[2] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
| 3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
| 4 | *
|
---|
| 5 | * This file is part of HeuristicLab.
|
---|
| 6 | *
|
---|
| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
| 8 | * it under the terms of the GNU General Public License as published by
|
---|
| 9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
| 10 | * (at your option) any later version.
|
---|
| 11 | *
|
---|
| 12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
| 15 | * GNU General Public License for more details.
|
---|
| 16 | *
|
---|
| 17 | * You should have received a copy of the GNU General Public License
|
---|
| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
| 19 | */
|
---|
| 20 | #endregion
|
---|
| 21 |
|
---|
| 22 | using System;
|
---|
| 23 | using System.Collections.Generic;
|
---|
| 24 | using System.Xml;
|
---|
| 25 | using HeuristicLab.Core;
|
---|
| 26 | using HeuristicLab.Data;
|
---|
| 27 | using System.Globalization;
|
---|
| 28 | using System.Text;
|
---|
[2285] | 29 | using System.Linq;
|
---|
[2] | 30 |
|
---|
| 31 | namespace HeuristicLab.DataAnalysis {
|
---|
[207] | 32 | public sealed class Dataset : ItemBase {
|
---|
[237] | 33 | private Dictionary<int, Dictionary<int, double>>[] cachedMeans;
|
---|
| 34 | private Dictionary<int, Dictionary<int, double>>[] cachedRanges;
|
---|
[2038] | 35 | private bool cachedValuesInvalidated = true;
|
---|
[2319] | 36 |
|
---|
| 37 | public Dataset()
|
---|
| 38 | : this(new double[,] { { 0.0 } }) {
|
---|
| 39 | }
|
---|
[2] | 40 |
|
---|
[2319] | 41 | public Dataset(double[,] samples) {
|
---|
| 42 | Name = "-";
|
---|
| 43 | Rows = samples.GetLength(0);
|
---|
| 44 | Columns = samples.GetLength(1);
|
---|
| 45 | double[] values = new double[Rows * Columns];
|
---|
| 46 | int i = 0;
|
---|
| 47 | for (int row = 0; row < Rows; row++) {
|
---|
| 48 | for (int column = 0; column < columns; column++) {
|
---|
| 49 | values[i++] = samples[row, column];
|
---|
| 50 | }
|
---|
| 51 | }
|
---|
| 52 | Samples = values;
|
---|
| 53 | fireChangeEvents = true;
|
---|
[2038] | 54 | }
|
---|
| 55 |
|
---|
[2319] | 56 | #region Properties
|
---|
| 57 | private string name;
|
---|
[333] | 58 | public string Name {
|
---|
| 59 | get { return name; }
|
---|
| 60 | set { name = value; }
|
---|
[312] | 61 | }
|
---|
| 62 |
|
---|
[2319] | 63 | private int rows;
|
---|
[2] | 64 | public int Rows {
|
---|
| 65 | get { return rows; }
|
---|
| 66 | set { rows = value; }
|
---|
| 67 | }
|
---|
| 68 |
|
---|
[2319] | 69 | private int columns;
|
---|
[2] | 70 | public int Columns {
|
---|
| 71 | get { return columns; }
|
---|
[1786] | 72 | set {
|
---|
[1287] | 73 | columns = value;
|
---|
| 74 | if (variableNames == null || variableNames.Length != columns) {
|
---|
| 75 | variableNames = new string[columns];
|
---|
| 76 | }
|
---|
| 77 | }
|
---|
[2] | 78 | }
|
---|
| 79 |
|
---|
[2319] | 80 | private string[] variableNames;
|
---|
| 81 | public IEnumerable<string> VariableNames {
|
---|
| 82 | get { return variableNames; }
|
---|
[333] | 83 | }
|
---|
| 84 |
|
---|
[2319] | 85 | private double[] samples;
|
---|
[2] | 86 | public double[] Samples {
|
---|
| 87 | get { return samples; }
|
---|
[237] | 88 | set {
|
---|
[2285] | 89 | variableNames = Enumerable.Range(1, columns).Select(x => "Var" + x.ToString("###")).ToArray();
|
---|
[237] | 90 | scalingFactor = new double[columns];
|
---|
| 91 | scalingOffset = new double[columns];
|
---|
[1786] | 92 | for (int i = 0; i < scalingFactor.Length; i++) {
|
---|
[237] | 93 | scalingFactor[i] = 1.0;
|
---|
| 94 | scalingOffset[i] = 0.0;
|
---|
| 95 | }
|
---|
[2] | 96 | samples = value;
|
---|
[2038] | 97 | cachedValuesInvalidated = true;
|
---|
| 98 | if (fireChangeEvents) FireChanged();
|
---|
[2] | 99 | }
|
---|
| 100 | }
|
---|
| 101 |
|
---|
[2319] | 102 | private bool fireChangeEvents = true;
|
---|
| 103 | public bool FireChangeEvents {
|
---|
| 104 | get { return fireChangeEvents; }
|
---|
| 105 | set { fireChangeEvents = value; }
|
---|
[2223] | 106 | }
|
---|
[2] | 107 |
|
---|
[2319] | 108 | private double[] scalingFactor;
|
---|
| 109 | public double[] ScalingFactor {
|
---|
| 110 | get { return scalingFactor; }
|
---|
| 111 | set {
|
---|
| 112 | if (value.Length != scalingFactor.Length)
|
---|
| 113 | throw new ArgumentException("Length of scaling factor array doesn't match number of variables");
|
---|
| 114 | scalingFactor = value;
|
---|
| 115 | }
|
---|
[2285] | 116 | }
|
---|
| 117 |
|
---|
[2319] | 118 | private double[] scalingOffset;
|
---|
| 119 | public double[] ScalingOffset {
|
---|
| 120 | get { return scalingOffset; }
|
---|
| 121 | set {
|
---|
| 122 | if (value.Length != scalingOffset.Length)
|
---|
| 123 | throw new ArgumentException("Length of scaling offset array doesn't match number of variables");
|
---|
| 124 | scalingOffset = value;
|
---|
[2285] | 125 | }
|
---|
[2] | 126 | }
|
---|
[2319] | 127 | #endregion
|
---|
[2] | 128 |
|
---|
[2319] | 129 | #region Modify and get values
|
---|
| 130 | public double GetValue(int i, int j) {
|
---|
| 131 | return samples[columns * i + j];
|
---|
[1287] | 132 | }
|
---|
| 133 |
|
---|
[2311] | 134 | public double[] GetVariableValues(int variableIndex, int start, int end) {
|
---|
| 135 | if (start < 0 || !(start <= end))
|
---|
| 136 | throw new ArgumentException("Start must be between 0 and end (" + end + ").");
|
---|
| 137 | if (end > rows || end < start)
|
---|
| 138 | throw new ArgumentException("End must be between start (" + start + ") and dataset rows (" + rows + ").");
|
---|
| 139 |
|
---|
| 140 | double[] values = new double[end - start];
|
---|
| 141 | for (int i = 0; i < end - start; i++)
|
---|
| 142 | values[i] = GetValue(i + start, variableIndex);
|
---|
| 143 | return values;
|
---|
| 144 | }
|
---|
| 145 |
|
---|
| 146 | public double[] GetVariableValues(int variableIndex) {
|
---|
| 147 | return GetVariableValues(variableIndex, 0, this.rows);
|
---|
| 148 | }
|
---|
| 149 |
|
---|
| 150 | public double[] GetVariableValues(string variableName, int start, int end) {
|
---|
| 151 | return GetVariableValues(GetVariableIndex(variableName), start, end);
|
---|
| 152 | }
|
---|
| 153 |
|
---|
| 154 | public double[] GetVariableValues(string variableName) {
|
---|
| 155 | return GetVariableValues(variableName, 0, this.rows);
|
---|
| 156 | }
|
---|
| 157 |
|
---|
[2319] | 158 | public void SetValue(int i, int j, double v) {
|
---|
| 159 | if (v != samples[columns * i + j]) {
|
---|
| 160 | samples[columns * i + j] = v;
|
---|
| 161 | cachedValuesInvalidated = true;
|
---|
| 162 | if (fireChangeEvents) FireChanged();
|
---|
| 163 | }
|
---|
| 164 | }
|
---|
| 165 |
|
---|
| 166 | public IEnumerable<double> ReplaceVariableValues(int variableIndex, IEnumerable<double> newValues, int start, int end) {
|
---|
| 167 | double[] oldValues = new double[end - start];
|
---|
| 168 | for (int i = 0; i < end - start; i++) oldValues[i] = this.GetValue(i + start, variableIndex);
|
---|
| 169 | if (newValues.Count() != end - start) throw new ArgumentException("The length of the new values sequence doesn't match the required length (number of replaced values)");
|
---|
| 170 |
|
---|
| 171 | int index = start;
|
---|
| 172 | this.FireChangeEvents = false;
|
---|
| 173 | foreach (double v in newValues) {
|
---|
| 174 | this.SetValue(index++, variableIndex, v);
|
---|
| 175 | }
|
---|
| 176 | this.FireChangeEvents = true;
|
---|
| 177 | this.FireChanged();
|
---|
| 178 | return oldValues;
|
---|
| 179 | }
|
---|
| 180 |
|
---|
| 181 | public IEnumerable<double> ReplaceVariableValues(string variableName, IEnumerable<double> newValues, int start, int end) {
|
---|
| 182 | return ReplaceVariableValues(this.GetVariableIndex(variableName), newValues, start, end);
|
---|
| 183 | }
|
---|
| 184 | #endregion
|
---|
| 185 |
|
---|
| 186 | #region Variable name methods
|
---|
| 187 | public string GetVariableName(int variableIndex) {
|
---|
| 188 | return variableNames[variableIndex];
|
---|
| 189 | }
|
---|
| 190 |
|
---|
| 191 | public int GetVariableIndex(string variableName) {
|
---|
| 192 | for (int i = 0; i < variableNames.Length; i++) {
|
---|
| 193 | if (variableNames[i].Equals(variableName)) return i;
|
---|
| 194 | }
|
---|
| 195 | throw new ArgumentException("The variable name " + variableName + " was not found.");
|
---|
| 196 | }
|
---|
| 197 |
|
---|
[1287] | 198 | public void SetVariableName(int variableIndex, string name) {
|
---|
| 199 | variableNames[variableIndex] = name;
|
---|
| 200 | }
|
---|
| 201 |
|
---|
[2310] | 202 | public bool ContainsVariableName(string variableName) {
|
---|
| 203 | return this.variableNames.Contains(variableName);
|
---|
| 204 | }
|
---|
[2319] | 205 | #endregion
|
---|
[2310] | 206 |
|
---|
[2] | 207 | public override IView CreateView() {
|
---|
| 208 | return new DatasetView(this);
|
---|
| 209 | }
|
---|
| 210 |
|
---|
[2319] | 211 |
|
---|
| 212 | #region Variable statistics
|
---|
| 213 | public double GetMean(string variableName) {
|
---|
| 214 | return GetMean(GetVariableIndex(variableName));
|
---|
| 215 | }
|
---|
| 216 |
|
---|
| 217 | public double GetMean(string variableName, int start, int end) {
|
---|
| 218 | return GetMean(GetVariableIndex(variableName), start, end);
|
---|
| 219 | }
|
---|
| 220 |
|
---|
| 221 | public double GetMean(int column) {
|
---|
| 222 | return GetMean(column, 0, Rows);
|
---|
| 223 | }
|
---|
| 224 |
|
---|
| 225 | public double GetMean(int column, int start, int end) {
|
---|
| 226 | if (cachedValuesInvalidated) CreateDictionaries();
|
---|
| 227 | if (!cachedMeans[column].ContainsKey(start) || !cachedMeans[column][start].ContainsKey(end)) {
|
---|
| 228 | double[] values = new double[end - start];
|
---|
| 229 | for (int sample = start; sample < end; sample++) {
|
---|
| 230 | values[sample - start] = GetValue(sample, column);
|
---|
| 231 | }
|
---|
| 232 | double mean = Statistics.Mean(values);
|
---|
| 233 | if (!cachedMeans[column].ContainsKey(start)) cachedMeans[column][start] = new Dictionary<int, double>();
|
---|
| 234 | cachedMeans[column][start][end] = mean;
|
---|
| 235 | return mean;
|
---|
| 236 | } else {
|
---|
| 237 | return cachedMeans[column][start][end];
|
---|
| 238 | }
|
---|
| 239 | }
|
---|
| 240 |
|
---|
| 241 | public double GetRange(string variableName) {
|
---|
| 242 | return GetRange(this.GetVariableIndex(variableName));
|
---|
| 243 | }
|
---|
| 244 |
|
---|
| 245 | public double GetRange(int column) {
|
---|
| 246 | return GetRange(column, 0, Rows);
|
---|
| 247 | }
|
---|
| 248 |
|
---|
| 249 | public double GetRange(string variableName, int start, int end) {
|
---|
| 250 | return GetRange(this.GetVariableIndex(variableName), start, end);
|
---|
| 251 | }
|
---|
| 252 |
|
---|
| 253 | public double GetRange(int column, int start, int end) {
|
---|
| 254 | if (cachedValuesInvalidated) CreateDictionaries();
|
---|
| 255 | if (!cachedRanges[column].ContainsKey(start) || !cachedRanges[column][start].ContainsKey(end)) {
|
---|
| 256 | double[] values = new double[end - start];
|
---|
| 257 | for (int sample = start; sample < end; sample++) {
|
---|
| 258 | values[sample - start] = GetValue(sample, column);
|
---|
| 259 | }
|
---|
| 260 | double range = Statistics.Range(values);
|
---|
| 261 | if (!cachedRanges[column].ContainsKey(start)) cachedRanges[column][start]= new Dictionary<int, double>();
|
---|
| 262 | cachedRanges[column][start][end] = range;
|
---|
| 263 | return range;
|
---|
| 264 | } else {
|
---|
| 265 | return cachedRanges[column][start][end];
|
---|
| 266 | }
|
---|
| 267 | }
|
---|
| 268 |
|
---|
| 269 | public double GetMaximum(string variableName) {
|
---|
| 270 | return GetMaximum(this.GetVariableIndex(variableName));
|
---|
| 271 | }
|
---|
| 272 |
|
---|
| 273 | public double GetMaximum(int column) {
|
---|
| 274 | return GetMaximum(column, 0, Rows);
|
---|
| 275 | }
|
---|
| 276 |
|
---|
| 277 | public double GetMaximum(string variableName, int start, int end) {
|
---|
| 278 | return GetMaximum(this.GetVariableIndex(variableName), start, end);
|
---|
| 279 | }
|
---|
| 280 |
|
---|
| 281 | public double GetMaximum(int column, int start, int end) {
|
---|
| 282 | double max = Double.NegativeInfinity;
|
---|
| 283 | for (int i = start; i < end; i++) {
|
---|
| 284 | double val = GetValue(i, column);
|
---|
| 285 | if (!double.IsNaN(val) && val > max) max = val;
|
---|
| 286 | }
|
---|
| 287 | return max;
|
---|
| 288 | }
|
---|
| 289 |
|
---|
| 290 | public double GetMinimum(string variableName) {
|
---|
| 291 | return GetMinimum(GetVariableIndex(variableName));
|
---|
| 292 | }
|
---|
| 293 |
|
---|
| 294 | public double GetMinimum(int column) {
|
---|
| 295 | return GetMinimum(column, 0, Rows);
|
---|
| 296 | }
|
---|
| 297 |
|
---|
| 298 | public double GetMinimum(string variableName, int start, int end) {
|
---|
| 299 | return GetMinimum(this.GetVariableIndex(variableName), start, end);
|
---|
| 300 | }
|
---|
| 301 |
|
---|
| 302 | public double GetMinimum(int column, int start, int end) {
|
---|
| 303 | double min = Double.PositiveInfinity;
|
---|
| 304 | for (int i = start; i < end; i++) {
|
---|
| 305 | double val = GetValue(i, column);
|
---|
| 306 | if (!double.IsNaN(val) && val < min) min = val;
|
---|
| 307 | }
|
---|
| 308 | return min;
|
---|
| 309 | }
|
---|
| 310 | #endregion
|
---|
| 311 |
|
---|
| 312 | internal void ScaleVariable(int column) {
|
---|
| 313 | if (scalingFactor[column] == 1.0 && scalingOffset[column] == 0.0) {
|
---|
| 314 | double min = GetMinimum(column);
|
---|
| 315 | double max = GetMaximum(column);
|
---|
| 316 | double range = max - min;
|
---|
| 317 | if (range == 0) ScaleVariable(column, 1.0, -min);
|
---|
| 318 | else ScaleVariable(column, 1.0 / range, -min);
|
---|
| 319 | }
|
---|
| 320 | cachedValuesInvalidated = true;
|
---|
| 321 | if (fireChangeEvents) FireChanged();
|
---|
| 322 | }
|
---|
| 323 |
|
---|
| 324 | internal void ScaleVariable(int column, double factor, double offset) {
|
---|
| 325 | scalingFactor[column] = factor;
|
---|
| 326 | scalingOffset[column] = offset;
|
---|
| 327 | for (int i = 0; i < Rows; i++) {
|
---|
| 328 | double origValue = samples[i * columns + column];
|
---|
| 329 | samples[i * columns + column] = (origValue + offset) * factor;
|
---|
| 330 | }
|
---|
| 331 | cachedValuesInvalidated = true;
|
---|
| 332 | if (fireChangeEvents) FireChanged();
|
---|
| 333 | }
|
---|
| 334 |
|
---|
| 335 | internal void UnscaleVariable(int column) {
|
---|
| 336 | if (scalingFactor[column] != 1.0 || scalingOffset[column] != 0.0) {
|
---|
| 337 | for (int i = 0; i < rows; i++) {
|
---|
| 338 | double scaledValue = samples[i * columns + column];
|
---|
| 339 | samples[i * columns + column] = scaledValue / scalingFactor[column] - scalingOffset[column];
|
---|
| 340 | }
|
---|
| 341 | scalingFactor[column] = 1.0;
|
---|
| 342 | scalingOffset[column] = 0.0;
|
---|
| 343 | }
|
---|
| 344 | cachedValuesInvalidated = true;
|
---|
| 345 | if (fireChangeEvents) FireChanged();
|
---|
| 346 | }
|
---|
| 347 |
|
---|
| 348 | private void CreateDictionaries() {
|
---|
| 349 | // keep a means and ranges dictionary for each column (possible target variable) of the dataset.
|
---|
| 350 | cachedMeans = new Dictionary<int, Dictionary<int, double>>[columns];
|
---|
| 351 | cachedRanges = new Dictionary<int, Dictionary<int, double>>[columns];
|
---|
| 352 | for (int i = 0; i < columns; i++) {
|
---|
| 353 | cachedMeans[i] = new Dictionary<int, Dictionary<int, double>>();
|
---|
| 354 | cachedRanges[i] = new Dictionary<int, Dictionary<int, double>>();
|
---|
| 355 | }
|
---|
| 356 | cachedValuesInvalidated = false;
|
---|
| 357 | }
|
---|
| 358 |
|
---|
[2012] | 359 | #region persistence
|
---|
[2] | 360 | public override object Clone(IDictionary<Guid, object> clonedObjects) {
|
---|
| 361 | Dataset clone = new Dataset();
|
---|
| 362 | clonedObjects.Add(Guid, clone);
|
---|
| 363 | double[] cloneSamples = new double[rows * columns];
|
---|
| 364 | Array.Copy(samples, cloneSamples, samples.Length);
|
---|
| 365 | clone.rows = rows;
|
---|
| 366 | clone.columns = columns;
|
---|
| 367 | clone.Samples = cloneSamples;
|
---|
| 368 | clone.Name = Name;
|
---|
[1287] | 369 | clone.variableNames = new string[variableNames.Length];
|
---|
| 370 | Array.Copy(variableNames, clone.variableNames, variableNames.Length);
|
---|
[237] | 371 | Array.Copy(scalingFactor, clone.scalingFactor, columns);
|
---|
| 372 | Array.Copy(scalingOffset, clone.scalingOffset, columns);
|
---|
[2] | 373 | return clone;
|
---|
| 374 | }
|
---|
| 375 |
|
---|
| 376 | public override XmlNode GetXmlNode(string name, XmlDocument document, IDictionary<Guid, IStorable> persistedObjects) {
|
---|
| 377 | XmlNode node = base.GetXmlNode(name, document, persistedObjects);
|
---|
| 378 | XmlAttribute problemName = document.CreateAttribute("Name");
|
---|
| 379 | problemName.Value = Name;
|
---|
| 380 | node.Attributes.Append(problemName);
|
---|
| 381 | XmlAttribute dim1 = document.CreateAttribute("Dimension1");
|
---|
| 382 | dim1.Value = rows.ToString(CultureInfo.InvariantCulture.NumberFormat);
|
---|
| 383 | node.Attributes.Append(dim1);
|
---|
| 384 | XmlAttribute dim2 = document.CreateAttribute("Dimension2");
|
---|
| 385 | dim2.Value = columns.ToString(CultureInfo.InvariantCulture.NumberFormat);
|
---|
| 386 | node.Attributes.Append(dim2);
|
---|
| 387 | XmlAttribute variableNames = document.CreateAttribute("VariableNames");
|
---|
| 388 | variableNames.Value = GetVariableNamesString();
|
---|
| 389 | node.Attributes.Append(variableNames);
|
---|
[237] | 390 | XmlAttribute scalingFactorsAttribute = document.CreateAttribute("ScalingFactors");
|
---|
| 391 | scalingFactorsAttribute.Value = GetString(scalingFactor);
|
---|
| 392 | node.Attributes.Append(scalingFactorsAttribute);
|
---|
| 393 | XmlAttribute scalingOffsetsAttribute = document.CreateAttribute("ScalingOffsets");
|
---|
| 394 | scalingOffsetsAttribute.Value = GetString(scalingOffset);
|
---|
| 395 | node.Attributes.Append(scalingOffsetsAttribute);
|
---|
[2] | 396 | node.InnerText = ToString(CultureInfo.InvariantCulture.NumberFormat);
|
---|
| 397 | return node;
|
---|
| 398 | }
|
---|
| 399 |
|
---|
| 400 | public override void Populate(XmlNode node, IDictionary<Guid, IStorable> restoredObjects) {
|
---|
| 401 | base.Populate(node, restoredObjects);
|
---|
| 402 | Name = node.Attributes["Name"].Value;
|
---|
| 403 | rows = int.Parse(node.Attributes["Dimension1"].Value, CultureInfo.InvariantCulture.NumberFormat);
|
---|
| 404 | columns = int.Parse(node.Attributes["Dimension2"].Value, CultureInfo.InvariantCulture.NumberFormat);
|
---|
[237] | 405 |
|
---|
[1287] | 406 | variableNames = ParseVariableNamesString(node.Attributes["VariableNames"].Value);
|
---|
[1786] | 407 | if (node.Attributes["ScalingFactors"] != null)
|
---|
[237] | 408 | scalingFactor = ParseDoubleString(node.Attributes["ScalingFactors"].Value);
|
---|
| 409 | else {
|
---|
| 410 | scalingFactor = new double[columns]; // compatibility with old serialization format
|
---|
[1786] | 411 | for (int i = 0; i < scalingFactor.Length; i++) scalingFactor[i] = 1.0;
|
---|
[237] | 412 | }
|
---|
[1786] | 413 | if (node.Attributes["ScalingOffsets"] != null)
|
---|
[237] | 414 | scalingOffset = ParseDoubleString(node.Attributes["ScalingOffsets"].Value);
|
---|
| 415 | else {
|
---|
| 416 | scalingOffset = new double[columns]; // compatibility with old serialization format
|
---|
[1786] | 417 | for (int i = 0; i < scalingOffset.Length; i++) scalingOffset[i] = 0.0;
|
---|
[237] | 418 | }
|
---|
[2] | 419 |
|
---|
| 420 | string[] tokens = node.InnerText.Split(';');
|
---|
[1786] | 421 | if (tokens.Length != rows * columns) throw new FormatException();
|
---|
[2] | 422 | samples = new double[rows * columns];
|
---|
[1786] | 423 | for (int row = 0; row < rows; row++) {
|
---|
| 424 | for (int column = 0; column < columns; column++) {
|
---|
| 425 | if (double.TryParse(tokens[row * columns + column], NumberStyles.Float, CultureInfo.InvariantCulture.NumberFormat, out samples[row * columns + column]) == false) {
|
---|
[2] | 426 | throw new FormatException("Can't parse " + tokens[row * columns + column] + " as double value.");
|
---|
| 427 | }
|
---|
| 428 | }
|
---|
| 429 | }
|
---|
| 430 | }
|
---|
| 431 |
|
---|
| 432 | public override string ToString() {
|
---|
| 433 | return ToString(CultureInfo.CurrentCulture.NumberFormat);
|
---|
| 434 | }
|
---|
| 435 |
|
---|
| 436 | private string ToString(NumberFormatInfo format) {
|
---|
| 437 | StringBuilder builder = new StringBuilder();
|
---|
[1786] | 438 | for (int row = 0; row < rows; row++) {
|
---|
| 439 | for (int column = 0; column < columns; column++) {
|
---|
[2] | 440 | builder.Append(";");
|
---|
[344] | 441 | builder.Append(samples[row * columns + column].ToString("r", format));
|
---|
[2] | 442 | }
|
---|
| 443 | }
|
---|
[1786] | 444 | if (builder.Length > 0) builder.Remove(0, 1);
|
---|
[2] | 445 | return builder.ToString();
|
---|
| 446 | }
|
---|
| 447 |
|
---|
| 448 | private string GetVariableNamesString() {
|
---|
| 449 | string s = "";
|
---|
[1786] | 450 | for (int i = 0; i < variableNames.Length; i++) {
|
---|
[2] | 451 | s += variableNames[i] + "; ";
|
---|
| 452 | }
|
---|
| 453 |
|
---|
[1786] | 454 | if (variableNames.Length > 0) {
|
---|
[2] | 455 | s = s.TrimEnd(';', ' ');
|
---|
| 456 | }
|
---|
| 457 | return s;
|
---|
| 458 | }
|
---|
[237] | 459 | private string GetString(double[] xs) {
|
---|
| 460 | string s = "";
|
---|
[1786] | 461 | for (int i = 0; i < xs.Length; i++) {
|
---|
[344] | 462 | s += xs[i].ToString("r", CultureInfo.InvariantCulture) + "; ";
|
---|
[237] | 463 | }
|
---|
[2] | 464 |
|
---|
[1786] | 465 | if (xs.Length > 0) {
|
---|
[237] | 466 | s = s.TrimEnd(';', ' ');
|
---|
| 467 | }
|
---|
| 468 | return s;
|
---|
| 469 | }
|
---|
| 470 |
|
---|
[2] | 471 | private string[] ParseVariableNamesString(string p) {
|
---|
| 472 | p = p.Trim();
|
---|
[237] | 473 | string[] tokens = p.Split(new char[] { ';' }, StringSplitOptions.RemoveEmptyEntries);
|
---|
[1786] | 474 | for (int i = 0; i < tokens.Length; i++) tokens[i] = tokens[i].Trim();
|
---|
[2] | 475 | return tokens;
|
---|
| 476 | }
|
---|
[237] | 477 | private double[] ParseDoubleString(string s) {
|
---|
| 478 | s = s.Trim();
|
---|
| 479 | string[] ss = s.Split(new char[] { ';' }, StringSplitOptions.RemoveEmptyEntries);
|
---|
| 480 | double[] xs = new double[ss.Length];
|
---|
[1786] | 481 | for (int i = 0; i < xs.Length; i++) {
|
---|
[237] | 482 | xs[i] = double.Parse(ss[i], CultureInfo.InvariantCulture);
|
---|
| 483 | }
|
---|
| 484 | return xs;
|
---|
| 485 | }
|
---|
[2012] | 486 | #endregion
|
---|
[2] | 487 | }
|
---|
| 488 | }
|
---|