Matplotlib.axes.Axes.get_shared_y_axes() in Python

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_shared_y_axes() Function

The Axes.get_shared_y_axes() function in axes module of matplotlib library is used to return a reference to the shared axes Grouper object for y axes.

Syntax:

```Axes.get_shared_y_axes(self)
```

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

Example 1:

 `# Implementation of matplotlib function ` `import` `matplotlib.pyplot as plt ` `import` `numpy as np ` `   `  ` `  `def` `GFG1(temp): ` `    ``return` `(``5.` `/` `9.``) ``*` `(temp ``-` `32``) ` `   `  `def` `GFG2(ax1): ` `    ``y1, y2 ``=` `ax1.get_ylim() ` `    ``ax_twin .set_ylim(GFG1(y1), GFG1(y2)) ` `    ``ax_twin .figure.canvas.draw() ` `   `  `fig, ax1 ``=` `plt.subplots() ` `ax_twin ``=` `ax1.twiny() ` `   `  `ax1.callbacks.connect(``"ylim_changed"``, GFG2) ` `ax1.plot(np.linspace(``-``40``, ``120``, ``100``)) ` `ax1.set_ylim(``0``, ``100``) ` `   `  `ax1.set_xlabel(``'Fahrenheit'``) ` `ax_twin .set_xlabel(``'Celsius'``) ` ` `  `w ``=` `ax1.get_shared_y_axes() ` `w1 ``=` `ax_twin.get_shared_y_axes() ` `for` `i ``in` `w: ` `    ``x, y ``=` `list``(i) ` `    ``ax1.text(``35``, ``15``, ``"Value return : \n"``,  ` `             ``fontweight ``=``"bold"``) ` `    ``ax1.text(``20``, ``12``, ``str``(x)``+``"\n"``+``str``(y),  ` `             ``fontweight ``=``"bold"``) ` `     `  `fig.suptitle('matplotlib.axes.Axes.get_shared_y_axes() \ ` `function Example\n\n', fontweight ``=``"bold"``) ` `plt.show() `

Output:

Example 2:

 `# Implementation of matplotlib function ` `import` `numpy as np ` `import` `matplotlib.pyplot as plt ` `  `  `# Create some mock data ` `t ``=` `np.arange(``0.01``, ``10.0``, ``0.001``) ` `data1 ``=` `np.exp(t) ` `data2 ``=` `np.sin(``0.4` `*` `np.pi ``*` `t) ` `  `  `fig, ax1 ``=` `plt.subplots() ` `  `  `color ``=` `'tab:blue'` `ax1.set_ylabel(``'time (s)'``) ` `ax1.set_xlabel(``'exp'``, color ``=` `color) ` `ax1.plot(data1, t, color ``=` `color) ` `ax1.tick_params(axis ``=``'x'``, labelcolor ``=` `color) ` `  `  `ax2 ``=` `ax1.twiny() ` `  `  `color ``=` `'tab:green'` `ax2.set_xlabel(``'sin'``, color ``=` `color) ` `ax2.plot(data2, t, color ``=` `color) ` `ax2.tick_params(axis ``=``'x'``, labelcolor ``=` `color) ` ` `  `w ``=` `ax1.get_shared_y_axes() ` `w1 ``=` `ax2.get_shared_y_axes() ` `for` `i ``in` `w: ` `    ``x, y ``=` `list``(i) ` `    ``ax1.text(``7500``, ``6.5``, ``"Value return : \n"``, ` `             ``fontweight ``=``"bold"``) ` `     `  `    ``ax1.text(``5000``, ``6``, ``str``(x)``+``"\n"``+``str``(y),  ` `             ``fontweight ``=``"bold"``) ` `     `  `fig.suptitle('matplotlib.axes.Axes.get_shared_y_axes() \ ` `function Example\n\n', fontweight ``=``"bold"``) ` `plt.show() `

Output:

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