Matplotlib.axes.Axes.indicate_inset() in Python
Last Updated :
30 Jun, 2022
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() 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:
- bounds: This parameter is the Lower-left corner of rectangle to be marked 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.
- inset_ax: This parameter is an optional inset axes to draw connecting lines to.
- facecolor: This parameter is used to insert the facecolor of the rectangle.
- edgecolor: This parameter is the color of the rectangle and color of the connecting lines.
- alpha: This parameter represents the transparency of the rectangle and connector lines.
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() function in matplotlib.axes:
Example 1:
Python3
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot( range ( 10 ))
axin1 = ax.indicate_inset([ 0.8 , 0.1 , 0.5 , 0.5 ])
axin2 = ax.indicate_inset(
[ 5 , 7 , 2.3 , 2.3 ], transform = ax.transData)
ax.set_title( 'matplotlib.axes.Axes.indicate_inset() Example' ,
fontsize = 14 , fontweight = 'bold' )
plt.show()
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Output:
Example 2:
Python3
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()
ax.plot( range ( - 3 , 5 ), range ( - 4 , 4 ))
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 * * 3 + 100 , extent = extent,
interpolation = "nearest",
origin = "lower", cmap = "Greens")
axins, axins1 = ax.indicate_inset([ - 1.5 , - 2.5 , 0.8 , 0.8 ])
ax.set_title( 'matplotlib.axes.Axes.indicate_inset() Example' ,
fontsize = 14 , fontweight = 'bold' )
plt.show()
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Output:
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