deanjamesss

deanjamesss

import pandas as pd

if __name__ == '__main__':
    # Parse columns 0 through 2 as a date.
    df = pd.read_csv('read_csv_keep_date.csv', header=0,
                     parse_dates=[['col0', 'col1', 'col2']], keep_date_col=True)

deanjamesss

deanjamesss

import pandas as pd

# Set column 0 as the index and parse it as a date.
df = pd.read_csv('read_csv_parse_date.csv', header=0, index_col='col0', parse_dates=True)

deanjamesss

deanjamesss

import pandas as pd

if __name__ == '__main__':
    # Set yes & maybe to True and no to False.
    df = pd.read_csv('read_csv_true_values.csv', header=0,
                     true_values=['yes', 'maybe'], false_values=['no'])

deanjamesss

deanjamesss

import pandas as pd


def double_number(x):
    """ Double a passed float
    :param x: Float that will be doubled.
    :return: A doubled float.
    """
    return float(x) * 2

deanjamesss

deanjamesss

import pandas as pd

# Ensure they type of employee_no is a string.
df = pd.read_csv('read_csv_dtype.csv', dtype={'employee_no': str})