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 = 0.025x = 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:
