Created
October 28, 2016 07:51
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Date Hierarchy for OLAP
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import pandas as pd | |
import numpy as np | |
START_YEAR = 2007 | |
END_YEAR = pd.datetime.today() | |
def main(): | |
df = pd.DataFrame() | |
df['Day'] = pd.date_range(str(START_YEAR), str(END_YEAR)) | |
df['Month'] = df.Day.map(lambda x: "%d-%02d" % (x.year, x.month)) | |
df['Quarter'] = df.Day.map(lambda x: "%d Q%d" % (x.year, x.quarter)) | |
df['Year'] = df.Day.map(lambda x: str(x.year)) | |
dow_lookup = ['1 Monday', '2 Tuesday', '3 Wednesday', '4 Thursday', '5 Friday', '6 Saturday', '7 Sunday'] | |
df['Day_of_Week'] = df.Day.map(lambda x: x.dayofweek).map(lambda x: dow_lookup[x]) | |
return df | |
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