Answers for "pandas parse_dates example"

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)

pandas read csv

df = pd.read_csv('data.csv')

pandas read csv

import pandas as pd
cereal_df = pd.read_csv("/tmp/tmp07wuam09/data/cereal.csv")
cereal_df2 = pd.read_csv("data/cereal.csv")

# Are they the same?
print(pd.DataFrame.equals(cereal_df, cereal_df2))

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)

date parser python pandas

format='%d%m%Y'

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)