This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreDid you hear? There's a new SQL AI Developer certification (DP-800). Start preparing now and be one of the first to get certified. Register now
Hey guys,
I have a simple question regarding an Inner join with DAX. I am trying to replicate something that I have done in Python.
new_df = pd.merge(tableA[["ID"]],tableB, how = 'inner', on = 'ID)
new_df = new_df[new_df["Date"] >= '2018-05-31']
total_sum = new_df["Price"].sum()
I want to inner join 2 tables on a unique key,filter it by a certain date and then take the sum of the prices.
Ideally, I would like a dataframe with the "new_df" and then I would seperately calculate the "total_sum" with a DAX function.
Thanks!
Solved! Go to Solution.
Hi @Anonymous ,
It looks that you just have to have a relationship between Table A and Table B on ID, as long as one of them is a Dim table (as you don't provide a sample data).
Hope it helps.
Fernando
Hi @Anonymous ,
It looks that you just have to have a relationship between Table A and Table B on ID, as long as one of them is a Dim table (as you don't provide a sample data).
Hope it helps.
Fernando
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 34 | |
| 31 | |
| 30 | |
| 21 | |
| 16 |
| User | Count |
|---|---|
| 61 | |
| 50 | |
| 30 | |
| 23 | |
| 23 |