# Matplotlib.axes.Axes.indicate_inset() in Python

• Difficulty Level : Expert
• 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.indicate_inset() Function

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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 ia 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 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:

 `# Implementation of matplotlib function``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()`

Output: Example 2:

 `# 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()``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()`

Output: My Personal Notes arrow_drop_up