Matplotlib.axes.Axes.inset_axes() in Python

Last Updated : 19 Apr, 2020

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.inset_axes() Function

The Axes.inset_axes() function in axes module of matplotlib library is also used to add a child inset axes to this existing axes.

Syntax: Axes.inset_axes(self, bounds, *, transform=None, zorder=5, **kwargs) Parameters: This method accept the following parameters that are described below:

bounds: This parameter is the Lower-left corner of inset axes, and its width and height.[x0, y0, width, height]

transform: This parameter is the units of rect are in axes-relative coordinates.

zorder: This parameter contains the number and its default value is 5.

Returns: This method returns the ax which is the created Axes instance.

Note: This function works in Matplotlib version >= 3.0 Below examples illustrate the matplotlib.axes.Axes.inset_axes() function in matplotlib.axes: Example 1:

Python3

# Implementation of matplotlib function import matplotlib.pyplot as plt   fig, ax = plt.subplots() ax.plot(range(10)) axin1 = ax.inset_axes([0.8, 0.1,                         0.15, 0.15]) axin2 = ax.inset_axes(         [5, 7, 2.3, 2.3], transform = ax.transData)  ax.set_title('matplotlib.axes.Axes.inset_axes() 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 ="Greens")  axins = ax.inset_axes([0.5, 0.5, 0.47, 0.47])  axins.imshow(Z2, extent = extent,             interpolation ="nearest",             origin ="lower", cmap ="Greens") 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.inset_axes() Example',              fontsize = 14, fontweight ='bold') plt.show()