[ILNumerics numpy Module]
Namespace: ILNumerics
Assembly: ILNumerics.numpy (in ILNumerics.numpy.dll) Version: 5.5.0.0 (5.5.7503.3146)
public static RetArray<long> nanargmin( this ConcreteArray<short, Array<short>, InArray<short>, OutArray<short>, RetArray<short>, Storage<short>> A, Nullable<int> axis = null, OutArray<short> values = null )
Parameters
- A
- Type: ILNumerics.Core.Arrays.ConcreteArray<Int16, Array<Int16>, InArray<Int16>, OutArray<Int16>, RetArray<Int16>, Storage<Int16>>
Array to compute the indices for. This is not altered. - axis (Optional)
- Type: System.Nullable<Int32>
[Optional] The working dimension. Default: (null) finds the minimum of the whole array. - values (Optional)
- Type: ILNumerics.OutArray<Int16>
[Optional] Returns the minimum values found from A also. Default: (null) minimum values are not returned.
Return Value
Type: RetArray<Int64>Usage Note
In Visual Basic and C#, you can call this method as an instance method on any object of type ConcreteArray<Int16, Array<Int16>, InArray<Int16>, OutArray<Int16>, RetArray<Int16>, Storage<Int16>>. 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).Negative dimension specifier 'axis' will be shifted into the range of valid dimension indices. -1 corresponds to the last dimension.
argmin(ConcreteArray<Int16, Array<Int16> , InArray<Int16> , OutArray<Int16> , RetArray<Int16> , Storage<Int16> > , Nullable<Int32> , OutArray<Int16> ) prioritizes NaN values over non-NaN values. I.e.: if any of the elements is NaN the respective result value will be NaN also. Conversely, nanargmin(ConcreteArray<Int16, Array<Int16>, InArray<Int16>, OutArray<Int16>, RetArray<Int16>, Storage<Int16>>, Nullable<Int32>, OutArray<Int16>), ignores NaN values and gives the minimum among the non-NaN values, if possible. This corresponds to the behavior of ILNumerics version 4, Matlab(R) a.s.f.
See min(BaseArray<Int16> , OutArray<Int64> , Int32, Boolean) for details.
[ILNumerics numpy Module]