25 Python: seaborn

• Library seaborn is a versatile library to create different plots

• Here we provide some examples of seaborn plotting options

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25.1 seaborn: Overview

• Check the details in the seaborn website:

• Install seaborn from PyPI repository: pip install seaborn

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25.2 Python: Read Data

Set the working directory to the data folder and read the iris dataset as an R object DF.

import pandas as pd

import numpy as np

import matplotlib.pyplot as plt

import seaborn as sns

DF = pd.read_csv('iris.csv')

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25.3 Single variable

25.3.1 Histogram

sns.displot(data = DF, x = 'SepalLength', kind = 'hist', kde = False, bins = 20)
# plt.show()

25.3.2 Density plot

plt.clf()
sns.displot(data = DF, x = 'SepalLength', kind = 'hist', kde = True, bins = 20)
# plt.show()

25.3.3 Boxplot

plt.clf()
sns.catplot(y = 'SepalLength', kind = 'box', data = DF)
# plt.show()

25.3.4 Bar plot

plt.clf()
sns.countplot(x = 'Species', data = DF)
# plt.show()

25.3.5 Pie chart

plt.clf()
lab = DF.Species.unique()
cts = DF['Species'].value_counts()
plt.pie(cts, labels = lab)
# plt.show()

([<matplotlib.patches.Wedge object at 0x000001E492EAEBE0>, <matplotlib.patches.Wedge object at 0x000001E492EBA100>, <matplotlib.patches.Wedge object at 0x000001E492EBA5E0>], [Text(0.5499999702695115, 0.9526279613277875, 'setosa'), Text(-1.0999999999999954, -1.0298943258065002e-07, 'versicolor'), Text(0.5500001486524352, -0.9526278583383436, 'virginica')])

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25.4 Multiple variables

25.4.1 Scatter plot

plt.clf()
sns.relplot(x = 'SepalLength', y = 'SepalWidth', kind = 'scatter', data = DF)
# plt.show()

25.4.2 Scatter plot with group

plt.clf()
sns.relplot(x = 'SepalLength', y = 'SepalWidth', kind = 'scatter', hue = 'Species', style = 'Species', data = DF)
# plt.show()

25.4.3 Joint Scatter plot

plt.clf()
sns.jointplot(x = 'SepalLength', y = 'SepalWidth', kind = 'scatter', hue = 'Species', data = DF)
# plt.show()

<seaborn.axisgrid.JointGrid object at 0x000001E492B8A640>

25.4.4 Scatter plot matrix

plt.clf()
sns.pairplot(data = DF, hue = 'Species')
# plt.show()

25.4.5 Boxplot

plt.clf()
DF.boxplot(column = 'SepalLength', by = 'Species')
# plt.show()


# Boxplot with all variables
plt.clf()
sns.catplot(kind = 'box', orient = 'v', data = DF)
# plt.show()

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