Matplotlib.axes.Axes.indicate_inset_zoom() in Python

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.indicate_inset_zoom() Function

The Axes.indicate_inset() function in axes module of matplotlib library is also used to add an inset indicator to the axes.

Syntax: Axes.indicate_inset(self, bounds, inset_ax=None, *, transform=None, facecolor=’none’, edgecolor=’0.5′, alpha=0.5, zorder=4.99, **kwargs) 

Parameters: This method accept the following parameters that are described below:

• inset_ax: This parameter is an optional inset axes to draw connecting lines to.
• **kwargs: Other kwargs are passed on to Axes.inset_rectangle.

Returns: This method returns the following:

• rectangle_patch : This return the indicator frame.
• connector_lines: This return the four connector lines connecting to (lower_left, upper_left, lower_right upper_right) corners of inset_ax.

Note: This function works in Matplotlib version >= 3.0 

Below examples illustrate the matplotlib.axes.Axes.indicate_inset_zoom() function in matplotlib.axes: 

Example 1:

Python3

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots()


Z2 = np.zeros([150, 150], dtype ="g")

axins = ax.inset_axes([0.5, 0.5, 0.47, 0.47])
x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
axins.set_xlim(x1, x2)
axins.set_ylim(y1, y2)

ax.indicate_inset_zoom(axins)

ax.set_title('matplotlib.axes.Axes.indicate_inset_zoom() Example',
             fontsize = 14, fontweight ='bold')
plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np


def geeks():
    from matplotlib.cbook import get_sample_data
    import numpy as np
    f = get_sample_data("axes_grid / bivariate_normal.npy",
                        asfileobj = False)
    z = np.load(f)
    return z, (-3, 4, -4, 3)

fig, ax = plt.subplots()

X, extent = geeks()
Z2 = np.zeros([150, 150], dtype ="g")
ny, nx = X.shape
Z2[30:30 + ny, 30:30 + nx] = X

ax.imshow(Z2, extent = extent, interpolation ="nearest",
          origin ="lower", cmap ="YlGn")

axins = ax.inset_axes([0.5, 0.5, 0.47, 0.47])
axins.imshow(Z2, extent = extent, interpolation ="nearest",
          origin ="lower", cmap ="BuGn")
x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
axins.set_xlim(x1, x2)
axins.set_ylim(y1, y2)

ax.indicate_inset_zoom(axins)

ax.set_title('matplotlib.axes.Axes.indicate_inset_zoom() Example',
             fontsize = 14, fontweight ='bold')
plt.show()

Output: