How to set axes labels & limits in a Seaborn plot?

In this article, we will learn How to set axes labels & limits in a Seaborn plot. Let's discuss some concepts first.

• Axis is the region in the plot that contains the data space. The Axes contain two or three-axis(in case of 3D) objects which take care of the data limits.
• Axes Labels are the labels that describe the axes' values in terms of meaning, units, and direction.
• Axes Limits are the limits to the axes' values, which are used to filter for a required value on axes.

Here, In this article, the content goes from setting the axes labels, axes limits, and both at a time. In the end, you will be able to learn how to set axes labels & limits in a Seaborn plot.

Set axes labels

Method 1: To set the axes label in the seaborn plot, we use matplotlib.axes.Axes.set() function from the matplotlib library of python.

 Syntax: Axes.set(self, xlabel, ylabel, fontdict=None, labelpad=None, **kwargs)

Parameters:

• xlabel : str- The label text for the x-axis.
• ylabel : str- The label text for the y-axis.
• labelpad : scalar, optional, default: None
• **kwargs : Text properties

Returns: It will change the x-axis and y-axis labels.

Example: In this example, we will use single matplotlib.axes.Axes.set() function and change the label of the with a single call of this function, and we will pass both the xlabel and ylabel parameters in one go and this will change the user plot.

Output:

Method 2: To set the axes label in the seaborn plot, we use matplotlib.axes.Axes.set_ylabel() and matplotlib.axes.Axes.set_xlabel() function from the matplotlib library of python.

Syntax: 

Axes.set_xlabel(self, xlabel, fontdict=None, labelpad=None, **kwargs)

Axes.set_ylabel(self, xlabel, fontdict=None, labelpad=None, **kwargs)

Parameters: This method accepts the following parameters.

• xlabel : This parameter is the label text.
• labelpad : This parameter is the spacing in points from the axes bounding box including ticks and tick labels.

Returns:This method does not return any value.

Example: In this example, we will use matplotlib.axes.Axes.set_ylabel() and matplotlib.axes.Axes.set_xlabel() function separately and pass the name of the label as the parameter to change the label of the plot.

Input:

Output:

Set axes limits

Functions for changing the limits:-

1. matplotlib.axes.Axes.set_xlim() Function: axes module of matplotlib library is used to set the x-axis view limits.
2. matplotlib.axes.Axes.set_ylim() Function: axes module of matplotlib library is used to set the y-axis view limits.

Syntax:

Axes.set_xlim(self, left=None, right=None, emit=True, auto=False, *, xmin=None, xmax=None)

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

Parameters:

• bottom: This parameter is the bottom xlim/ylim in data coordinates
• top: This parameter is the top xlim/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/y-axis.
• xmin, xmax, ymin, ymax: These parameters are equivalent to bottom and top and it is an error to pass both xmin/ymin and bottom or xmax/ymax and top.

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

Example:

Output:

Set axes labels and axes limits

In this particular example, we will be changing the label and the limit of the plot in a single code with the help of the suitable required functions of the python library.

Output: