Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.contains_point() Function
The Axes.contains_point() function in axes module of matplotlib library is used to return whether point (pair of pixel coordinates) is inside the axes patch.
Syntax: Axes.contains_point(self, point)
Parameters: This method accept only one parameters.
- point : This parameter is the pair of pixel coordinates.
Returns: This method returns the boolean value.
Below examples illustrate the matplotlib.axes.Axes.contains_point() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function 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, 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) ax.text(-1.2, 2, "Value Return : "+ str(path.contains_point([0, 0])), fontweight ="bold", fontsize = 10) fig.suptitle('matplotlib.axes.Axes.contains_point() \ function Example', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt from matplotlib.path import Path import matplotlib.patches as patches verts = [(0., 0.), (0., 1.), (1., 1.), (1., 0.), (0., 0.)] codes = [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY] path = Path(verts, codes) fig, ax = plt.subplots() patch = patches.PathPatch(path, facecolor ='green', lw = 2) ax.add_patch(patch) ax.set_xlim(-0.5, 2) ax.set_ylim(-0.5, 2) ax.text(0, 1.2, "Value Return : "+ str(path.contains_point([5, 5])), fontweight ="bold", fontsize = 10) fig.suptitle('matplotlib.axes.Axes.contains_point()\ function Example', fontweight ="bold") plt.show() |
Output:
