## How to convert STRING to DateTime in Python
def Kickstarter_Example_53():
    print()
    print(format('How to convert STRING to DateTime in Python','*^82'))
    import warnings
    warnings.filterwarnings("ignore")

    # Load Libraries
    from datetime import datetime
    from dateutil.parser import parse
    import pandas as pd
    # Create a string variable with a datetime
    date_start = '2012-03-03'
    # Convert the string to datetime format
    print()
    print(datetime.strptime(date_start, '%Y-%m-%d'))
    # Create a list of strings as dates
    dates = ['7/2/2017', '8/6/2016', '11/13/2015', '5/26/2014', '5/2/2013']
    # Use parse() to attempt to auto-convert common string formats
    print()
    print(parse(date_start))

    print()
    print([parse(x) for x in dates])
    # Use parse, but designate that the day is first
    print()
    print(parse(date_start, dayfirst=True))

    # Create a dataframe
    data = {'date': ['2014-05-01 18:47:05.069722', '2014-05-01 18:47:05.119994',
                     '2014-05-02 18:47:05.178768', '2014-05-02 18:47:05.230071',
                     '2014-05-02 18:47:05.230071', '2014-05-02 18:47:05.280592',
                     '2014-05-03 18:47:05.332662', '2014-05-03 18:47:05.385109',
                     '2014-05-04 18:47:05.436523', '2014-05-04 18:47:05.486877'],
            'value': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
    df = pd.DataFrame(data, columns = ['date', 'value'])
    print(df.dtypes)
    # Convert df['date'] from string to datetime
    print()
    print(pd.to_datetime(df['date']))
    print(pd.to_datetime(df['date']).dtypes)
Kickstarter_Example_53()