//path_data : row are selected, 2 columns to be cropped ("time,id")
//path_minmax : minmax, no crop is needed, leave "" for local MM
//path_folder & filename : path to save
//Auto Crop Column Name
public static void ChangeAnalysis(string path_data_selected, string path_GlobalMM, string path_folder, string filename)
{
try
{
path_PE_localMM = path_folder + @"\[MinMax(local)].csv";//in case Local
path_PE_vRank = path_folder + @"\" + filename + " F-Rank.csv";
path_PE_normal_extract = path_folder + @"\" + filename + " Extracted-03 Normalized.csv";
DataTable dt_temp = CSVReader.ReadCSVFile(path_data_selected, true); //have 2 unused col
DataTable dt_data = TheTool.dataTable_cropCol(dt_temp, 2, 0); //only analyzed column
DataTable dt_mm = null; //Datatable of MinMax
//--- Prepare MinMax Table
Boolean useGlobalMM = true;
if (path_GlobalMM == "" || File.Exists(path_GlobalMM) == false)
{
useGlobalMM = false;
}
else
{
try { dt_mm = CSVReader.ReadCSVFile(path_GlobalMM, true); }
catch (Exception ex) { TheSys.showError(ex); useGlobalMM = false; }
}
if (useGlobalMM == false)
{
//build MM table by local data
dt_mm = TheTool.dataTable_getMaxMinTable(dt_data);//generate MM table
TheTool.export_dataTable_to_CSV(path_PE_localMM, dt_mm);
}
try
{
DataTable dt_normal = TheTool.dataTable_MinMaxNormalization(dt_data, dt_mm);
//--- Cal Change -------------------------------------
List <String> data_raw_change = ThePosExtract.process_calChange(dt_data, false, false);
List <String> data_normal_change = ThePosExtract.process_calChange(dt_normal, true, true);
List <String> data_ChangeAnalysis = new List <String>();
data_ChangeAnalysis.Add("RAW");
data_ChangeAnalysis.AddRange(data_raw_change);
data_ChangeAnalysis.Add("");
data_ChangeAnalysis.Add("");
data_ChangeAnalysis.Add("NORMALIZED F-RANKING");
data_ChangeAnalysis.AddRange(data_normal_change);
TheTool.exportCSV_orTXT(path_PE_vRank, data_ChangeAnalysis, false);
//--- Normalize Table : re-added column before save
dt_normal.Columns.Add("time", typeof(string)).SetOrdinal(0);
dt_normal.Columns.Add("id", typeof(string)).SetOrdinal(0);
int r = 0;
foreach (DataRow row in dt_normal.Rows)
{
row[0] = dt_temp.Rows[r][0].ToString();
row[1] = dt_temp.Rows[r][1].ToString();
r++;
}
TheTool.export_dataTable_to_CSV(path_PE_normal_extract, dt_normal);
}
catch (Exception ex) { TheSys.showError("Normalize: " + ex.ToString()); }
}
catch (Exception ex) { TheSys.showError("Change Analysis: " + ex.ToString()); }
}
//Data contain "time,id"
public static DataTable getNormalizedTable(string path_data_selected, string path_GlobalMM, Boolean Crop2Col)
{
try
{
DataTable dt_temp = CSVReader.ReadCSVFile(path_data_selected, true);//have 2 unused col
DataTable dt_data = dt_temp;
if (Crop2Col)
{
dt_data = TheTool.dataTable_cropCol(dt_temp, 2, 0); //only analyzed column
}
DataTable dt_mm = null; //Datatable of MinMax
//--- Prepare MinMax Table
Boolean useGlobalMM = true;
if (path_GlobalMM == "" || File.Exists(path_GlobalMM) == false)
{
useGlobalMM = false;
}
else
{
try { dt_mm = CSVReader.ReadCSVFile(path_GlobalMM, true); }
catch (Exception ex) { TheSys.showError(ex); useGlobalMM = false; }
}
if (useGlobalMM == false)
{
//build MM table by local data
dt_mm = TheTool.dataTable_getMaxMinTable(dt_data);//generate MM table
}
DataTable dt_normal = TheTool.dataTable_MinMaxNormalization(dt_data, dt_mm);
//--- Normalize Table : re-added column before save
if (Crop2Col)
{
dt_normal.Columns.Add("time", typeof(string)).SetOrdinal(0);
dt_normal.Columns.Add("id", typeof(string)).SetOrdinal(0);
int r = 0;
foreach (DataRow row in dt_normal.Rows)
{
row[0] = dt_temp.Rows[r][0].ToString();
row[1] = dt_temp.Rows[r][1].ToString();
r++;
}
}
return(dt_normal);
}
catch (Exception ex) { TheSys.showError(ex); return(new DataTable()); }
}
//****************************************************************************************
public static List <string> calEntropy_MotionData(String path_loadFrom, List <int[]> keyPostureRange
, int degit, int col_combine_range)
{
List <string> final_output = new List <string>();//Data
try
{
DataTable dt = CSVReader.ReadCSVFile(path_loadFrom, true); //prepare Data
dt = TheTool.dataTable_cropCol(dt, 2, 0); //del first 2 Col
TheTool.dataTable_roundValue(dt, degit); // eliminate decimal
int start = -1; int end = 0;
foreach (int[] keyPose in keyPostureRange)
{
DataTable dt_sub = TheTool.dataTable_selectRow_byIndex(dt, start, end);
final_output.Add(start + " to " + end + "," + calEntrophy_1Action(dt_sub, col_combine_range));
}
}
catch (Exception ex) { TheSys.showError(ex); }
return(final_output);
}
