Seaborn is a library for making statistical graphics on top of matplotlib with pandas data structures in python. Seaborn legend is the dialog box which is located on the graph which includes the description of the different attributes with their respected colors in the graph. We can easily change the properties of the seaborn legend including font size, location, background colour, and many others.
Here, We will learn about the way to change the font size, location, and the color of seaborn legend.
Changing the font size of Seaborn legends
To change the font size of Seaborn legends there are two different ways which are listed as follows:
- Using matplotlib.pyplot.setp() function from matplotlib library.
- Using matplotlib.pyplot.legend() function from matplotlib library.
- Using matplotlib.pyplot.setp() function from matplotlib library:
With the help of this method, the user can easily change the font size of the seaborn legends by specifying the particular font size, graph, and subject(whether the user has to change the font size of the text of the title in the legends.
Python3
# import modulesimport seaborn as snsimport matplotlib.pylab as pltsns.set_style("whitegrid")# load datasettips = sns.load_dataset("tips")# depict illustrationgfg = sns.stripplot(x="sex", y="total_bill", hue="day", data=tips, jitter=True)# for legend textplt.setp(gfg.get_legend().get_texts(), fontsize='10') # for legend titleplt.setp(gfg.get_legend().get_title(), fontsize='20') plt.show() |
Output:
- Using matplotlib.pyplot.legend() function from matplotlib library:-
This is one of the easiest methods to change the font size of any Seaborn legends, in this we just have to pass the parameter of the fontsize which allows us to pass the font-size value and it will change the font size.
Python3
# import modulesimport seaborn as snsimport matplotlib.pylab as pltsns.set_style("whitegrid")# load datasettips = sns.load_dataset("tips")# depict illustrationgfg = sns.stripplot(x="sex", y="total_bill", hue="day", data=tips, jitter=True)gfg.legend(fontsize=5)plt.show() |
Output:
Changing the location of Seaborn legends
We use matplotlib.pyplot.legend() function from matplotlib library and pass the bbox_to_anchor parameter which allows us to pass an (x,y) tuple with the required offset for changing the location of the seaborn legends.
Python3
# import modulesimport seaborn as snsimport matplotlib.pylab as pltsns.set_style("whitegrid")# load datasettips = sns.load_dataset("tips")# depict illustrationfg = sns.stripplot(x="sex", y="total_bill", hue="day", data=tips, jitter=True)# to change the legends locationgfg.legend(bbox_to_anchor= (1.2,1))plt.show() |
Output:
Changing the color of Seaborn legends
Just with the use of matplotlib.pyplot.set_facecolor() function from matplotlib library and pass the name of the color user want to in the seaborn legends.
Python3
# import modulesimport matplotlib.pyplot as pltimport numpy as np# depict illustrationg = np.random.rand(20,1)plt.plot(g, label='gfg')legend = plt.legend()frame = legend.get_frame()frame.set_facecolor('green')plt.show() |
Output:
