19: Data Visualisation with Seaborn

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

iris = sns.load_dataset('iris')
iris.head()

	sepal_length	sepal_width	petal_length	petal_width	species
0	5.1	3.5	1.4	0.2	setosa
1	4.9	3.0	1.4	0.2	setosa
2	4.7	3.2	1.3	0.2	setosa
3	4.6	3.1	1.5	0.2	setosa
4	5.0	3.6	1.4	0.2	setosa

1. Pairplot() : Global pictrue

sns.pairplot(iris, hue='species')

<seaborn.axisgrid.PairGrid at 0x7fc6e4b54670>

2. Categories Viewing

titanic = sns.load_dataset('titanic')
titanic.drop(['alone', 'alive', 'who', 'adult_male', 'embark_town', 'class'], axis=1, inplace=True)
titanic.dropna(axis=0, inplace=True)
titanic.head()

	survived	pclass	sex	age	sibsp	parch	fare	embarked	deck
1	1	1	female	38.0	1	0	71.2833	C	C
3	1	1	female	35.0	1	0	53.1000	S	C
6	0	1	male	54.0	0	0	51.8625	S	E
10	1	3	female	4.0	1	1	16.7000	S	G
11	1	1	female	58.0	0	0	26.5500	S	C

sns.catplot(x='survived', y='age', data=titanic, hue='sex')

<seaborn.axisgrid.FacetGrid at 0x7fc6dfc6eaf0>

plt.figure(figsize=(32, 8))
sns.boxplot(x='age', y='fare', data=titanic, hue='sex')

<AxesSubplot:xlabel='age', ylabel='fare'>

3. Visualisation de Distributions

sns.distplot(titanic['fare'])

/home/ubuntu/Documents/Projects/msci_data/.venv/lib/python3.9/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)

<AxesSubplot:xlabel='fare', ylabel='Density'>

sns.jointplot('age', 'fare', data=titanic, kind='hex')

/home/ubuntu/Documents/Projects/msci_data/.venv/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.
  warnings.warn(

<seaborn.axisgrid.JointGrid at 0x7fc6dfc8bc40>

sns.heatmap(titanic.corr())

<AxesSubplot:>