Matplotlib.axis.Tick.get_sketch_params() in Python

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: