How do you give a date range then have that daterange be appended to the dataframe?

Issue

I know how to generate a daterange using this code:

pd.date_range(start='2022-10-16', end='2022-10-19')

How do I get the daterange result above and loop through every locations in the below dataframe?

+----------+
| Location |
+----------+
| A        |
| B        |
| C        |
+----------+

This is the result I want.

+----------+------------+
| Location |    Date    |
+----------+------------+
| A        | 2022/10/16 |
| A        | 2022/10/17 |
| A        | 2022/10/18 |
| A        | 2022/10/19 |
| B        | 2022/10/16 |
| B        | 2022/10/17 |
| B        | 2022/10/18 |
| B        | 2022/10/19 |
| C        | 2022/10/16 |
| C        | 2022/10/17 |
| C        | 2022/10/18 |
| C        | 2022/10/19 |
+----------+------------+

I have spent the whole day figuring this out. Any help would be appreciated!

Solution

You seem to be looking for a cartesian product of two iterables, which is something itertools.product can do. Take a look at this article.

In your case, you can try:

import pandas as pd
from itertools import product

# Test data:
df = pd.DataFrame(['A', 'B', 'C'], columns=['Location'])
dr = pd.date_range(start='2022-10-16', end='2022-10-19')

# Create the cartesian product:
res_df = pd.DataFrame(product(df['Location'], dr), columns=['Location', 'Date'])
print(res_df)

Answered By – BorrajaX

Answer Checked By – Willingham (AngularFixing Volunteer)