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# Matplotlib.axes.Axes.set_ylim() 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.set_ylim() Function:

The Axes.set_ylim() function in axes module of matplotlib library is used to set the y-axis view limits.

Syntax: Axes.set_ylim(self, bottom=None, top=None, emit=True, auto=False, *, ymin=None, ymax=None)

Parameters: This method accepts the following parameters.

• bottom : This parameter is the bottom ylim in data coordinates
• top : This parameter is the top ylim in data coordinates
• emit : This parameter is used to notify observers of limit change.
• auto : This parameter is used to turn on autoscaling of the x-axis.
• ymin, ymax: These parameter are equivalent to bottom and top and it is an error to pass both ymin and bottom or ymax and top.

Returns:This method returns the following

• bottom, top:This returns the new y-axis limits in data coordinates.

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

Example 1:

 `# Implementation of matplotlib function``from` `matplotlib.widgets ``import` `Cursor``import` `numpy as np``import` `matplotlib.pyplot as plt`` ` ` ` `np.random.seed(``19680801``)`` ` `fig, ax ``=` `plt.subplots(facecolor ``=``'# A0F0CC'``)`` ` `x, y ``=` `4``*``(np.random.rand(``2``, ``100``) ``-` `.``5``)``ax.plot(x, y, ``'g'``)``ax.set_ylim(``-``3``, ``3``)`` ` `cursor ``=` `Cursor(ax, useblit ``=` `True``, color ``=``'red'``,``                ``linewidth ``=` `2``)``     ` `ax.set_title(``'matplotlib.axes.Axes.set_ylim() Example\n'``,``             ``fontsize ``=` `14``, fontweight ``=``'bold'``)``plt.show()`

Output:

Example 2:

 `# Implementation of matplotlib function``import` `matplotlib.pyplot as plt``import` `numpy as np`` ` `fig1, ax1 ``=` `plt.subplots()``fig2, ax2 ``=` `plt.subplots()``ax1.``set``(xlim ``=``(``-``0.5``, ``1.5``), ylim ``=``(``-``0.5``, ``1.5``),``               ``autoscale_on ``=` `False``)``ax2.``set``(xlim ``=``(``0.5``, ``0.75``), ylim ``=``(``0.5``, ``0.75``),``               ``autoscale_on ``=` `False``)`` ` `x, y, s, c ``=` `np.random.rand(``4``, ``200``)``s ``*``=` `200`` ` `ax1.scatter(x, y, s, c)``ax2.scatter(x, y, s, c)`` ` ` ` `def` `GFG(event):``    ``if` `event.button !``=` `1``:``        ``return``    ``x, y ``=` `event.xdata, event.ydata``    ``ax2.set_xlim(x ``-` `0.1``, x ``+` `0.1``)``    ``ax2.set_ylim(y ``-` `0.1``, y ``+` `0.1``)``    ``fig2.canvas.draw()`` ` `fig1.canvas.mpl_connect(``'button_press_event'``, GFG)   ``ax1.set_title('matplotlib.axes.Axes.set_ylim()\`` ``Example\n Original Window ',``             ``fontsize ``=` `14``, fontweight ``=``'bold'``)``ax2.set_title(``'Zoomed window '``,``             ``fontsize ``=` `14``, fontweight ``=``'bold'``)``plt.show()`

Output:

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