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

Pandas: Data Series Exercise-35 with Solution

Write a Pandas program to create a TimeSeries to display all the Sundays of given year.

Sample Solution :

Python Code :

import pandas as pd
result = pd.Series(pd.date_range('2020-01-01', periods=52, freq='W-SUN'))
print("All Sundays of 2019:")
print(result)

Sample Output:

All Sundays of 2019:
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]

Explanation:

result = pd.Series(pd.date_range('2020-01-01', periods=52, freq='W-SUN'))

The above code creates a Pandas Series object 'result' containing 52 elements, where each element represents a Sunday from a range of dates starting from '2020-01-01' and extending to 52 weeks (i.e., one year) in the future. The dates are generated using the pd.date_range() function, which creates a range of dates with a specified frequency.

Here, the frequency is set to 'W-SUN', which indicates weekly frequency on Sundays. Therefore, the resulting series contains 52 dates that fall on Sundays, with one date per week.

Finally the resulting series is printed using the print() function.

Python-Pandas Code Editor:

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