parse dates format pandas

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showing results for - "parse dates format pandas"
Ashley
09 Nov 2018
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
Eustace
28 Jan 2016
1pd.read_csv('data/data_1.csv', parse_dates=['date'], dayfirst=True)
Amy
05 Jan 2019
1format='%Y%m%d%H%M%S'
2
Nele
17 Jan 2020
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
Nicolò
29 Aug 2017
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
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