Microsoft is giving away 50,000 FREE Microsoft Certification exam vouchers!
Enter the sweepstakes now!Prepping for a Fabric certification exam? Join us for a live prep session with exam experts to learn how to pass the exam. Register now.
I'm looking for a way to format the background colors based on a break of Fake Invoice #'s. I just need the first row colored, like the example below. I don't knnow if this is even possible.
Solved! Go to Solution.
You can try the following steps:
1. Add an index column to a table in the Power Query.
If the index column is not added, the effect in the table visualization is shown below.
2. Create several measures as follow:
Measure =
VAR _t = ADDCOLUMNS('Table', "Group", RANKX(ALL('Table'), [Fake Invoice #], [Fake Invoice #], ASC, Dense))
RETURN
SUMX(_t,[Group])
formatting = IF(ISODD([Measure]), "yellow", "green")
3. Make the Conditional Formatting settings as shown here.
Is this the result you expect?
Best Regards,
Community Support Team _Yuliax
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
You can try the following steps:
1. Add an index column to a table in the Power Query.
If the index column is not added, the effect in the table visualization is shown below.
2. Create several measures as follow:
Measure =
VAR _t = ADDCOLUMNS('Table', "Group", RANKX(ALL('Table'), [Fake Invoice #], [Fake Invoice #], ASC, Dense))
RETURN
SUMX(_t,[Group])
formatting = IF(ISODD([Measure]), "yellow", "green")
3. Make the Conditional Formatting settings as shown here.
Is this the result you expect?
Best Regards,
Community Support Team _Yuliax
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Excellent solution! Thank you.
Check out the May 2025 Power BI update to learn about new features.
Explore and share Fabric Notebooks to boost Power BI insights in the new community notebooks gallery.
User | Count |
---|---|
79 | |
72 | |
71 | |
54 | |
51 |
User | Count |
---|---|
45 | |
38 | |
33 | |
31 | |
28 |