Python datetime module
#import libraries import numpy as np import pandas as pd import matplotlib.pyplot as plt import datetime from datetime import date
import pandas as pd df=pd.read_csv("D:\DATASCIENCE\DATA SCIENCE\DATA\Global Super Store Dataset\Global Super Store Dataset 10 rows.csv")
df
#dataset information df.info()
df["Order Date"] = pd.to_datetime(df["Order Date"]) df.info
#date fomrmat convert into object to date format df.info()
#extract the date df["Order Date"].dt.date
df
df["DATE"] = df["Order Date"].dt.date df
df.info()
import time
time.time()
time.ctime(1682309802.7635365)
help(time.time)
time.localtime()
a=time.localtime() b=time.mktime(a) print(b)
c=time.asctime(a) print(c)
help(time.strftime)
print(a)
x=time.strftime("m/%d/%Y")
print(x)
x=time.strftime("m/%d/%y")
print(x)
import datetime
print(datetime.datetime(2019,6,7,4,30,54,678))
datetime.datetime.today()
datetime.datetime.now()
v=datetime.datetime.now()
v.year
print(v.month) print(v.hour)
datetime.time(3,45,23)
b1=datetime.timedelta(days=20) b2=datetime.timedelta(days=30) b3=b1-b2 print(b3) print(type(b3))