Date and time in python using datetime modules

 

import datetime

year_number=2021
month_number=12
date_number=27
hours_number=15
minutes_number=50
seconds_number=30

datetime.datetime(year_number, month_number, date_number, hours_number, minutes_number, seconds_number)



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import datetime

print (datetime.date.today())


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from datetime import date

print (date.today())





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from datetime import date

print (datetime.date.today().day)

print (datetime.date.today().month)

print (datetime.date.today().year)

#If you prefer to write in one sentence, write it as 

print (datetime.date.today().day,datetime.date.today().month,datetime.date.today().year)




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from datetime import date

now = date.today()

print (now.day)

print (now.month)

print (now.year)

#You can also display the previous 3 sentences in one sentence 

print (now.day, now.month, now.year)

#This code is cleaner and compact. Try to write the code in shortest way possible without affecting readability.


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from datetime import date

now = date.today()

print (now.weekday())



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Today = datetime.now()

print (Today.strftime("%a, %B, %d, %y"))





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import datetime

Today = datetime.now()

print ("Today’s date is" ,Today.strftime("%c"))



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from datetime import date,time,datetime,timedelta

Time_gap = timedelta(hours = 23, minutes = 34) 
#Time_gap is the timedelta object where we can do different calculations on it.

print ("Future time is ", str(datetime.now() + Time_gap))

date time in python

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# date time using python

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#uncomment to import library 

import pandas as pd 

import datetime as dt

#converting string into datetime 

df1 = pd.DataFrame(

     {

      "DateTime": pd.to_datetime(["2021-11-13 13:45:33",

                                  '2021-11-14 14:13:25',

                                  "2021-11-15 14:39:25", 

                                  "2021-11-16 15:16:43", 

                                  "2021-11-17 16:51:19"]),

     }

)

#split datetime into individual date and time df column

df1['Dates'] = pd.to_datetime(df1['DateTime']).dt.date

df1['Time'] = pd.to_datetime(df1['DateTime']).dt.time

#join date and time columns into a datetime column 

df1['DateTime_join'] = pd.DataFrame(

    pd.to_datetime(df1['Dates'].astype(str) + ' ' + df1['Time'].astype(str)), 

    columns=['Datetime_join']) 

print(df1)

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# date time format change

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import pandas as pd

dt = "02-11-2021"

dt1 = pd.to_datetime(dt)

dt1

#output# Timestamp('2021-02-11 00:00:00')

dt2 = pd.to_datetime(dt, format = "%d-%m-%Y")

dt2

#output# Timestamp('2021-11-02 00:00:00')

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# date time format

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import pandas as pd

dt = pd.to_datetime("02-11-2021")

dt3 = dt.strftime('%b/%d/%Y')

dt3

#output# 'Feb/11/2021'