Data visualization library based on Matplotlib. Provides High Level Graphical Interface.

import seaborn as sns
import matplotlib.pyplot as plt

loading dataset,# draw lineplot,# setting the x limit of the plot# # changing the theme to dark

data = sns.load_dataset("iris")
sns.lineplot(x="sepal_length", y="sepal_width", data=data)
plt.xlim(5)
sns.set_style("dark")
plt.show()

figure() method.

data = sns.load_dataset("iris")
plt.figure(figsize = (4, 4))
sns.lineplot(x="sepal_length", y="sepal_width", data=data)
sns.despine()
plt.show()

set_context() method

Syntax:

set_context(context=None, font_scale=1, rc=None)

data = sns.load_dataset("iris")
sns.lineplot(x="sepal_length", y="sepal_width", data=data)
sns.set_context("poster")
plt.show()

*Subplot Already Discued in Matplotlib

Relational Plots-->Relational …

dark data data dataset data visualization figure import library loading matplotlib plot representation seaborn show visualization