Seaborn is a Python data visualization library based on Matplotlib. It is used to draw attractive and informative statistical graphics. To adjust the figure size of the seaborn plot we will use the subplots function of matplotlib.pyplot.
Examples to change the figure size of a seaborn axes
matplotlib.pyplot.subplots() Create a figure and a set of subplots. It has a parameter called figsize which takes a tuple as an argument that contains the height and the width of the plot. It returns the figure and the array of axes. While calling the seaborn plot we will set the ax parameter equal to the array of axes that was returned by matplotlib.pyplot.subplots after setting the dimensions of the desired plot.
Example 1: We will consider two students and plot their marks in a bar plot, and we will set the plot of size ( 4,5 ).
Python3
# Importing librariesimport seaborn as snsimport matplotlib.pyplot as pltÂ
# Setting the datax = ["Student1", "Student2"]y = [70, 87]Â
# setting the dimensions of the plotfig, ax = plt.subplots(figsize=(4, 5))Â
# drawing the plotsns.barplot(x, y, ax=ax)plt.show() |
Output:
fig size ( 6,4 )
Example 2: We will draw a plot of size (6, 6).
Python3
# Importing librariesimport seaborn as snsimport matplotlib.pyplot as pltÂ
# Setting the datax = ["Student1", "Student2"]y = [80, 68]Â
# setting the dimensions of the plotfig, ax = plt.subplots(figsize=(6, 6))Â
# drawing the plotsns.barplot(x, y, ax=ax)plt.show() |
fig size ( 6,6 )
Example 3: In this example, We will create boxplot and set the size of a chart with figsize.
Python3
# Importing librariesimport seaborn as snsimport matplotlib.pyplot as pltÂ
# Setting the datax = ["Student1", "Student2"]y = [70, 87]Â
# setting the dimensions of the plotfig, ax = plt.subplots(figsize=(40, 5))Â
# drawing the plotsns.boxplot(x = y)plt.show() |
Output:
Â
