Answers for "parse_dates format pandas"

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)

parse_dates format pandas

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

date parser python pandas

import pandas as pd

values = {'dates':  ['20190902','20190913','20190921'],
          'status': ['Opened','Opened','Closed']
          }

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

print (df)
print (df.dtypes)

date parser python pandas

import pandas as pd

values = {'dates':  ['02Sep2019','13Sep2019','21Sep2019'],
          '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)

date parser python pandas

format='%Y%m%d%H%M%S'