g2_g1_recap.py

# import libraries
from datetime import datetime, timedelta
import pandas as pd
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from __future__ import division

import plotly.plotly as py
import plotly.offline as pyoff
import plotly.graph_objs as go

#inititate Plotly
pyoff.init_notebook_mode()

#load our data from CSV
tx_data = pd.read_csv('data.csv')

#convert the string date field to datetime
tx_data['InvoiceDate'] = pd.to_datetime(tx_data['InvoiceDate'])

#we will be using only UK data
tx_uk = tx_data.query("Country=='United Kingdom'").reset_index(drop=True)