Suppose we need to find out all the Sundays in the year 2020. Then we use the panda module for that. If we need to find the time-series to display all Sundays, we use panda. Series() class, which is a 1-D labeled array capable of holding any data.
Syntax: pandas.Series(data=None, index=None, dtype=None, name=None, copy=False, fastpath=False)
Return: Series object
For knowing more about the panda series click here.
Also, we use panda’s data_range() function for specifying our exact need. This method is used as a general function that returns 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)
Return: Return a fixed frequency DatetimeIndex.
For digging more into the data_range() function click here.
Now, we will see the program.
Code:
Python3
# import pandas library import pandas as pd # create s series of all sundays result = pd.Series(pd.date_range('2020-01-01', periods = 52, freq = 'W-SUN')) print("All Sundays in 2020:") # show the series print(result) |
Output:
All Sundays in 2020: 0 2020-01-05 1 2020-01-12 2 2020-01-19 3 2020-01-26 4 2020-02-02 5 2020-02-09 6 2020-02-16 7 2020-02-23 8 2020-03-01 9 2020-03-08 10 2020-03-15 11 2020-03-22 12 2020-03-29 13 2020-04-05 14 2020-04-12 15 2020-04-19 16 2020-04-26 17 2020-05-03 18 2020-05-10 19 2020-05-17 20 2020-05-24 21 2020-05-31 22 2020-06-07 23 2020-06-14 24 2020-06-21 25 2020-06-28 26 2020-07-05 27 2020-07-12 28 2020-07-19 29 2020-07-26 30 2020-08-02 31 2020-08-09 32 2020-08-16 33 2020-08-23 34 2020-08-30 35 2020-09-06 36 2020-09-13 37 2020-09-20 38 2020-09-27 39 2020-10-04 40 2020-10-11 41 2020-10-18 42 2020-10-25 43 2020-11-01 44 2020-11-08 45 2020-11-15 46 2020-11-22 47 2020-11-29 48 2020-12-06 49 2020-12-13 50 2020-12-20 51 2020-12-27 dtype: datetime64[ns]
