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# Matplotlib.pyplot.gci() in Python

• Last Updated : 10 May, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. There are various plots which can be used in Pyplot are Line Plot, Contour, Histogram, Scatter, 3D Plot, etc.

## matplotlib.pyplot.gci() method

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The gci() method in pyplot module of matplotlib library is used to get the current colorable artist.

Syntax: matplotlib.pyplot.gci()

Parameters: This method does not accept any parameters.

Returns: This method returns the current colorable artist.

Below examples illustrate the matplotlib.pyplot.gci() function in matplotlib.pyplot:

Example 1:

 `# Implementation of matplotlib function ``import` `matplotlib.pyplot as plt ``import` `numpy as np ``import` `matplotlib.gridspec as gridspec ``from` `mpl_toolkits.axes_grid1 ``import` `make_axes_locatable ``   ` `   ` `plt.close(``'all'``) ``arr ``=` `np.arange(``100``).reshape((``10``, ``10``)) ``fig ``=` `plt.figure(figsize ``=``(``4``, ``4``)) ``im ``=` `plt.imshow(arr,  ``                ``interpolation ``=``"none"``, ``                ``cmap ``=``"plasma"``) ``   ` `divider ``=` `make_axes_locatable(plt.gca()) ``cax ``=` `divider.append_axes(``"left"``,  ``                          ``"15 %"``, ``                          ``pad ``=``"30 %"``) ``   ` `plt.colorbar(im, cax ``=` `cax) `` ` `print``(``"The current colorable artist is :"``)``print``(plt.gci())`` ` `fig.suptitle('matplotlib.pyplot.gci() function \``Example\n\n', fontweight ``=``"bold"``) `` ` `plt.show() `

Output: ```The current colorable artist is :
AxesImage(50, 44;310x308)
```

Example 2:

 `# Implementation of matplotlib function``import` `matplotlib.pyplot as plt``from` `scipy ``import` `sin, cos`` ` ` ` `fig, ax ``=` `plt.subplots(``2``, ``1``)``x ``=` `[``1``, ``2``, ``3``, ``4``, ``5``, ``6``, ``7``, ``8``, ``9``]`` ` `y1 ``=` `sin(x)``y2 ``=` `cos(x)`` ` `plt.sca(ax[``0``])``plt.plot(x, y1)`` ` `plt.sca(ax[``1``])``plt.plot(x, y2)`` ` `print``(``"The current colorable artist is :"``)``print``(plt.gci())`` ` `fig.suptitle('matplotlib.pyplot.gci() function \``Example\n\n', fontweight ``=``"bold"``) `` ` `plt.show() `

Output: ```The current colorable artist is :
None
```

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