new_paths_attribution Python Code

Python

#Load library and data

import pandas as pd

from ChannelAttributionPro import *

import urllib.request

Data = pd.read_csv("https://channelattribution.net/csv/Data.csv",sep=";")

password="yourpassword"

urllib.request.urlretrieve("https://channelattribution.net/csv/Data.csv", "Data.csv")

#make attribution on new paths after you have trained a Markov model

train=markov_model(Data=Data, var_path="path", var_conv="total_conversions", 
                   var_value="total_conversion_value", cha_sep=">", password=password)
path_attribution=res$attribution

res=new_paths_attribution(Data=Data[1:5], var_path="path", var_conv="total_conversions", 
                          Dparams=train["parameters"], var_value="total_conversion_value", 
                          row_sep=";", cha_sep=">", flg_write_nulls=0, flg_write_paths=1, 
                          server="app.channelattribution.io", password=password)
print(res['attribution'])


#Perform transaction level attribution reading data from a file and write output to file

res=new_paths_attribution(Data="Data.csv", var_path="path", var_conv="total_conversions", 
                          Dparams=train["parameters"], var_value="total_conversion_value", 
                          row_sep=";", cha_sep=">", flg_write_nulls=0, flg_write_paths=1, 
                          file_output="ouput.csv", server="app.channelattribution.io", 
                          password=password)
print(res['attribution'])
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Python
