REMOVEFILTERS

Clear filters from the specified tables or columns.

Syntax

REMOVEFILTERS([<table> | <column>[, <column>[, <column>[,…]]]])

Parameters

Term	Definition
table	The table that you want to clear filters on.
column	The column that you want to clear filters on.

Return value

N/A. See remarks.

Remarks

• REMOVEFILTERS can only be used to clear filters but not to return a table.

• This function is not supported for use in DirectQuery mode when used in calculated columns or row-level security (RLS) rules.

Example 1

DAX query

DEFINE
MEASURE FactInternetSales[TotalSales] = SUM(FactInternetSales[SalesAmount])
MEASURE FactInternetSales[%Sales] = DIVIDE([TotalSales], CALCULATE([TotalSales],REMOVEFILTERS()))

EVALUATE
    SUMMARIZECOLUMNS(
      ROLLUPADDISSUBTOTAL(DimProductCategory[EnglishProductCategoryName], "IsGrandTotal"),
      "TotalSales", [TotalSales],
      "%Sales", [%Sales]
    )
ORDER BY
  [IsGrandTotal] DESC, [TotalSales] DESC 

Returns

DimProductCategory[EnglishProductCategoryName]	[IsGrandTotal]	[TotalSales]	[%Sales]
Row1	True	29358677.2207	1
Bikes	False	28318144.6507	0.964557920570538
Accessories	False	700759.96	0.023868921434441
Clothing	False	339772.61	0.0115731579950215

Example 2

DAX query

DEFINE
MEASURE FactInternetSales[TotalSales] = SUM(FactInternetSales[SalesAmount])
MEASURE FactInternetSales[%Sales] = DIVIDE([TotalSales], CALCULATE([TotalSales],REMOVEFILTERS(DimProductSubcategory[EnglishProductSubcategoryName])))

EVALUATE
    SUMMARIZECOLUMNS(
      DimProductCategory[EnglishProductCategoryName],
      DimProductSubcategory[EnglishProductSubcategoryName],
      "TotalSales", [TotalSales],
      "%Sales", [%Sales]
    )
ORDER BY
  DimProductCategory[EnglishProductCategoryName] ASC,
  DimProductSubcategory[EnglishProductSubcategoryName] ASC

Returns

DimProductCategory [EnglishProductCategoryName]	DimProductSubcategory [EnglishProductSubcategoryName]	[TotalSales]	[%Sales]
Accessories	Bike Racks	39360	0.05616759
Accessories	Bike Stands	39591	0.05649723
Accessories	Bottles and Cages	56798.19	0.08105228
Accessories	Cleaners	7218.6	0.0103011
Accessories	Fenders	46619.58	0.06652717
Accessories	Helmets	225335.6	0.3215589
Accessories	Hydration Packs	40307.67	0.05751994
Accessories	Tires and Tubes	245529.32	0.35037578
Bikes	Mountain Bikes	9952759.564	0.35146228
Bikes	Road Bikes	14520584.04	0.51276608
Bikes	Touring Bikes	3844801.05	0.13577164
Clothing	Caps	19688.1	0.05794493
Clothing	Gloves	35020.7	0.10307099
Clothing	Jerseys	172950.68	0.5090189
Clothing	Shorts	71319.81	0.20990453
Clothing	Socks	5106.32	0.01502864
Clothing	Vests	35687	0.10503201