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Matplotlib.axes.Axes.get_data_ratio() in Python
• Last Updated : 30 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.get_data_ratio() Function

The Axes.get_data_ratio() function in axes module of matplotlib library is used to get the aspect ratio of the raw data.

Syntax: Axes.get_data_ratio(self)

Parameters: This method does not accepts any parameter.

Returns: This method return the aspect ratio of the raw data.

Below examples illustrate the matplotlib.axes.Axes.get_data_ratio() function in matplotlib.axes:

Example 1:

 # Implementation of matplotlib functionimport matplotlib.pyplot as pltimport numpy as np   fig, ax1 = plt.subplots()   x = np.random.randn(20, 50)x[12, :] = 0.x[:, 22] = 0.  ax1.spy(x)ax1.set_title("Value Return by get_data_ratio : "              +str(ax1.get_data_ratio())+"\n")  fig.suptitle('matplotlib.axes.Axes.get_data_ratio() \Example')  plt.show()

Output:

Example 2:

 # Implementation of matplotlib functionimport matplotlib.pyplot as pltimport numpy as np   fig, [(ax1, ax2), (ax3, ax4)] = plt.subplots(2, 2)   x = np.random.randn(20, 50)x[5, :] = 0.x[:, 12] = 0.   ax1.spy(x, markersize = 4)ax2.spy(x, precision = 0.2, markersize = 4)   ax3.spy(x)ax4.spy(x, precision = 0.4)  ax1.set_title("Value Return by get_data_ratio : "              +str(ax1.get_data_ratio())+"\n")    ax2.set_title("Value Return by get_data_ratio : "              +str(ax2.get_data_ratio())+"\n")  ax3.set_title("Value Return by get_data_ratio : "              +str(ax3.get_data_ratio())+"\n")  ax4.set_title("Value Return by get_data_ratio : "              +str(ax4.get_data_ratio())+"\n")  fig.suptitle('matplotlib.axes.Axes.get_data_ratio\ Example')  plt.show()

Output:

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