20170516: Python script to convert .csv to "triple store"

A python script to take a .csv file and convert it to a tab delimited file in "triple store" (id/name/value pairs).

Source File: https://data.nasa.gov/Space-Science/Meteorite-Landings/gh4g-9sfh

takes a file with 45,717 records (10 columns) and creates a file with over 500k records (3 columns).
I probably should add the following to remove any possible tabs in the values:

 str1 = str1.replace('\t', '')

---

#createTripleStore.py
import pandas as pd

myFileName = "Meteorite_Landings.csv"
#if you do not know the id column, set it to N/A or ""
myIdColumn = "id"
#myIdColumn = ""
myOutFileName = myFileName + ".TabFileOut.txt"

df=pd.read_csv(myFileName, encoding='UTF-8')

df['myFileName'] = myFileName

rows_list=[]
i = 0


for index, row in df.iterrows():
    i = i + 1

    if myIdColumn is None or myIdColumn == "" or myIdColumn == "N/A":
        myIdColumnValue = i
    else:
        myIdColumnValue = row[myIdColumn]

    RecordtoAdd={} #initialise an empty dict 
    RecordtoAdd.update({'01-id' : myIdColumnValue})
    RecordtoAdd.update({'02-columnName' : "myFileRecordId"})
    RecordtoAdd.update({'03-columnValue' : i})
    rows_list.append(RecordtoAdd)

    for c in df:
        myColumnName = c
        if myColumnName == myIdColumn:
            myDoNothing = "Y"
        else:
            RecordtoAdd={} #initialise an empty dict 
            RecordtoAdd.update({'01-id' : myIdColumnValue})
            RecordtoAdd.update({'02-columnName' : myColumnName})
            RecordtoAdd.update({'03-columnValue' : row[myColumnName]})
            rows_list.append(RecordtoAdd)

#create a dataframe and write it out
df_out = pd.DataFrame(rows_list)
df_out.to_csv(myOutFileName, sep='\t', encoding='utf-8', index=False)