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Comparison Plots with pairplot() and jointplot()¶

Imports¶

In [1]:

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

In [2]:

df = pd.read_csv("StudentsPerformance.csv")

In [3]:

df.head()

Out[3]:

	gender	race/ethnicity	parental level of education	lunch	test preparation course	math score	reading score	writing score
0	female	group B	bachelor's degree	standard	none	72	72	74
1	female	group C	some college	standard	completed	69	90	88
2	female	group B	master's degree	standard	none	90	95	93
3	male	group A	associate's degree	free/reduced	none	47	57	44
4	male	group C	some college	standard	none	76	78	75

In [6]:

sns.jointplot(x='math score',y='reading score',data=df)

Out[6]:

<seaborn.axisgrid.JointGrid at 0x1ec7d365b08>

In [11]:

sns.jointplot(x='math score',y='reading score',data=df,kind='hex')

Out[11]:

<seaborn.axisgrid.JointGrid at 0x1ec7dde1188>

In [12]:

sns.jointplot(x='math score',y='reading score',data=df,kind='kde')

Out[12]:

<seaborn.axisgrid.JointGrid at 0x1ec7ef41b88>

In [13]:

sns.pairplot(df)

Out[13]:

<seaborn.axisgrid.PairGrid at 0x1ec7f071348>

In [17]:

sns.pairplot(df,hue='gender',palette='viridis')

Out[17]:

<seaborn.axisgrid.PairGrid at 0x1ec01c711c8>

In [18]:

sns.pairplot(df,hue='gender',palette='viridis',corner=True)

Out[18]:

<seaborn.axisgrid.PairGrid at 0x1ec7fbd0608>

In [20]:

sns.pairplot(df,hue='gender',palette='viridis',diag_kind='hist')

Out[20]:

<seaborn.axisgrid.PairGrid at 0x1ec02dccf88>