ah89

import csv

input_file_path = 'soccer_clean_flat.csv'
output_file_name = 'soccer_clean.csv'
f = open(input_file_path)
csv_f = csv.reader(f)

header = csv_f.next()
f2 = open(output_file_name, 'w')
f2.write('{},{},{}\n'.format(header[0], header[1], header[2]))

ah89

import numpy as np
import pandas as pd
import copy
from sklearn import tree
import graphviz

class Greedy:
    def __init__(self, set_vlaues, given_tuple, metric):
        self.given_tuple = given_tuple
        self.set_vlaues = set_vlaues

ah89

import csv

input_file_path = 'ehr_clean.csv'
output_file_name = 'ehr_clean_f.csv'
f = open(input_file_path)
csv_f = csv.reader(f)

rows = []

for row in csv_f: