Table of Contents

• 1  Description
• 2  Imports
• 3  Using plotly api in module bhishan

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 seaborn as sns
import matplotlib.pyplot as plt

%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

ts = pd.date_range(start='1/1/2018',
                    end='2/1/2019',freq='H')
target = np.random.choice([0,1],size=len(ts))
df_ts = pd.DataFrame({'date': ts, 'target': target})
df_ts.head()

	date	target
0	2018-01-01 00:00:00	0
1	2018-01-01 01:00:00	1
2	2018-01-01 02:00:00	1
3	2018-01-01 03:00:00	0
4	2018-01-01 04:00:00	1

df_ts.bp.plot_date_cat('date','target')

ts_small = pd.date_range(start='1/1/2018',
                    end='2/1/2018',freq='H')
target = np.random.choice([0,1,2],size=len(ts_small))
df_ts_small = pd.DataFrame({'date': ts_small, 'target': target})

df_ts_small.bp.plot_daily_cat('date','target')