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:
# 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:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np def Lazyroar(): 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 = Lazyroar() 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, -1.9axins.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() |
Output:
