1mydateparser = lambda x: pd.datetime.strptime(x, "%Y %m %d %H:%M:%S")
2df = pd.read_csv("file.csv", sep='\t', names=['date_column', 'other_column'], parse_dates=['date_column'], date_parser=mydateparser)
3
1import pandas as pd
2
3values = {'dates': ['20190902','20190913','20190921'],
4 'status': ['Opened','Opened','Closed']
5 }
6
7df = pd.DataFrame(values, columns = ['dates','status'])
8
9print (df)
10print (df.dtypes)
11
1import pandas as pd
2
3values = {'dates': ['02Sep2019','13Sep2019','21Sep2019'],
4 'status': ['Opened','Opened','Closed']
5 }
6
7df = pd.DataFrame(values, columns = ['dates','status'])
8
9df['dates'] = pd.to_datetime(df['dates'], format='%d%b%Y')
10
11print (df)
12print (df.dtypes)
13