I need to add a column that Sums the value column of all columns that have a common id. However, any id = null is not summed, but equal to the value column.
The above example should result in:
TopPaymendId JournalLineNetAmount TopAmount
fcbcd407-ca26-4ea0-839a-c39767d05403 -3623.98 -7061.23
fcbcd407-ca26-4ea0-839a-c39767d05403 -3437.25 -7061.23
ce77faac-1638-40e9-ad62-be1813ce9031 -88.68 -88.68
531d9bde-3f52-47f3-a9cf-6f3566733af2 -152.23 -152.23
8266dfef-dd14-4654-a6d2-091729defde7 229.42 229.42
f8b97a47-15ef-427d-95e0-ce23cc8efb1f -777 -777
null -3.01 -3.01
null -2.94 -2.94
null 3312.5 3312.5
This code should work:
let
Source = Excel.CurrentWorkbook(){[Name="Data"]}[Content],
group = Table.Group(Source, {"TopPaymendId"}, {"TopAmount", each List.Sum([JournalLineNetAmount])}),
join = Table.Join(Source,{"TopPaymendId"},group,{"TopPaymendId"}),
replace = Table.ReplaceValue(join,each [TopAmount],each if [TopPaymendId] = null
then [JournalLineNetAmount] else [TopAmount],Replacer.ReplaceValue,{"TopAmount"})
in
replace
Related
I'm trying to adjust some columns with negative values in my table, I want to all negative values be changed to 0,
The only problem is that the columns keep changing their names, so I would like to be able to make such adjustment based on column position,
For example, the columns are located in 3 and 4 position,
I have created a conditional column to adjust the negatives volumes,
#"New Column" = Table.AddColumn(#Previous Step", "New Column", each if OldColumnName < 0 then 0 else NewColumn),
Is there a way to make this conditional column based on the OldColumn position, and not by its name?
add column, custom column with formula
= if Record.Field(_,Table.ColumnNames(Source){2})<0 then 0 else Record.Field(_,Table.ColumnNames(Source){2})
or
= if Record.Field(_,Table.ColumnNames(Source){2})<0 then 0 else [some other column])
where {2} is the position in column names
Sample to transform in place to remove negatives
Stepname = Table.TransformColumns(#"PriorStepNameHere",{{Table.ColumnNames(#"PriorStepNameHere"){2}, each if _<0 then 0 else _, Int64.Type}})
for multiple column transformations
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
ColumnsToTransform = {Table.ColumnNames(Source){2},Table.ColumnNames(Source){3}},
#"MultipleTransform" = Table.TransformColumns(Source, List.Transform(ColumnsToTransform,(x)=>{x, each if _<0 then 0 else _, type number}))
in #"MultipleTransform"
I´ve been struggling with this:
My table shows 3 records but when expanding there are like 100 columns. I used this code:
#"Expanded Data" = Table.ExpandTableColumn(#"Source", "Document", List.Union(List.Transform(#"Source"[Document]), each Table.ColumnNames(_))),
but it's not working. How can I expand simultaneously all columns? Also, inside those columns there are even more, for example I expand the first time end then those new columns have more records inside.
What could I do? Thanks in advance!
Try this ExpandAllRecords function - it recursively expands every Record-type column:
https://gist.github.com/Mike-Honey/0a252edf66c3c486b69b
This should work for Records Columns.
let
ExpandIt = (TableToExpand as table, optional ColumnName as text) =>
let
ListAllColumns = Table.ColumnNames(TableToExpand),
ColumnsTotal = Table.ColumnCount(TableToExpand),
CurrentColumnIndex = if (ColumnName = null) then 0 else List.PositionOf(ListAllColumns, ColumnName),
CurrentColumnName = ListAllColumns{CurrentColumnIndex},
CurrentColumnContent = Table.Column(TableToExpand, CurrentColumnName),
IsExpandable = if List.IsEmpty(List.Distinct(List.Select(CurrentColumnContent, each _ is record))) then false else true,
FieldsToExpand = if IsExpandable then Record.FieldNames(List.First(List.Select(CurrentColumnContent, each _ is record))) else {},
ColumnNewNames = List.Transform(FieldsToExpand, each CurrentColumnName &"."& _),
ExpandedTable = if IsExpandable then Table.ExpandRecordColumn(TableToExpand, CurrentColumnName, FieldsToExpand, ColumnNewNames) else TableToExpand,
NextColumnIndex = CurrentColumnIndex+1,
NextColumnName = ListAllColumns{NextColumnIndex},
OutputTable = if NextColumnIndex > ColumnsTotal-1 then ExpandedTable else #fx_ExpandIt(ExpandedTable, NextColumnName)
in
OutputTable
in
ExpandIt
This basically takes Table to Transform as the main argument,and then one by one checks if the Column Record is expandable (if column has "records" in it, it will expand it, otherwise move to next column and checks it again).
Then it returns the Output table once everything is expanded.
This function is calling the function from inside for each iteration.
I have a table of Project:
that I would like to filter by the FIELD, OPERATOR, and VALUE columns contained in the Project Group table:
The Power Query M to apply this filter would be:
let
Source = #"Project",
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Projectid", Int64.Type}}),
#"Filtered Rows" = Table.SelectRows(#"Changed Type", each [Projectid] >= 100000 and [Projectid] <= 500000)
in
#"Filtered Rows"
Results (need to remove the error row):
How do I convert the FIELD, OPERATOR, and VALUE columns into a function that can be used as a condition for the SelectRows function?
If you need to do comparisons, might be best to first change the types of the columns (in both tables) that are being compared. Preferably to type number.
The code below assumes that:
the OPERATOR column of Project Group table can only contain: > or < and that these values should be interpreted as >= and <= respectively.
the column in Project table (that needs to be compared) can change and its name will be in the FIELD column of the Project Group. It's assumed that the name matches exactly. If this is not the case, you might need to standardise things (or at least perform a case-insensitive search) to ensure values can be mapped to column names correctly.
Based on the assumptions above, here's one approach:
let
// Dummy table for example purposes
project = Table.FromColumns({
{0..10},
{5..15}
}, type table [projectId = number, name = number]),
// Dummy table for example purposes
projectGroup = Table.FromColumns({
{"projectId", "projectId"},
{">", "<"},
{5, 7}
}, type table [FIELD = text, OPERATOR = text, VALUE = number]),
// Should take in a row from "Project" table and return a boolean
// representing whether said row matches the criteria contained
// within "Project Group" table.
selectorFunc = (projectRow as record) as logical =>
let
shouldKeepProjectRow = Table.MatchesAllRows(projectGroup, (projectGroupRow as record) =>
let
fieldNameToCheck = projectGroupRow[FIELD],
valueFromProjectRow = Record.Field(projectRow, fieldNameToCheck),
compared = if projectGroupRow[OPERATOR] = ">" then
valueFromProjectRow >= projectGroupRow[VALUE]
else
valueFromProjectRow <= projectGroupRow[VALUE]
in compared
)
in shouldKeepProjectRow,
selectedRows = Table.SelectRows(project, selectorFunc)
in
selectedRows
The main function used is Table.MatchesAllRows (https://learn.microsoft.com/en-us/powerquery-m/table-matchesallrows).
Another approach could potentially be: Expression.Evaluate: https://learn.microsoft.com/en-us/powerquery-m/expression-evaluate. However, I've not used it, so I'm not sure whether there are any "gotchas"/implications to be aware of.
I would like to do a nested if statement within powerbi, I need to have multiple if statements in one column with some returning - value depending on the if statement.
I have tried to below however theyre all coming back as false.
Calculated value = if('TableName'[ColumnName1] = "exp1" && 'TableName'[columnName2] = "exp2", 'TableName'[value]|| if('TableName'[ColumnName1] = "exp1" && 'TableName'[ColumnName2] = "exp3", - 'TableName'[value],""))
In the first if you don't have any output to the false result. I Add an extra empty value in your calculated value as below only to exemplify what you need to add:
Calculated value = if('TableName'[ColumnName1] = "exp1" && 'TableName'[columnName2] = "exp2", 'TableName'[value]|| if('TableName'[ColumnName1] = "exp1" && 'TableName'[ColumnName2] = "exp3", - 'TableName'[value],""),"")
Check the example and tell something about this, please
I've created a function that cleans my data of extra columns with null values. There should always be 15 columns after this however occasionally there is more or less and when this happens those tables should just be removed.
I've tried just skipping all those rows and returning an empty table but when I try to expand those tables I get an error "Cannot convert the value false to type Number."
(tbl as table) =>
let
ColumnNames = Table.ColumnNames(tbl),
RemoveNullColumns = Table.SelectColumns(tbl, List.Select(ColumnNames, each List.MatchesAny(Table.Column(tbl, _), each _ <> null))),
CheckColumns = Table.Skip(RemoveNullColumns, Table.ColumnCount(RemoveNullColumns) <> 15)
in
CheckColumns
See if this works for you. Removes any columns containing a null and returns tbl only if there are 15 remaining columns
(tbl as table) =>
let ColumnNames = Table.ColumnNames(tbl),
ReplacedValue = Table.ReplaceValue(tbl,null,"imanull",Replacer.ReplaceValue,ColumnNames ),
UnpivotedColumns = Table.UnpivotOtherColumns(ReplacedValue, {}, "Attribute", "Value"),
FilteredRows = Table.SelectRows(UnpivotedColumns, each ([Value] = "imanull")),
NonNullColumns= List.Difference(ColumnNames,List.Distinct(FilteredRows[Attribute])),
Results = if List.Count (NonNullColumns) <> 15 then null else Table.SelectColumns(tbl,NonNullColumns)
in Results