Skip to content

RAHMANS15/Python-datetime-module

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 

Repository files navigation

Python-datetime-module

Python datetime module

#import libraries import numpy as np import pandas as pd import matplotlib.pyplot as plt import datetime from datetime import date

read the Dataset

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()

Convert time stamp column to date time object into date

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

Method q - Using .dt.time

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)

Date format capital or small change into format small (YY) or Capital (YYYY)

x=time.strftime("m/%d/%y")

print(x)

Datetime

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))

About

Python datetime module

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published