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How to display the days of the week for a particular year using Pandas?

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  • Last Updated : 29 Aug, 2020

Given the day and the year. The task is to display all the days of the week of the given year. It can be found using the pandas.date_range() function. This function is used to get a fixed frequency DatetimeIndex.

Syntax: pandas.date_range(start=None, end=None, periods=None, freq=None, tz=None, normalize=False, name=None, closed=None, **kwargs)

Approach:

  • Import pandas module
  • Create a  parameter function for computing the time series.
  • Generate sequences of fixed-frequency dates with pandas.date_range() within the function
  • Store into the pandas series within the function
  • And return the all-day of date

Below is the implementation.

Python3




# importing module
import pandas as pd
  
  
# User define function
def Time_series(day, yy):
    date_range = pd.date_range(yy+'-01-01', periods=52, freq=day)
    result = pd.Series(date_range)
    print(f"All { day[2:] } in " + yy + ":")
    print(result)
  
  
# Input from user
day = "wed"
yy = "2020"
  
# Check the day form input variable
if day == 'monday' or day == 'mon':
    Time_series('W-mon', yy)
elif day == 'tuesday' or day == 'tue':
    Time_series('W-tue', yy)
elif day == 'wednesday' or day == 'wed':
    Time_series('W-wed', yy)
elif day == 'thursday' or day == 'thu':
    Time_series('W-thu', yy)
elif day == 'friday' or day == 'fri':
    Time_series('W-fri', yy)
elif day == 'saturday' or day == 'sat':
    Time_series('W-fri', yy)
else:
    Time_series('W-sun', yy)

Output :

All wed in 2020:
0    2020-01-01
1    2020-01-08
2    2020-01-15
3    2020-01-22
4    2020-01-29
5    2020-02-05
6    2020-02-12
7    2020-02-19
8    2020-02-26
9    2020-03-04
10   2020-03-11
11   2020-03-18
12   2020-03-25
13   2020-04-01
14   2020-04-08
15   2020-04-15
16   2020-04-22
17   2020-04-29
18   2020-05-06
19   2020-05-13
20   2020-05-20
21   2020-05-27
22   2020-06-03
23   2020-06-10
24   2020-06-17
25   2020-06-24
26   2020-07-01
27   2020-07-08
28   2020-07-15
29   2020-07-22
30   2020-07-29
31   2020-08-05
32   2020-08-12
33   2020-08-19
34   2020-08-26
35   2020-09-02
36   2020-09-09
37   2020-09-16
38   2020-09-23
39   2020-09-30
40   2020-10-07
41   2020-10-14
42   2020-10-21
43   2020-10-28
44   2020-11-04
45   2020-11-11
46   2020-11-18
47   2020-11-25
48   2020-12-02
49   2020-12-09
50   2020-12-16
51   2020-12-23
dtype: datetime64[ns]

Note: Periods 52 because the total number of days in a year is 365 then each day will repeat 52 times (365/7=52).


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