Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
This is the table I have
| PurchaseOrderNo | ItemCode | ItemCodeDesc | QuantityOrdered | QuantityReceived | QuantityBackordered | QuantityInvoiced | RequiredDate | PODATE | Received |
| 0096942 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 25 | 25 | 0 | 25 | 7/15/2020 | 3/20/2020 0:00 | R |
| 0096942 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 525 | 525 | 0 | 525 | 9/1/2020 | 3/20/2020 0:00 | R |
| 0096942 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 500 | 500 | 0 | 500 | 8/3/2020 | 3/20/2020 0:00 | R |
| 0099002 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 200 | 200 | 0 | 28 | 5/24/2021 | 2/4/2021 0:00 | R |
| 0099002 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 200 | 200 | 0 | 200 | 5/24/2021 | 2/4/2021 0:00 | R |
| 0099002 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 200 | 200 | 0 | 200 | 5/24/2021 | 2/4/2021 0:00 | R |
| 0099749 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 350 | 350 | 0 | 350 | 6/15/2021 | 4/29/2021 0:00 | R |
| 0099749 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 305 | 305 | 0 | 305 | 7/15/2021 | 4/29/2021 0:00 | R |
| 0100522 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 350 | 350 | 0 | 350 | 9/29/2021 | 6/29/2021 0:00 | R |
| 0100522 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 350 | 350 | 0 | 350 | 9/29/2021 | 6/29/2021 0:00 | R |
| 0101841 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 400 | 400 | 0 | 400 | 5/4/2022 | 10/27/2021 0:00 | R |
| 0101841 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 400 | 400 | 0 | 400 | 5/4/2022 | 10/27/2021 0:00 | R |
| 0102776 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 300 | 300 | 0 | 300 | 4/26/2022 | 12/29/2021 0:00 | R |
| 0102776 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 300 | 300 | 0 | 300 | 4/26/2022 | 12/29/2021 0:00 | R |
| 0103509 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 250 | 250 | 0 | 250 | 4/15/2022 | 2/28/2022 0:00 | R |
| 0103509 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 250 | 250 | 0 | 250 | 6/17/2022 | 2/28/2022 0:00 | R |
| 0103509 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 250 | 250 | 0 | 0 | 8/1/2022 | 2/28/2022 0:00 | R |
| 0103509 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 250 | 250 | 0 | 500 | 7/11/2022 | 2/28/2022 0:00 | R |
| 0105254 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 550 | 550 | 0 | 550 | 11/30/2022 | 8/8/2022 0:00 | R |
| 0105254 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 550 | 550 | 0 | 550 | 11/30/2022 | 8/8/2022 0:00 | R |
| 0106527 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 500 | 0 | 0 | 0 | 2/28/2023 | 1/4/2023 0:00 | |
| 0106527 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 250 | 0 | 0 | 0 | 6/30/2023 | 1/4/2023 0:00 | |
| 0106527 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 250 | 0 | 0 | 0 | 9/1/2023 | 1/4/2023 0:00 |
I need to add an index that will index by the Requireddate and PO Number itemcode. So I would expect my results to look like this:
| PurchaseOrderNo | ItemCode | ItemCodeDesc | QuantityOrdered | QuantityReceived | QuantityBackordered | QuantityInvoiced | RequiredDate | PODATE | Received | Index |
| 0096942 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 25 | 25 | 0 | 25 | 7/15/2020 | 3/20/2020 0:00 | R | 1 |
| 0096942 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 525 | 525 | 0 | 525 | 9/1/2020 | 3/20/2020 0:00 | R | 2 |
| 0096942 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 500 | 500 | 0 | 500 | 8/3/2020 | 3/20/2020 0:00 | R | 3 |
| 0099002 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 200 | 200 | 0 | 28 | 5/24/2021 | 2/4/2021 0:00 | R | 1 |
| 0099002 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 200 | 200 | 0 | 200 | 5/24/2021 | 2/4/2021 0:00 | R | 2 |
| 0099002 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 200 | 200 | 0 | 200 | 5/24/2021 | 2/4/2021 0:00 | R | 3 |
| 0099749 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 350 | 350 | 0 | 350 | 6/15/2021 | 4/29/2021 0:00 | R | 1 |
| 0099749 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 305 | 305 | 0 | 305 | 7/15/2021 | 4/29/2021 0:00 | R | 2 |
| 0100522 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 350 | 350 | 0 | 350 | 9/29/2021 | 6/29/2021 0:00 | R | 1 |
| 0100522 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 350 | 350 | 0 | 350 | 9/29/2021 | 6/29/2021 0:00 | R | 2 |
| 0101841 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 400 | 400 | 0 | 400 | 5/4/2022 | 10/27/2021 0:00 | R | 1 |
| 0101841 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 400 | 400 | 0 | 400 | 5/4/2022 | 10/27/2021 0:00 | R | 2 |
| 0102776 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 300 | 300 | 0 | 300 | 4/26/2022 | 12/29/2021 0:00 | R | 1 |
| 0102776 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 300 | 300 | 0 | 300 | 4/26/2022 | 12/29/2021 0:00 | R | 2 |
| 0103509 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 250 | 250 | 0 | 250 | 4/15/2022 | 2/28/2022 0:00 | R | 1 |
| 0103509 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 250 | 250 | 0 | 250 | 6/17/2022 | 2/28/2022 0:00 | R | 2 |
| 0103509 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 250 | 250 | 0 | 0 | 8/1/2022 | 2/28/2022 0:00 | R | 3 |
| 0103509 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 250 | 250 | 0 | 500 | 7/11/2022 | 2/28/2022 0:00 | R | 4 |
| 0105254 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 550 | 550 | 0 | 550 | 11/30/2022 | 8/8/2022 0:00 | R | 1 |
| 0105254 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 550 | 550 | 0 | 550 | 11/30/2022 | 8/8/2022 0:00 | R | 2 |
| 0106527 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 500 | 0 | 0 | 0 | 2/28/2023 | 1/4/2023 0:00 | 1 | |
| 0106527 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 250 | 0 | 0 | 0 | 6/30/2023 | 1/4/2023 0:00 | 2 | |
| 0106527 | 05-060 | SET SPRING, .177 DIA 17-7 STA | 250 | 0 | 0 | 0 | 9/1/2023 | 1/4/2023 0:00 | 3 |
Is this possible to do?
Solved! Go to Solution.
Hi , @Anonymous
According to your description, you want to "add an index that will index by the Requireddate and PO Number itemcode".
For your data , in the [RequiredDate] has the same date , if in the normal rankx logic,it will returns 1 :
If this meet your need , you just need to click "New Column" and enter this:
Column = RANKX( FILTER('Table','Table'[PurchaseOrderNo]=EARLIER('Table'[PurchaseOrderNo]) && 'Table'[ItemCode] = EARLIER('Table'[ItemCode])) , [RequiredDate] ,,ASC,Dense)
If you need to judge the row number for your data , you need to add an index column in Power Query Editor:
Then you can click "New Column" and enter:
Column 2 = RANKX( FILTER('Table','Table'[PurchaseOrderNo]=EARLIER('Table'[PurchaseOrderNo]) && 'Table'[ItemCode] = EARLIER('Table'[ItemCode])) , [RequiredDate]+[Index] ,,ASC,Dense)
Then we can get the result:
Thank you for your time and sharing, and thank you for your support and understanding of PowerBI!
Best Regards,
Aniya Zhang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
Hi , @Anonymous
According to your description, you want to "add an index that will index by the Requireddate and PO Number itemcode".
For your data , in the [RequiredDate] has the same date , if in the normal rankx logic,it will returns 1 :
If this meet your need , you just need to click "New Column" and enter this:
Column = RANKX( FILTER('Table','Table'[PurchaseOrderNo]=EARLIER('Table'[PurchaseOrderNo]) && 'Table'[ItemCode] = EARLIER('Table'[ItemCode])) , [RequiredDate] ,,ASC,Dense)
If you need to judge the row number for your data , you need to add an index column in Power Query Editor:
Then you can click "New Column" and enter:
Column 2 = RANKX( FILTER('Table','Table'[PurchaseOrderNo]=EARLIER('Table'[PurchaseOrderNo]) && 'Table'[ItemCode] = EARLIER('Table'[ItemCode])) , [RequiredDate]+[Index] ,,ASC,Dense)
Then we can get the result:
Thank you for your time and sharing, and thank you for your support and understanding of PowerBI!
Best Regards,
Aniya Zhang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 38 | |
| 37 | |
| 33 | |
| 32 | |
| 29 |
| User | Count |
|---|---|
| 132 | |
| 88 | |
| 82 | |
| 68 | |
| 64 |