I need to create a new column that calculates the age of each row in months (calculated by subtracting join_month from post_month). I was able to calculate the age in days using the below, but have struggled with calculating the age in months.
df['age'] = (df['post_month'] - (df['join_month'])).dt.days
Current dataframe looks like this:
| join_month | post_month | binary_target |
|---|---|---|
| 2018-01-01 | 2018-04-01 | 1 |
| 2018-01-01 | 2018-04-01 | 1 |
| 2018-01-01 | 2018-04-01 | 0 |
| 2018-01-01 | 2018-04-01 | 0 |
