///
/// This file is part of ILNumerics Community Edition.
///
/// ILNumerics Community Edition - high performance computing for applications.
/// Copyright (C) 2006 - 2012 Haymo Kutschbach, http://ilnumerics.net
///
/// ILNumerics Community Edition is free software: you can redistribute it and/or modify
/// it under the terms of the GNU General Public License version 3 as published by
/// the Free Software Foundation.
///
/// ILNumerics Community Edition is distributed in the hope that it will be useful,
/// but WITHOUT ANY WARRANTY; without even the implied warranty of
/// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
/// GNU General Public License for more details.
///
/// You should have received a copy of the GNU General Public License
/// along with ILNumerics Community Edition. See the file License.txt in the root
/// of your distribution package. If not, see .
///
/// In addition this software uses the following components and/or licenses:
///
/// =================================================================================
/// The Open Toolkit Library License
///
/// Copyright (c) 2006 - 2009 the Open Toolkit library.
///
/// Permission is hereby granted, free of charge, to any person obtaining a copy
/// of this software and associated documentation files (the "Software"), to deal
/// in the Software without restriction, including without limitation the rights to
/// use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
/// the Software, and to permit persons to whom the Software is furnished to do
/// so, subject to the following conditions:
///
/// The above copyright notice and this permission notice shall be included in all
/// copies or substantial portions of the Software.
///
/// =================================================================================
///
using System;
using System.Collections.Generic;
using System.Text;
using ILNumerics.Storage;
using ILNumerics.Misc;
using ILNumerics.Exceptions;
namespace ILNumerics {
public partial class ILMath {
///
/// Mean of array along specified dimension ignoring NaN values
///
/// Input array
/// [Optional] Index of the dimension to work along. If omitted operates along the first non singleton dimension (i.e. != 1).
/// Mean of non-NaN elements along specified dimension
/// The return array has the same shape as A, but the selected dimension is reduced
/// to length 1. If A is scalar, an scalar array will be returned. On empty input, the output will be empty.
/// If A contains an all NaN vector along the specified dimension the resulting value will by NaN
/// (as the nansum of these elements is 0 divided by 0 elements)
public static ILRetArray nanmean( ILInArray A, int dim = -1) {
using (ILScope.Enter(A)) {
if (dim < 0)
dim = A.Size.WorkingDimension();
return nansum_internal(A, dim, true);
}
}
#region HYCALPER AUTO GENERATED CODE
///
/// Mean of array along specified dimension ignoring NaN values
///
/// Input array
/// [Optional] Index of the dimension to work along. If omitted operates along the first non singleton dimension (i.e. != 1).
/// Mean of non-NaN elements along specified dimension
/// The return array has the same shape as A, but the selected dimension is reduced
/// to length 1. If A is scalar, an scalar array will be returned. On empty input, the output will be empty.
/// If A contains an all NaN vector along the specified dimension the resulting value will by NaN
/// (as the nansum of these elements is 0 divided by 0 elements)
public static ILRetArray nanmean( ILInArray A, int dim = -1) {
using (ILScope.Enter(A)) {
if (dim < 0)
dim = A.Size.WorkingDimension();
return nansum_internal(A, dim, true);
}
}
///
/// Mean of array along specified dimension ignoring NaN values
///
/// Input array
/// [Optional] Index of the dimension to work along. If omitted operates along the first non singleton dimension (i.e. != 1).
/// Mean of non-NaN elements along specified dimension
/// The return array has the same shape as A, but the selected dimension is reduced
/// to length 1. If A is scalar, an scalar array will be returned. On empty input, the output will be empty.
/// If A contains an all NaN vector along the specified dimension the resulting value will by NaN
/// (as the nansum of these elements is 0 divided by 0 elements)
public static ILRetArray nanmean( ILInArray A, int dim = -1) {
using (ILScope.Enter(A)) {
if (dim < 0)
dim = A.Size.WorkingDimension();
return nansum_internal(A, dim, true);
}
}
///
/// Mean of array along specified dimension ignoring NaN values
///
/// Input array
/// [Optional] Index of the dimension to work along. If omitted operates along the first non singleton dimension (i.e. != 1).
/// Mean of non-NaN elements along specified dimension
/// The return array has the same shape as A, but the selected dimension is reduced
/// to length 1. If A is scalar, an scalar array will be returned. On empty input, the output will be empty.
/// If A contains an all NaN vector along the specified dimension the resulting value will by NaN
/// (as the nansum of these elements is 0 divided by 0 elements)
public static ILRetArray nanmean( ILInArray A, int dim = -1) {
using (ILScope.Enter(A)) {
if (dim < 0)
dim = A.Size.WorkingDimension();
return nansum_internal(A, dim, true);
}
}
#endregion HYCALPER AUTO GENERATED CODE
}
}