ILNumerics - Technical Application Development
Assembly: ILNumerics.numpy (in ILNumerics.numpy.dll) Version: 5.5.0.0 (5.5.7503.3146)
Logical array with the same shape of A, except dimension 'axis' which is reduced / expanded to length 1.
[numpy API] Tests for any elements of A being non-zero.
[ILNumerics numpy Module]
Namespace: ILNumerics
Assembly: ILNumerics.numpy (in ILNumerics.numpy.dll) Version: 5.5.0.0 (5.5.7503.3146)
Syntax
public static RetLogical any( this ConcreteArray<uint, Array<uint>, InArray<uint>, OutArray<uint>, RetArray<uint>, Storage<uint>> A, int axis, bool keepdims = false )
Parameters
- A
- Type: ILNumerics.Core.Arrays.ConcreteArray<UInt32, Array<UInt32>, InArray<UInt32>, OutArray<UInt32>, RetArray<UInt32>, Storage<UInt32>>
The source array. This will not be altered. - axis
- Type: System.Int32
The dimension of A to work along. - keepdims (Optional)
- Type: System.Boolean
[Optional] the reduced dimension axis remains in the resulting array. Default: (false) the dimension axis is removed from the result.
Return Value
Type: RetLogicalLogical array with the same shape of A, except dimension 'axis' which is reduced / expanded to length 1.
Usage Note
In Visual Basic and C#, you can call this method as an instance method on any object of type ConcreteArray<UInt32, Array<UInt32>, InArray<UInt32>, OutArray<UInt32>, RetArray<UInt32>, Storage<UInt32>>. When you use instance method syntax to call this method, omit the first parameter. For more information, see Extension Methods (Visual Basic) or Extension Methods (C# Programming Guide).Exceptions
Exception | Condition |
---|---|
ArgumentException | if axis is smaller than -A.S.NumberOfDimensions or larger or equal to A.S.NumberOfDimensions. |
Remarks
Depending on the value of keepdims the array returned will have the same number of dimensions as A (keepdims = true) or with a number of dimensions according to MinNumberOfArrayDimensions (keepdims = false).
Empty arrays A produce a scalar array with the default element value for the element data type.
[ILNumerics numpy Module]
See Also