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

• Last Updated : 14 Sep, 2021

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.

Python3

 `# import seaborn``import` `seaborn as sns``sns.set_style(``"whitegrid"``)` `# import data``tips ``=` `sns.load_dataset(``"tips"``)` `# plot boxplot``gfg ``=` `sns.boxplot(x ``=``"day"``, y ``=``"total_bill"``, data ``=` `tips)` `# add label to the axis and label to the plot``gfg.``set``(xlabel ``=``"GFG X"``, ylabel ``=` `"GFG Y"``, title ``=``'some title'``)`

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:

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:

Python3

 `# import seaborn``import` `seaborn as sns``sns.set_style(``"whitegrid"``)` `# load data``tips ``=` `sns.load_dataset(``"tips"``)` `# plot boxplot``gfg ``=` `sns.boxplot(x ``=``"day"``, y ``=``"total_bill"``, data ``=` `tips)``# This will add title to plot``gfg.set_title( ``"GFG - GFG"``)` `# This will add label to X-axis``gfg.set_xlabel( ``"GFG X"``)``# This will add label to Y-axis``gfg.set_ylabel( ``"GFG Y"``)`

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:

Python3

 `# import packages``import` `matplotlib.pyplot as plt``import` `seaborn as sns` `# create data``data ``=` `[``3``, ``7``, ``9``, ``11``, ``12``, ``14``, ``15``, ``16``, ``18``, ``19``, ``20``, ``23``, ``25``, ``28``]` `# plot distplot``fig, ax ``=` `plt.subplots()``sns.distplot(data, ax ``=` `ax)` `# change the limits of X-axis``ax.set_xlim(``1``, ``70``)``plt.show()`

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.

Python3

 `# import packages``import` `matplotlib.pyplot as plt``import` `seaborn as sns` `# create data``data ``=` `[``3``, ``7``, ``9``, ``11``, ``12``, ``14``, ``15``, ``16``, ``18``, ``19``, ``20``, ``23``, ``25``, ``28``]` `# plot distplot``fig, ax ``=` `plt.subplots()``sns.distplot(data, ax ``=` `ax)` `# This will change the limits of the x-axis``ax.set_xlim(``1``, ``70``)` `# This will add label to the X-axis``ax.set_xlabel( ``"GFG X"``)` `# This will add label to the Y-axis``ax.set_ylabel( ``"GFG Y"``)` `# This will add title to the plot``ax.set_title( ``"GFG - GFG"``) ``plt.show()`

Output:

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