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Create a Pandas TimeSeries to display all the Sundays of given year

  • Last Updated : 28 Jul, 2020

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]

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