source: branches/DataPreprocessing/HeuristicLab.DataPreprocessing/3.3/Implementations/ChartLogic.cs @ 10811

Last change on this file since 10811 was 10811, checked in by sbreuer, 5 years ago
  • provide default value (false) for considerSelection parameter
File size: 3.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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
22using System;
23using System.Collections.Generic;
24using HeuristicLab.Analysis;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27
28namespace HeuristicLab.DataPreprocessing {
29
30  public class ChartLogic : IChartLogic {
31 
32    private ITransactionalPreprocessingData preprocessingData;
33
34    public ChartLogic(ITransactionalPreprocessingData preprocessingData) {
35      this.preprocessingData = preprocessingData;
36    }
37
38    public DataRow CreateDataRow(string variableName, DataRowVisualProperties.DataRowChartType chartType) {
39      IList<double> values = preprocessingData.GetValues<double>(variableName);
40      DataRow row = new DataRow(variableName, "", values);
41      row.VisualProperties.ChartType = chartType;
42      return row;
43    }
44
45    public DataRow CreateDataRowRange(string variableName,int start, int end, DataRowVisualProperties.DataRowChartType chartType) {
46      IList<double> values = preprocessingData.GetValues<double>(variableName);
47      IList<double> valuesRange = new List<double>();
48      for (int i = 0; i < values.Count; i++) {
49        if (i >= start && i <= end)
50          valuesRange.Add(values[i]);
51        else
52          valuesRange.Add(Double.NaN);
53      }
54
55      DataRow row = new DataRow(variableName, "", valuesRange);
56      row.VisualProperties.ChartType = chartType;
57      return row;
58    }
59
60    private void ReplaceNANwithZero(IList<double> values) {
61      for (int i = 0; i < values.Count; i++) {
62        if (Double.IsNaN(values[i]))
63          values[i] = 0;
64      }
65    }
66
67
68
69    private IEnumerable<string> GetVariableNames() {
70      List<string> doubleVariableNames = new List<string>();
71
72      //only return variable names from type double
73      foreach (string variableName in preprocessingData.VariableNames) {
74        if (preprocessingData.IsType<double>(preprocessingData.GetColumnIndex(variableName)))
75          doubleVariableNames.Add(variableName);
76      }
77
78      return doubleVariableNames;
79    }
80
81    public ICheckedItemList<StringValue> CreateVariableItemList() {
82      ICheckedItemList<StringValue> itemList = new CheckedItemList<StringValue>();
83      foreach (string name in GetVariableNames()) {
84        itemList.Add(new StringValue(name), true);
85      }
86      return new ReadOnlyCheckedItemList<StringValue>(itemList);
87    }
88
89    public event DataPreprocessingChangedEventHandler Changed {
90      add { preprocessingData.Changed += value; }
91      remove { preprocessingData.Changed -= value; }
92    }
93
94    public string GetVariableNameByIndex(int index) {
95      return preprocessingData.GetVariableName(index);
96    }
97
98
99    public List<DataRow> CreateAllDataRows(DataRowVisualProperties.DataRowChartType chartType) {
100      List<DataRow> dataRows = new List<DataRow>();
101      foreach (var name in GetVariableNames())
102        dataRows.Add(CreateDataRow(name, chartType));
103      return dataRows;
104    }
105
106  }
107}
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