shapley 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")

# Perform transaction level attribution reading data from a data.frame

res=shapley(Data=Data, var_path="path", var_conv="total_conversions", 
            var_value="total_conversion_value", 
            var_null="total_null", cha_sep=">", password=password)
path_attribution=res["attribution"]
print(path_attribution)

#Perform transaction level attribution using the classic Shapley formula

res=shapley(Data=Data, var_path="path", var_conv="total_conversions", 
            var_value="total_conversion_value", 
            var_null="total_null", cha_sep=">", flg_simplified=False, password=password)
path_attribution=res["attribution"]
print(path_attribution)

#Return non converting paths in the output data.frame

res=shapley(Data=Data, var_path="path", var_conv="total_conversions", 
            var_value="total_conversion_value", 
            var_null="total_null", cha_sep=">", flg_write_nulls=1, password=password)
path_attribution=res["attribution"]
print(path_attribution)

#Return paths in the output data.frame

res=shapley(Data=Data, var_path="path", var_conv="total_conversions", 
            var_value="total_conversion_value", var_null="total_null", 
            cha_sep=">", flg_write_paths=1, password=password)
path_attribution=res["attribution"]
print(path_attribution)

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

res=shapley(Data="Data.csv", var_path="path", var_conv="total_conversions", 
            var_value="total_conversion_value", var_null="total_null", 
            cha_sep=">", row_sep=";", file_output="ouput.csv", password=password)
print(res["attribution"])
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Python
