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).
