Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowJuly 28 - August 9 | Final Round of the Power BI Dataviz World Championships. This is your chance. Learn more
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
If you love stickers, then you will definitely want to check out our community sticker challenge, Barcelona edition!
Check out the July 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 28 | |
| 28 | |
| 20 | |
| 19 | |
| 19 |
| User | Count |
|---|---|
| 35 | |
| 26 | |
| 19 | |
| 18 | |
| 17 |