Created
January 26, 2019 19:06
-
-
Save annacrotty/677b761abb7b68b0a10cd48105d3058b to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import pandas as pd | |
import numpy as np | |
databankcrap = pd.read_csv('/Users/annacrotty/Downloads/contribrpt.csv') | |
opps = pd.DataFrame(columns=['Member ID','Campaign Name', 'Segment Code', 'Type', | |
'Method', 'Date', 'Amount']) | |
for x in range(0, 2270): | |
for i in range (1,50): | |
colnum = 14+(6*i) | |
rownum = x | |
if pd.notnull(databankcrap.iloc[rownum,colnum+4]): | |
tempdf = pd.DataFrame([[ | |
databankcrap.iloc[rownum,0], | |
databankcrap.iloc[rownum,colnum], | |
databankcrap.iloc[rownum,colnum+1], | |
databankcrap.iloc[rownum,colnum+2], | |
databankcrap.iloc[rownum,colnum+3], | |
databankcrap.iloc[rownum,colnum+4], | |
databankcrap.iloc[rownum,colnum+5] | |
]], | |
columns = ['Member ID','Campaign Name', 'Segment Code', 'Type', | |
'Method', 'Date', 'Amount']) | |
opps=opps.append(tempdf) | |
opps |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment