pandas parse date code example

Example 1: pd.to_datetime python

import pandas as pd
date='2020/11/26 12:00:00'
date_time=pd.to_datetime(date, format='%Y/%m/%d %H:%M:%S')

Example 2: date parser python pandas

mydateparser = lambda x: pd.datetime.strptime(x, "%Y %m %d %H:%M:%S")
df = pd.read_csv("file.csv", sep='\t', names=['date_column', 'other_column'], parse_dates=['date_column'], date_parser=mydateparser)

Example 3: parse_dates format pandas

pd.read_csv('data/data_1.csv', parse_dates=['date'], dayfirst=True)

Example 4: date parser python pandas

format='%d-%b-%Y'

Example 5: date parser python pandas

import pandas as pd

values = {'dates':  ['02-Sep-2019','13-Sep-2019','21-Sep-2019'],
          'status': ['Opened','Opened','Closed']
          }

df = pd.DataFrame(values, columns = ['dates','status'])

df['dates'] = pd.to_datetime(df['dates'], format='%d-%b-%Y')

print (df)
print (df.dtypes)

Example 6: date parser python pandas

import pandas as pd

values = {'dates':  ['20190902093000','20190913093000','20190921200000'],
          'status': ['Opened','Opened','Closed']
          }

df = pd.DataFrame(values, columns = ['dates','status'])

df['dates'] = pd.to_datetime(df['dates'], format='%Y%m%d%H%M%S')

print (df)
print (df.dtypes)