I have a dataframe df as follows:
| Year | Month | Rate | |
|---|---|---|---|
| 0 | 2022 | 1 | 0.1 |
| 1 | 2022 | 2 | 0.1 |
| 2 | 2022 | 3 | 0.1 |
| 3 | 2022 | 4 | 0.1 |
| 4 | 2022 | 5 | 0.1 |
| 5 | 2022 | 6 | 0.1 |
| 6 | 2022 | 7 | 0.1 |
| 7 | 2022 | 8 | 0.1 |
| 8 | 2022 | 9 | 0.1 |
| 9 | 2022 | 10 | 0.1 |
| 10 | 2022 | 11 | 0.1 |
| 11 | 2022 | 12 | 0.1 |
| 12 | 2023 | 1 | 0.2 |
| 13 | 2023 | 2 | 0.2 |
| 14 | 2023 | 3 | 0.2 |
| 15 | 2023 | 4 | 0.2 |
| 16 | 2023 | 5 | 0.2 |
| 17 | 2023 | 6 | 0.2 |
| 18 | 2023 | 7 | 0.2 |
| 19 | 2023 | 8 | 0.2 |
| 20 | 2023 | 9 | 0.2 |
| 21 | 2023 | 10 | 0.2 |
| 22 | 2023 | 11 | 0.2 |
| 23 | 2023 | 12 | 0.2 |
I need to get the years as the column headers, so I ran the following code:
result = df.groupby([df.Month, df.Year]).sum().unstack()
Output:
| | Rate | |
|———–|———-|———-|
| Year | 2022 | 2023 |
| Month | | |
| 1 | 0.1 | 0.2 |
| 2 | 0.1 | 0.2 |
| 3 | 0.1 | 0.2 |
| 4 | 0.1 | 0.2 |
| 5 | 0.1 | 0.2 |
| 6 | 0.1 | 0.2 |
| 7 | 0.1 | 0.2 |
| 8 | 0.1 | 0.2 |
| 9 | 0.1 | 0.2 |
| 10 | 0.1 | 0.2 |
| 11 | 0.1 | 0.2 |
| 12 | 0.1 | 0.2 |
When I try to reset the index and clean up the headers, reset_index() does not seem to be working.
Here is the code I tried :
result.columns = result.columns.droplevel(0)
result.reset_index(inplace = True)
result.reset_index( drop = True)
print(result)
Output:
| Year | Month | 2022 | 2023 |
|———:|——:|—–:|—–:|
| 0 | 1 | 0.1 | 0.2 |
| 1 | 2 | 0.1 | 0.2 |
| 2 | 3 | 0.1 | 0.2 |
| 3 | 4 | 0.1 | 0.2 |
| 4 | 5 | 0.1 | 0.2 |
| 5 | 6 | 0.1 | 0.2 |
| 6 | 7 | 0.1 | 0.2 |
| 7 | 8 | 0.1 | 0.2 |
| 8 | 9 | 0.1 | 0.2 |
| 9 | 10 | 0.1 | 0.2 |
| 10 | 11 | 0.1 | 0.2 |
| 11 | 12 | 0.1 | 0.2 |
I would like to get rid of Year as the index but whatever I try, I can’t seem to get to this or even rename it to nothing
I even tried df.pivot but I run into the same problem