
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(Tick.get_sketch_params(ax)),   
        fontweight ="bold")
   
fig.suptitle("""matplotlib.axis.Tick.get_sketch_params()
function Example\n""", fontweight ="bold")  
     
plt.show() 

Output: 

 

Example 2: 

Python3




# Implementation of matplotlib function
from matplotlib.axis import Tick
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)   
     
Tick.set_sketch_params(ax, 1.0, 100.0, 22.0)  
Tick.set_sketch_params(ax2, 1.0, 10.0, 22.0
        
ax.text(5, .95, "Sketch Parameters : "
        + str(Tick.get_sketch_params(ax)),   
        fontweight ="bold"
   
fig.suptitle("""matplotlib.axis.Tick.get_sketch_params()
function Example\n""", fontweight ="bold")  
     
plt.show() 

Output:

 


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