How to reproduce a spared series of dates by using an iteration method

Question

I am trying to create a column to add to an original dataset containing dates. Specifically, I was looking for a quick and smart method (any with iteration, if possible) to convert a string into a series of dates. In short, the result I expect is the following one:

2020 - 5 - 17
2020 - 12 - 12 
2021 - 2 - 13 
2022 - 5 - 17

I have tried the following code:

dates = [(2020, 5, 17), (2020, 12, 12), (2021, 2, 13), (2022, 5, 17)]

    for i in dates: 
        datetime.date(i)
        print(i)

That turns me back to the following error:

TypeError: an integer is required (got type tuple)

Could someone please suggest how to text a nice code to get what I looking for? Thanks

Answer 1

Use this:

import datetime
dates = [(2020, 5, 17), (2020, 12, 12), (2021, 2, 13), (2022, 5, 17)]
for i in dates: 
    x = datetime.date(*i)
    print(x)

Output:

2020-05-17
2020-12-12
2021-02-13
2022-05-17

---

If inserting into a dataframe:

import datetime
import pandas as pd

df = pd.DataFrame({'dates': [(2020, 5, 17), (2020, 12, 12), (2021, 2, 13), (2022, 5, 17)]})

x = []

for i in df['dates']: 
    x.append(datetime.date(*i))

df['formatted_dates'] = x