void PreprocessingData_Changed(object sender, DataPreprocessingChangedEventArgs e)
{
switch (e.Type)
{
case DataPreprocessingChangedEventType.DeleteColumn:
case DataPreprocessingChangedEventType.ChangeColumn:
MissingValueIndicies.Remove(e.Column);
ValuesWithoutNaN.Remove(e.Column);
break;
case DataPreprocessingChangedEventType.AddColumn:
//cache does not need to be updated, will be calculated the first time it is requested
break;
case DataPreprocessingChangedEventType.DeleteRow:
case DataPreprocessingChangedEventType.AddRow:
case DataPreprocessingChangedEventType.ChangeItem:
case DataPreprocessingChangedEventType.Any:
case DataPreprocessingChangedEventType.Transformation:
default:
MissingValueIndicies = new Dictionary <int, IList <int> >();
ValuesWithoutNaN = new Dictionary <int, IList>();
break;
}
}
public IEnumerable <T> GetValuesWithoutNaN <T>(int columnIndex, bool considerSelection)
{
if (considerSelection)
{
var selectedRows = preprocessingData.Selection[columnIndex];
List <T> values = new List <T>();
foreach (var rowIdx in selectedRows)
{
if (!IsMissingValue(columnIndex, rowIdx))
{
values.Add(preprocessingData.GetCell <T>(columnIndex, rowIdx));
}
}
return(values);
}
else
{
if (!ValuesWithoutNaN.ContainsKey(columnIndex))
{
List <T> values = new List <T>();
for (int row = 0; row < preprocessingData.Rows; ++row)
{
if (!IsMissingValue(columnIndex, row))
{
values.Add(preprocessingData.GetCell <T>(columnIndex, row));
}
}
ValuesWithoutNaN[columnIndex] = values;
}
return((IEnumerable <T>)ValuesWithoutNaN[columnIndex]);
}
}
void FilterLogic_FilterChanged(object sender, EventArgs e)
{
//recalculate
for (int i = 0; i < Columns; i++)
{
MissingValueIndicies.Remove(i);
ValuesWithoutNaN.Remove(i);
}
}