/// /// 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 } }