Join us for an expert-led overview of the tools and concepts you'll need to pass exam PL-300. The first session starts on June 11th. See you there!
Get registeredPower BI is turning 10! Let’s celebrate together with dataviz contests, interactive sessions, and giveaways. Register now.
Hi,
I have a table as below
I would like to filter out the orders made by buyer XXX but only in 2023. So it beomces like below table.
When I just filter out XXX in power query, it becomes like below
Is there any Power M, that can command to filter for certain data range??
Solved! Go to Solution.
I am sorry I misread your sentence.
I think the trick is to use "each not". So first write a select statement that will only keep the rows of buyer=XXX and date in 2023 and then negate it with the "not" operator.
let
Source = #table(
{"Date","Delivered Qnt.", "PO No.", "Buyer"},
{
{"2023/01/01", 25, "1", "XXX"},
{"2021/01/01", 53, "2", "XXX"},
{"2022/01/01", 25, "3", "YYY"},
{"2021/01/01", 15, "4", "ZZZ"}
}
),
#"Changed column type" = Table.TransformColumnTypes(Source, {{"Date", type date}, {"Delivered Qnt.", Int64.Type}, {"PO No.", Int64.Type}, {"Buyer", type text}}),
// Keep rows where not buyer=xxx and date in 2023
#"Filtered rows" = Table.SelectRows(#"Changed column type", each not (([Buyer] = "XXX") and ([Date] >= #date(2023, 1, 1) and [Date] <= #date(2024, 1, 1))))
in
#"Filtered rows"
To add the date filter:
You can click on the small arrow symbol next to your column header for "Date", then select "Date filters", then "After..." and follow the instructions there to set your cut-off date.
This way Power Query will first apply your Buyer="XXX" filter and then add the Date>="2023/01/01" filter. You can think of it as a sequence of steps that lead to the end result of the desired table.
This will generate code similar to this:
let
Source = #table(
{"Data","Delivered Qnt.", "PO No.", "Buyer"},
{
{"2023/01/01", 25, "1", "XXX"},
{"2021/01/01", 53, "2", "XXX"},
{"2022/01/01", 25, "3", "YYY"},
{"2021/01/01", 15, "4", "ZZZ"}
}
),
#"Changed column type" = Table.TransformColumnTypes(Source, {{"Data", type date}, {"Delivered Qnt.", Int64.Type}, {"PO No.", Int64.Type}, {"Buyer", type text}}),
// Filter by Buyer
#"Filtered rows" = Table.SelectRows(#"Changed column type", each ([Buyer] = "XXX")),
// Filter Date >= 01/01/2023
#"Filtered rows 1" = Table.SelectRows(#"Filtered rows", each [Data] >= #date(2023, 1, 1))
in
#"Filtered rows 1"
Thanks @WanderingBI
I think this will just filter out specific buyers regardless of date. I dont want that..
I want to apply the BUYER filter in specific period.
I am sorry I misread your sentence.
I think the trick is to use "each not". So first write a select statement that will only keep the rows of buyer=XXX and date in 2023 and then negate it with the "not" operator.
let
Source = #table(
{"Date","Delivered Qnt.", "PO No.", "Buyer"},
{
{"2023/01/01", 25, "1", "XXX"},
{"2021/01/01", 53, "2", "XXX"},
{"2022/01/01", 25, "3", "YYY"},
{"2021/01/01", 15, "4", "ZZZ"}
}
),
#"Changed column type" = Table.TransformColumnTypes(Source, {{"Date", type date}, {"Delivered Qnt.", Int64.Type}, {"PO No.", Int64.Type}, {"Buyer", type text}}),
// Keep rows where not buyer=xxx and date in 2023
#"Filtered rows" = Table.SelectRows(#"Changed column type", each not (([Buyer] = "XXX") and ([Date] >= #date(2023, 1, 1) and [Date] <= #date(2024, 1, 1))))
in
#"Filtered rows"
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
16 | |
10 | |
10 | |
8 | |
7 |