Matplotlib.axis.Tick.get_snap() 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_snap() Function

The Tick.get_snap() function in axis module of matplotlib library is used to get the snap setting.

Syntax: Tick.get_snap(self) 

Parameters: This method does not accepts any parameter. 

Return value: This method return the snap setting.

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

Example 1:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
import matplotlib.pyplot as plt
from mpl_toolkits.axisartist.axislines import Subplot


fig = plt.figure()

ax = Subplot(fig, 111)
fig.add_subplot(ax)

ax.axis["left"].set_visible(False)
ax.axis["right"].set_visible(False)

ax.text(0.3, 0.5, "Snap Setting : "
        + str(Tick.get_snap(ax)),
        fontweight="bold")

fig.suptitle("""matplotlib.axis.Tick.get_snap()
function Example\n""", fontweight="bold")

plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
from matplotlib.path import Path
from matplotlib.patches import PathPatch


delta = 0.025
x = y = np.arange(-3.0, 3.0, delta)
X, Y = np.meshgrid(x, y)

Z1 = np.exp(-X**2 - Y**2)
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
Z = (Z1 - Z2) * 2

path = Path([[0, 2], [2, 0], [0, -2],
             [-2, 0], [0, 2]])
patch = PathPatch(path, facecolor='none')

fig, ax = plt.subplots()
ax.add_patch(patch)

im = ax.imshow(Z, interpolation='bilinear',
               cmap=cm.gray,
               origin='lower',
               extent=[-3, 3, -3, 3],
               clip_path=patch,
               clip_on=True)

im.set_clip_path(patch)

Tick.set_snap(ax, True)

ax.text(-1.3, 2, "Snap Setting : "
        + str(Tick.get_snap(ax)),
        fontweight="bold")

fig.suptitle("""matplotlib.axis.Tick.get_snap()
function Example\n""", fontweight="bold")

plt.show()

Output: