private void button8_Click(object sender, RoutedEventArgs e)
{
try
{
//P-Analysis ---------------------------------
checkSaveSub.IsChecked = true;
checkSample.IsChecked = false;
doTransform(0);
sub.Close();
//Concat Sub files & export ---------------------------------
List <string> concat_txt = TheTool.concatFile_OWS(sub_t.list_fileSave, true, 2);
string path_saveFolder = TheURL.totalView_path_saveRoot + @"[NEu]\" + sub_t.getSubSubFolder();
TheTool.Folder_CreateIfMissing(path_saveFolder);
string path_concatFile = path_saveFolder + @"\concat.csv";
TheTool.exportFile(concat_txt, path_concatFile, false);
//Learn MinMax & export ---------------------------------
TheMinMaxNormaliz.getDataTable(path_concatFile);
TheMinMaxNormaliz.buildMinMax_Euclidian_Table();
TheTool.export_dataTable_to_CSV(path_saveFolder + @"\minmax.csv", TheMinMaxNormaliz.dt_MinMax_Euclidian);
//--------------------
doTransform(1);
sub.confirmOnClose = true;
}
catch { }
}
void subTable_calJointEuclidian(int fileID, DataTable dt)
{
try
{
//=================================================
//============= Write Sub Table ==================
//build Column First
columnAdd_forJoints(dt, col_s_suffix_d);
//======================================================
//------ Variable For cal Euclidian Distance
double[] lastXYZ = { 0, 0, 0 }; double[] currentXYZ = { 0, 0, 0 };
List <double> list_D;
double dist;
//======================================================
foreach (string joint in TheTool.joint_list_upperOnly)//Column first method
{
list_D = new List <double> {
};
if (normaliz_method == 4)
{
TheMinMaxNormaliz.getMinMax(joint, ref temp_Dist_min, ref temp_Dist_max);
}
//------ Cal AvgC -----------------------------
//double avg_C = TheTool_Stat.calAvg_byCol(dt, joint + "_c", decimalNum);
//dataTable.Rows[fileID][joint + col_m_cAvg] = avg_C;
//------ Cal Joint D -----------------------------
for (int row = 0; row < dt.Rows.Count; row++)
{
//------ Cal Euclidian --------------------------------
currentXYZ = TheTool.getDouble_fromJoint(dt, row, joint);
if (row == 0)
{
dt.Rows[row][joint + col_s_suffix_d] = "0";
}
else
{
dist = TheTool_Stat.calEuclidean(currentXYZ, lastXYZ, decimalNum);
if (normaliz_method == 4)
{
dist = TheTool_Stat.calMinMaxNormalize(dist, temp_Dist_min, temp_Dist_max);
}
dt.Rows[row][joint + col_s_suffix_d] = dist;
list_D.Add(dist);
}
lastXYZ = currentXYZ;
}
//=================================================
//============= Write Main Table ==================
calMainTable(list_D, fileID, joint);
}
}
catch { }
}
//***************************************************************
//*********************** Super Normalize****************************
//Learn where is Min - Max
private void butLearn_Click(object sender, RoutedEventArgs e)
{
Nullable <bool> openDialog = TheTool.openFileDialog_01(false, ".csv", "");
// Get the selected file name and display in a TextBox
if (openDialog == true)
{
TheMinMaxNormaliz.getDataTable(TheTool.dialog.FileName);
if (TheMinMaxNormaliz.minmax_Euclidian_ready)
{
TheMinMaxNormaliz.showMinMax_Euclidian_Table();
butA2.IsEnabled = true;
}
;
}
}
