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.set_snap() Function
The Tick.set_snap() function in axis module of matplotlib library is used to set the snapping behavior.
Syntax: Tick.set_snap(self, snap)
Parameters: This method accepts the following parameters.
- snap: This parameter contains the boolean value or None.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Tick.set_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["top"].set_visible(False) Tick.set_snap(ax, True) fig.suptitle('matplotlib.axis.Tick.set_snap() \ function Example', 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, 1], [1, 0], [0, -1], [-1, 0], [0, 1]]) 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(im, None) fig.suptitle('matplotlib.axis.Tick.set_snap() \ function Example', fontweight ="bold") plt.show() |
Output:
