Table of Contents

• 1  Description
• 2  Imports
• 3  Using plotly api in module bhishan
• 4  Countplot
• 5  Correlation Plot
• 6  Boxplot

Description

This is an example tutorial to use my module bhishan for the plotly extension for pandas.

Imports

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

%load_ext autoreload
%load_ext watermark

%autoreload 2
%watermark -a "Bhishan Poudel" -d -v -m
%watermark -iv

Bhishan Poudel 2021-07-11 

CPython 3.7.7
IPython 7.22.0

compiler   : Clang 4.0.1 (tags/RELEASE_401/final)
system     : Darwin
release    : 19.6.0
machine    : x86_64
processor  : i386
CPU cores  : 4
interpreter: 64bit
seaborn 0.11.0
pandas  1.2.4
numpy   1.19.5

# my local library
import sys
sys.path.append("/Users/poudel/Dropbox/a00_Bhishan_Modules/")
sys.path.append("/Users/poudel/Dropbox/a00_Bhishan_Modules/bhishan")
from bhishan import bp

Using plotly api in module bhishan

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

	total_bill	tip	sex	smoker	day	time	size
0	16.99	1.01	Female	No	Sun	Dinner	2
1	10.34	1.66	Male	No	Sun	Dinner	3
2	21.01	3.50	Male	No	Sun	Dinner	3
3	23.68	3.31	Male	No	Sun	Dinner	2
4	24.59	3.61	Female	No	Sun	Dinner	4

Countplot

tips.bp.plotly_countplot('day')

Correlation Plot

diamonds = sns.load_dataset('diamonds')
diamonds.bp.plotly_corr('price',topN=4)

Boxplot

titanic = sns.load_dataset('titanic')
titanic.bp.plotly_boxplot('age')

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