Forum Discussion
Images/ Pictures as Headers in Power BI Desktop Matrix Visual - How to reduce spacing
Hello everyone,
I added images with a Base 64 encoding to a column header of a Power BI Desktop Matrix Visual.
But I do not know how to reduce the space of the heading row and want to know how to do it. The images have all the size 50px x 50px.
This is how the matrix look like with the spacing:
The two used tables are created in Powr Query like this way:
let
Source = #table(
type table [
Category = text,
#"Agency Group" = text,
Value = Int64.Type
],
{
{"Category 1", "A", 100},
{"Category 1", "B", 200},
{"Category 1", "C", 300},
{"Category 2", "A", 400},
{"Category 2", "B", 500},
{"Category 2", "C", 600}
}
)
in
Source
let
Source = #table(
type table [
#"Agency Group" = text,
#"Agency Group Sort" = Int64.Type,
#"Base 64 Image" = text
],
{
{"A", 1, "data:image/png;base64, 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"},
{"B", 2, "data:image/png;base64, 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"},
{"C", 3, "data:image/png;base64, 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"}
}
)
in
Source
The relation of the tables looks like this:
And the configuration of the matrix visual looks like this:
Every help will be appreciated.
Kind regards
4 Replies
- GeraldGEmerick
Memorable Member
- grazitti_sapna
Super User
Hi Friedrich90 ,
You can reduce the padding by followig the below steps:-Go to your Matrix visual โ Format pane โ Grid
Then check these:-
Row padding: Set to the minimum (
0 pxor2 px). -
Column headers > Text size: Reduce (even though your header is an image, this still influences row height).
-
Column headers > Auto-size width: Turn off.
-
Column headers > Padding (if available): Set to
0.
Also, you can decrease the size of your original image to 30*30 or 35*35 before encoding.
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- Friedrich90Frequent Visitor
Thanks to GeraldGEmerick and GeraldGEmerick for your support. To reduce the Image Size how GeraldGEmerick mentioned was exactly what I am looking for. Thanks ๐
- Friedrich90Frequent Visitor
To make my post complete, the prefix for the base 64 images is data:image/png;base64, in my first post the website changed the colon.