I want to find out the following: given a date (datetime object), what is the corresponding day of the week?

For instance, Sunday is the first day, Monday: second day.. and so on

And then if the input is something like today’s date.

Example

>>> today = datetime.datetime(2017, 10, 20)
>>> today.get_weekday()  # what I look for

The output is maybe 6 (since it’s Friday)

Use weekday() (docs):

>>> import datetime
>>> datetime.datetime.today()
datetime.datetime(2012, 3, 23, 23, 24, 55, 173504)
>>> datetime.datetime.today().weekday()
4

From the documentation:

Return the day of the week as an integer, where Monday is 0 and Sunday is 6.

If you’d like to have the date in English:

from datetime import date
import calendar
my_date = date.today()
calendar.day_name[my_date.weekday()]  #'Wednesday'

If you’d like to have the date in English:

>>> from datetime import datetime
>>> datetime.today().strftime('%A')
'Wednesday'

Read more: https://docs.python.org/2/library/datetime.html#strftime-strptime-behavior

Use date.weekday() or date.isoweekday().

I solved this for a CodeChef question.

import datetime
dt = '21/03/2012'
day, month, year = (int(x) for x in dt.split('/'))    
ans = datetime.date(year, month, day)
print (ans.strftime("%A"))

A solution whithout imports for dates after 1700/1/1

def weekDay(year, month, day):
    offset = [0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334]
    week   = ['Sunday', 
              'Monday', 
              'Tuesday', 
              'Wednesday', 
              'Thursday',  
              'Friday', 
              'Saturday']
    afterFeb = 1
    if month > 2: afterFeb = 0
    aux = year - 1700 - afterFeb
    # dayOfWeek for 1700/1/1 = 5, Friday
    dayOfWeek  = 5
    # partial sum of days betweem current date and 1700/1/1
    dayOfWeek += (aux + afterFeb) * 365                  
    # leap year correction    
    dayOfWeek += aux / 4 - aux / 100 + (aux + 100) / 400     
    # sum monthly and day offsets
    dayOfWeek += offset[month - 1] + (day - 1)               
    dayOfWeek %= 7
    return dayOfWeek, week[dayOfWeek]

print weekDay(2013, 6, 15) == (6, 'Saturday')
print weekDay(1969, 7, 20) == (0, 'Sunday')
print weekDay(1945, 4, 30) == (1, 'Monday')
print weekDay(1900, 1, 1)  == (1, 'Monday')
print weekDay(1789, 7, 14) == (2, 'Tuesday')

This is a solution if the date is a datetime object.

import datetime
def dow(date):
    days=["Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"]
    dayNumber=date.weekday()
    print days[dayNumber]

If you have dates as a string, it might be easier to do it using pandas’ Timestamp

import pandas as pd
df = pd.Timestamp("2019-04-12")
print(df.dayofweek, df.weekday_name)

Output:

4 Friday

datetime library sometimes gives errors with strptime() so I switched to dateutil library. Here’s an example of how you can use it :

from dateutil import parser
parser.parse('January 11, 2010').strftime("%a")

The output that you get from this is 'Mon'. If you want the output as ‘Monday’, use the following :

parser.parse('January 11, 2010').strftime("%A")

This worked for me pretty quickly. I was having problems while using the datetime library because I wanted to store the weekday name instead of weekday number and the format from using the datetime library was causing problems. If you’re not having problems with this, great! If you are, you cand efinitely go for this as it has a simpler syntax as well. Hope this helps.

Assuming you are given the day, month, and year, you could do:

import datetime
DayL = ['Mon','Tues','Wednes','Thurs','Fri','Satur','Sun']
date = DayL[datetime.date(year,month,day).weekday()] + 'day'
#Set day, month, year to your value
#Now, date is set as an actual day, not a number from 0 to 6.

print(date)

Say you have timeStamp: String variable, YYYY-MM-DD HH:MM:SS

step 1: convert it to dateTime function with blow code…

df['timeStamp'] = pd.to_datetime(df['timeStamp'])

Step 2 : Now you can extract all the required feature as below which will create new Column for each of the fild- hour,month,day of week,year, date

df['Hour'] = df['timeStamp'].apply(lambda time: time.hour)
df['Month'] = df['timeStamp'].apply(lambda time: time.month)
df['Day of Week'] = df['timeStamp'].apply(lambda time: time.dayofweek)
df['Year'] = df['timeStamp'].apply(lambda t: t.year)
df['Date'] = df['timeStamp'].apply(lambda t: t.day)

If you have reason to avoid the use of the datetime module, then this function will work.

Note: The change from the Julian to the Gregorian calendar is assumed to have occurred in 1582. If this is not true for your calendar of interest then change the line if year > 1582: accordingly.

def dow(year,month,day):
    """ day of week, Sunday = 1, Saturday = 7
     http://en.wikipedia.org/wiki/Zeller%27s_congruence """
    m, q = month, day
    if m == 1:
        m = 13
        year -= 1
    elif m == 2:
        m = 14
        year -= 1
    K = year % 100    
    J = year // 100
    f = (q + int(13*(m + 1)/5.0) + K + int(K/4.0))
    fg = f + int(J/4.0) - 2 * J
    fj = f + 5 - J
    if year > 1582:
        h = fg % 7
    else:
        h = fj % 7
    if h == 0:
        h = 7
    return h

If you’re not solely reliant on the datetime module, calendar might be a better alternative. This, for example, will provide you with the day codes:

calendar.weekday(2017,12,22);

And this will give you the day itself:

days = ["Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"]
days[calendar.weekday(2017,12,22)]

Or in the style of python, as a one liner:

["Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"][calendar.weekday(2017,12,22)]

We can take help of Pandas:

import pandas as pd

As mentioned above in the problem We have:

datetime(2017, 10, 20)

If execute this line in the jupyter notebook we have an output like this:

datetime.datetime(2017, 10, 20, 0, 0)

Using weekday() and weekday_name:

If you want weekdays in integer number format then use:

pd.to_datetime(datetime(2017, 10, 20)).weekday()

The output will be:

4

And if you want it as name of the day like Sunday, Monday, Friday, etc you can use:

pd.to_datetime(datetime(2017, 10, 20)).weekday_name

The output will be:

'Friday'

If having a dates column in Pandas dataframe then:

Now suppose if you have a pandas dataframe having a date column like this: pdExampleDataFrame[‘Dates’].head(5)

0   2010-04-01
1   2010-04-02
2   2010-04-03
3   2010-04-04
4   2010-04-05
Name: Dates, dtype: datetime64[ns]

Now If we want to know the name of the weekday like Monday, Tuesday, ..etc we can use .weekday_name as follows:

pdExampleDataFrame.head(5)['Dates'].dt.weekday_name

the output will be:

0    Thursday
1      Friday
2    Saturday
3      Sunday
4      Monday
Name: Dates, dtype: object

And if we want the integer number of weekday from this Dates column then we can use:

pdExampleDataFrame.head(5)['Dates'].apply(lambda x: x.weekday())

The output will look like this:

0    3
1    4
2    5
3    6
4    0
Name: Dates, dtype: int64

import datetime
import calendar

day, month, year = map(int, input().split())
my_date = datetime.date(year, month, day)
print(calendar.day_name[my_date.weekday()])

Output Sample

08 05 2015
Friday

import datetime
int(datetime.datetime.today().strftime('%w'))+1

this should give you your real day number – 1 = sunday, 2 = monday, etc…

To get Sunday as 1 through Saturday as 7, this is the simplest solution to your question:

datetime.date.today().toordinal()%7 + 1

All of them:

import datetime

today = datetime.date.today()
sunday = today - datetime.timedelta(today.weekday()+1)

for i in range(7):
    tmp_date = sunday + datetime.timedelta(i)
    print tmp_date.toordinal()%7 + 1, '==', tmp_date.strftime('%A')

Output:

1 == Sunday
2 == Monday
3 == Tuesday
4 == Wednesday
5 == Thursday
6 == Friday
7 == Saturday

here is how to convert a listof dates to date

import datetime,time
ls={'1/1/2007','1/2/2017'}
dt=datetime.datetime.strptime(ls[1], "%m/%d/%Y")
print(dt)
print(dt.month)
print(dt.year)

Using Canlendar Module

import calendar
a=calendar.weekday(year,month,day)
days=["MONDAY","TUESDAY","WEDNESDAY","THURSDAY","FRIDAY","SATURDAY","SUNDAY"]
print(days[a])

Here is my python3 implementation.

months = {'jan' : 1, 'feb' : 4, 'mar' : 4, 'apr':0, 'may':2, 'jun':5, 'jul':6, 'aug':3, 'sep':6, 'oct':1, 'nov':4, 'dec':6}
dates = {'Sunday':1, 'Monday':2, 'Tuesday':3, 'Wednesday':4, 'Thursday':5, 'Friday':6, 'Saterday':0}
ranges = {'1800-1899':2, '1900-1999':0, '2000-2099':6, '2100-2199':4, '2200-2299':2}

def getValue(val, dic):
    if(len(val)==4):
        for k,v in dic.items():
            x,y=int(k.split('-')[0]),int(k.split('-')[1])
            val = int(val)
            if(val>=x and val<=y):
                return v
    else:
        return dic[val]

def getDate(val):
    return (list(dates.keys())[list(dates.values()).index(val)]) 



def main(myDate):
    dateArray = myDate.split('-')
    # print(dateArray)
    date,month,year = dateArray[2],dateArray[1],dateArray[0]
    # print(date,month,year)

    date = int(date)
    month_v = getValue(month, months)
    year_2 = int(year[2:])
    div = year_2//4
    year_v = getValue(year, ranges)
    sumAll = date+month_v+year_2+div+year_v
    val = (sumAll)%7
    str_date = getDate(val)

    print('{} is a {}.'.format(myDate, str_date))

if __name__ == "__main__":
    testDate = '2018-mar-4'
    main(testDate)

use this code:

import pandas as pd
from datetime import datetime
print(pd.DatetimeIndex(df['give_date']).day)

import numpy as np

def date(df):

df['weekday'] = df['date'].dt.day_name()

conditions = [(df['weekday'] == 'Sunday'),
          (df['weekday'] == 'Monday'),
          (df['weekday'] == 'Tuesday'),
          (df['weekday'] == 'Wednesday'),
          (df['weekday'] == 'Thursday'),
          (df['weekday'] == 'Friday'),
          (df['weekday'] == 'Saturday')]

choices = [0, 1, 2, 3, 4, 5, 6]

df['week'] = np.select(conditions, choices)

return df