import csv
import sys
import os

#def read_data(numeric_col, data, nominal_dictionary, cols_size):
def read_data():
    for row in content:
        # replacing empty data with '?'
        row_content = []
        for index, cell in enumerate(row):
            # ignoring the weight column, index: 5
            if index == 5:
                row_content.append('?')
            elif cell == '':
                row_content.append('?')
            else:
                row_content.append(cell)
            
#         row = ['?' if cell == '' else cell for cell in row]
        # adding the row to a data list
        data.append(row_content)
        for col in range(cols_size):
            cell_data = row[col]
            # identifying the attribute value set
            if col not in numeric_col and cell_data != '?':
                if col not in nominal_dictionary.keys():
                    nominal_dictionary[col] = set()
                nominal_dictionary[col].add(cell_data)
                
def write_data_to_console():
    # Printing @relation
    print('@relation', name)
    # Printing @attributes
    for col in range(len(header)):
        if col in numeric_col:
            print('@attribute', header[col], 'numeric')
        else:
            print('@attribute', header[col], '{' + ','.join(sorted(nominal_dictionary[col])) + '}')
    # Printing @data
    print('@data')
    for row in data:
        print(','.join(row))

if len(sys.argv) != 2:
    print('Usage: csv2arff.py <path to a csv file>')
    sys.exit(0)
    
file_path = sys.argv[1]

try:
    with open(file_path, 'r') as csvfile:
        content = csv.reader(csvfile, delimiter = ',')
        file_name = os.path.basename(file_path)

        # name of the csv file.
        name = os.path.splitext(file_name)[0]
        # Numeric columns: 
        # 0 - Encounter ID, 1 - Patient number, 5 - Weight, 9 - Time in hospital, 12 - Number of lab procedures
        # 13 - Number of procedures, 14 - Number of medications, 15 - Number of outpatient visits
        # 16 - Number of emergency visits, 17 - Number of inpatient visits, 21 - Number of diagnoses
        numeric_col = {0, 1, 5, 9, 12, 13, 14, 15, 16, 17, 21}
        data = []
        nominal_dictionary = {}
        header = next(content);
        cols_size = len(header)
        
        read_data()
        write_data_to_console()
                        
except IOError:
    print('File not found')
    sys.exit(0)
    






e0215a0b7b11a430dda46c92fc4febdf88dc391f
<mask token>


def read_data():
    for row in content:
        row_content = []
        for index, cell in enumerate(row):
            if index == 5:
                row_content.append('?')
            elif cell == '':
                row_content.append('?')
            else:
                row_content.append(cell)
        data.append(row_content)
        for col in range(cols_size):
            cell_data = row[col]
            if col not in numeric_col and cell_data != '?':
                if col not in nominal_dictionary.keys():
                    nominal_dictionary[col] = set()
                nominal_dictionary[col].add(cell_data)


def write_data_to_console():
    print('@relation', name)
    for col in range(len(header)):
        if col in numeric_col:
            print('@attribute', header[col], 'numeric')
        else:
            print('@attribute', header[col], '{' + ','.join(sorted(
                nominal_dictionary[col])) + '}')
    print('@data')
    for row in data:
        print(','.join(row))


<mask token>

<mask token>


def read_data():
    for row in content:
        row_content = []
        for index, cell in enumerate(row):
            if index == 5:
                row_content.append('?')
            elif cell == '':
                row_content.append('?')
            else:
                row_content.append(cell)
        data.append(row_content)
        for col in range(cols_size):
            cell_data = row[col]
            if col not in numeric_col and cell_data != '?':
                if col not in nominal_dictionary.keys():
                    nominal_dictionary[col] = set()
                nominal_dictionary[col].add(cell_data)


def write_data_to_console():
    print('@relation', name)
    for col in range(len(header)):
        if col in numeric_col:
            print('@attribute', header[col], 'numeric')
        else:
            print('@attribute', header[col], '{' + ','.join(sorted(
                nominal_dictionary[col])) + '}')
    print('@data')
    for row in data:
        print(','.join(row))


if len(sys.argv) != 2:
    print('Usage: csv2arff.py <path to a csv file>')
    sys.exit(0)
<mask token>
try:
    with open(file_path, 'r') as csvfile:
        content = csv.reader(csvfile, delimiter=',')
        file_name = os.path.basename(file_path)
        name = os.path.splitext(file_name)[0]
        numeric_col = {0, 1, 5, 9, 12, 13, 14, 15, 16, 17, 21}
        data = []
        nominal_dictionary = {}
        header = next(content)
        cols_size = len(header)
        read_data()
        write_data_to_console()
except IOError:
    print('File not found')
    sys.exit(0)

<mask token>


def read_data():
    for row in content:
        row_content = []
        for index, cell in enumerate(row):
            if index == 5:
                row_content.append('?')
            elif cell == '':
                row_content.append('?')
            else:
                row_content.append(cell)
        data.append(row_content)
        for col in range(cols_size):
            cell_data = row[col]
            if col not in numeric_col and cell_data != '?':
                if col not in nominal_dictionary.keys():
                    nominal_dictionary[col] = set()
                nominal_dictionary[col].add(cell_data)


def write_data_to_console():
    print('@relation', name)
    for col in range(len(header)):
        if col in numeric_col:
            print('@attribute', header[col], 'numeric')
        else:
            print('@attribute', header[col], '{' + ','.join(sorted(
                nominal_dictionary[col])) + '}')
    print('@data')
    for row in data:
        print(','.join(row))


if len(sys.argv) != 2:
    print('Usage: csv2arff.py <path to a csv file>')
    sys.exit(0)
file_path = sys.argv[1]
try:
    with open(file_path, 'r') as csvfile:
        content = csv.reader(csvfile, delimiter=',')
        file_name = os.path.basename(file_path)
        name = os.path.splitext(file_name)[0]
        numeric_col = {0, 1, 5, 9, 12, 13, 14, 15, 16, 17, 21}
        data = []
        nominal_dictionary = {}
        header = next(content)
        cols_size = len(header)
        read_data()
        write_data_to_console()
except IOError:
    print('File not found')
    sys.exit(0)

import csv
import sys
import os


def read_data():
    for row in content:
        row_content = []
        for index, cell in enumerate(row):
            if index == 5:
                row_content.append('?')
            elif cell == '':
                row_content.append('?')
            else:
                row_content.append(cell)
        data.append(row_content)
        for col in range(cols_size):
            cell_data = row[col]
            if col not in numeric_col and cell_data != '?':
                if col not in nominal_dictionary.keys():
                    nominal_dictionary[col] = set()
                nominal_dictionary[col].add(cell_data)


def write_data_to_console():
    print('@relation', name)
    for col in range(len(header)):
        if col in numeric_col:
            print('@attribute', header[col], 'numeric')
        else:
            print('@attribute', header[col], '{' + ','.join(sorted(
                nominal_dictionary[col])) + '}')
    print('@data')
    for row in data:
        print(','.join(row))


if len(sys.argv) != 2:
    print('Usage: csv2arff.py <path to a csv file>')
    sys.exit(0)
file_path = sys.argv[1]
try:
    with open(file_path, 'r') as csvfile:
        content = csv.reader(csvfile, delimiter=',')
        file_name = os.path.basename(file_path)
        name = os.path.splitext(file_name)[0]
        numeric_col = {0, 1, 5, 9, 12, 13, 14, 15, 16, 17, 21}
        data = []
        nominal_dictionary = {}
        header = next(content)
        cols_size = len(header)
        read_data()
        write_data_to_console()
except IOError:
    print('File not found')
    sys.exit(0)

import csv
import sys
import os

#def read_data(numeric_col, data, nominal_dictionary, cols_size):
def read_data():
    for row in content:
        # replacing empty data with '?'
        row_content = []
        for index, cell in enumerate(row):
            # ignoring the weight column, index: 5
            if index == 5:
                row_content.append('?')
            elif cell == '':
                row_content.append('?')
            else:
                row_content.append(cell)
            
#         row = ['?' if cell == '' else cell for cell in row]
        # adding the row to a data list
        data.append(row_content)
        for col in range(cols_size):
            cell_data = row[col]
            # identifying the attribute value set
            if col not in numeric_col and cell_data != '?':
                if col not in nominal_dictionary.keys():
                    nominal_dictionary[col] = set()
                nominal_dictionary[col].add(cell_data)
                
def write_data_to_console():
    # Printing @relation
    print('@relation', name)
    # Printing @attributes
    for col in range(len(header)):
        if col in numeric_col:
            print('@attribute', header[col], 'numeric')
        else:
            print('@attribute', header[col], '{' + ','.join(sorted(nominal_dictionary[col])) + '}')
    # Printing @data
    print('@data')
    for row in data:
        print(','.join(row))

if len(sys.argv) != 2:
    print('Usage: csv2arff.py <path to a csv file>')
    sys.exit(0)
    
file_path = sys.argv[1]

try:
    with open(file_path, 'r') as csvfile:
        content = csv.reader(csvfile, delimiter = ',')
        file_name = os.path.basename(file_path)

        # name of the csv file.
        name = os.path.splitext(file_name)[0]
        # Numeric columns: 
        # 0 - Encounter ID, 1 - Patient number, 5 - Weight, 9 - Time in hospital, 12 - Number of lab procedures
        # 13 - Number of procedures, 14 - Number of medications, 15 - Number of outpatient visits
        # 16 - Number of emergency visits, 17 - Number of inpatient visits, 21 - Number of diagnoses
        numeric_col = {0, 1, 5, 9, 12, 13, 14, 15, 16, 17, 21}
        data = []
        nominal_dictionary = {}
        header = next(content);
        cols_size = len(header)
        
        read_data()
        write_data_to_console()
                        
except IOError:
    print('File not found')
    sys.exit(0)
    





