Beispiel #1
0
def read_multiseq_data():
    with open('data/multiseq.txt', 'r') as file:
        l = file.readlines()
    # print(l[0].split(','))
    hid = l[0].split(',')
    obs = l[1].split(',')
    hid = clean_data(hid)
    obs = clean_data(obs)
    return  obs, hid
Beispiel #2
0
def read_data_lower_middle_SIR():
    with open('data/sir_lower_income.txt', 'r') as file:
        l = file.readlines()
    # print(l[0].split(','))
    l = l[0].split(',')
    l = clean_data(l)
    with open('data/sir_middle_income.txt', 'r') as file:
        m = file.readlines()
    # print(m[0].split(','))
    m = m[0].split(',')
    m = clean_data(m)
    return l, m
def read_data_lower_middle_SIR():
    with open('data/sir_data.txt', 'r') as file:
        l = file.readlines()
    # print(l[0].split(','))
    l = l[0].split(',')
    l = clean_data(l)
    return l
Beispiel #4
0
def read_data_lower_middle_SIR():
    with open('data/sir_data.txt', 'r') as file:
        l = file.readlines()
    # print(l[0].split(','))
    l = l[0].split(',')
    l = clean_data(l)
    data = []
    for i in range(len(l) - 1):
        data.append([l[i], l[i + 1]])
    with open('data/sir_col_data.txt', 'w') as file:
        data_line = []
        for line in data:
            data_line = []
            a = 'flu_' + line[0]
            b = 'flu_' + line[1]
            # c = 'flu_' + line[2]
            file.write(f'{a},{b} \n')

    return l