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