private void ExecuteMeasurment_Click(object sender, EventArgs e)
{
if (checkFileExists() == true)
{
generateErrorMessage("Filename Already Exists");
return;
}
if (ExpLastName.Text != "" && Temp.Text != "" && Substance.Text != "" && TubeNumber.Text != "" && filename.Text != "")
{
Workbook = new excel_doc();
Workbook.createDoc();
// Workbook.app.ScreenUpdating = false;
Workbook.addData(3, 1, "Cavity Temp:", "raw_data");
Workbook.addData(4, 1, "Room Temp:", "raw_data");
Workbook.addData(5, 1, "NA Calc Center:", "raw_data");
Workbook.addData(6, 1, "NA Calc BW:", "raw_data");
Workbook.addData(7, 1, "NA Calc IL:", "raw_data");
Workbook.addData(8, 1, "NA Calc Q:", "raw_data");
Workbook.addData(9, 1, "Data Set:", "raw_data");
string path = string.Format("{0}{1}.xlsx", pathname.Text, filename.Text);
Workbook.workbook.SaveAs(path);
start = DateTime.Now;
startMeasurment();
}
else
{
generateErrorMessage("Fill in all required fields.");
}
}
private void ExecuteMeasurment_Click(object sender, EventArgs e)
{
if (checkFileExists() == true)
{
generateErrorMessage("Filename Already Exists");
return;
}
if (ExpLastName.Text != "" && TubeNumber.Text != "" && Substance.Text != "" && filename.Text != "")
{
StopMeas.Enabled = true;
ExecuteMeasurment.Enabled = false;
Workbook = new excel_doc();
Workbook.createDoc();
Workbook.app.ScreenUpdating = false;
addGeneralInfo();
Workbook.addData(2, 1, "Time:", "raw_data");
Workbook.addData(3, 1, "Cavity Temp:", "raw_data");
Workbook.addData(4, 1, "Room Temp:", "raw_data");
Workbook.addData(5, 1, "NA Calc Center:", "raw_data");
Workbook.addData(6, 1, "NA Calc BW:", "raw_data");
Workbook.addData(7, 1, "NA Calc IL:", "raw_data");
Workbook.addData(8, 1, "NA Calc Q:", "raw_data");
Workbook.addData(9, 1, "Data Set:", "raw_data");
dataCol = 2;
Q_L = null;
Q_UL = null;
string path = string.Format("{0}{1}.xlsx", pathname.Text, filename.Text);
Workbook.workbook.SaveAs(path);
start = DateTime.Now;
NA.Write("NPX?;");
numberOfPoints = NA.ReadString();
NA.Write("IFBWX?;");
IFBW = NA.ReadString();
Workbook.addData(5, 1, "Number of Data Points:", "gen_info");
Workbook.addData(5, 2, numberOfPoints, "gen_info");
Workbook.addData(7, 1, "IF Bandwidth:", "gen_info");
Workbook.addData(7, 2, IFBW, "gen_info");
Workbook.addData(15, 1, "Input Power (dB):", "gen_info");
NA.Write("PWR?;");
inputPower = NA.ReadString();
Workbook.addData(15, 2, inputPower, "gen_info");
inputPowerLabel.Text = inputPower;
inputPowerLabel.Refresh();
startMeasurment();
}
else
{
generateErrorMessage("Fill in all required fields.");
}
}
private void matlabDataAnalysis(string file, string sheetToAnalyze)
{
excel_doc doc = new excel_doc();
Excel.Application excel = new Excel.Application();
Excel.Workbooks books = excel.Workbooks;
Excel.Workbook wb = books.Open(Filename: file, ReadOnly: false);
var activationContext = Type.GetTypeFromProgID("matlab.application.single");
var matlab = (MLApp.MLApp)Activator.CreateInstance(activationContext);
string path = resultPath.Text;
j = 1;
while (wb.Sheets["Unloaded Q"].Cells[j, 2].Value2 != null)
{
j++;
}
Excel.Range rngFirst = wb.Sheets["Unloaded Q"].Cells[1, 2];
string rangeFirst = rngFirst.get_AddressLocal(false, false, Excel.XlReferenceStyle.xlA1);
Excel.Range rngSecond = wb.Sheets["Unloaded Q"].Cells[j, 2];
string rangeSecond = rngSecond.get_AddressLocal(false, false, Excel.XlReferenceStyle.xlA1);
string range = rangeFirst + ":" + rangeSecond;
Console.WriteLine("range = " + range);
string excel_file = file;
double num_avg = Convert.ToDouble(numberOfAvg.Value);
//Bring file path to the location of the MATLAB script
matlab.Execute(@path);
matlab.PutWorkspaceData("file", "base", excel_file);
matlab.PutWorkspaceData("range", "base", range);
matlab.PutWorkspaceData("Q_Unloaded_Sheet", "base", "Unloaded Q");
matlab.PutWorkspaceData("Q_Loaded_Sheet", "base", "Loaded Q");
matlab.PutWorkspaceData("NA_Q_Sheet", "base", "Q vs. Time");
matlab.PutWorkspaceData("NA_Center_Sheet", "base", "Center Freq.");
matlab.PutWorkspaceData("SVD_Center_Sheet", "base", "SVD Center Frequency");
matlab.PutWorkspaceData("num_avg", "base", num_avg);
string execute = string.Format("[manual_means,manual_stdevs,auto_means,auto_stdevs,sections,indices,a] = q_analysis(file,range,{0},num_avg)", sheetAnalysis.Text);
Console.WriteLine(matlab.Execute("[manual_means,manual_stdevs,auto_means,auto_stdevs,sections,indices,a] = q_analysis(file,range,Q_Loaded_Sheet,num_avg)"));
object sections = getMLData(matlab)[4];
int sectionNum = Convert.ToInt16(sections);
//Creat the new excel result document
doc.createAnalysisDoc(sectionNum, Convert.ToInt16(num_avg));
doc.workbook1.SaveAs(resultPath.Text + resultFileName.Text);
string[] worksheets = new string[6] {
"Loaded Q", "Unloaded Q", "Q vs. Time", "Center Freq.", "Room Temp.", "Cavity Temp."
};
foreach (string sheet in worksheets)
{
Console.WriteLine(sheet);
Excel.Worksheet worksheet = wb.Sheets[sheet];
Excel.ChartObjects charObjects = (Excel.ChartObjects)worksheet.ChartObjects(Type.Missing);
Excel.ChartObject chart = (Excel.ChartObject)charObjects.Item(1);
Excel.Chart myChart = chart.Chart;
Excel.Series series = myChart.SeriesCollection(1);
series.MarkerBackgroundColor = (int)Excel.XlRgbColor.rgbBlue;
series.MarkerForegroundColor = (int)Excel.XlRgbColor.rgbBlue;
}
//Obtain the workspace data returned from the MATLAB Script and fill the new excel file with that data
object indices = getMLData(matlab)[5];
IEnumerable enumerable = indices as IEnumerable;
if (enumerable != null)
{
int i = 1;
j = 1;
int v = 0;
int level = 0;
int sample_count = Convert.ToUInt16(num_avg);
List <double> qLoadedAvg = new List <double>();
List <double> qUnloadedAvg = new List <double>();
List <double> qNAAvg = new List <double>();
List <double> resFreqNAAvg = new List <double>();
List <double> resFreqSVDAvg = new List <double>();
List <double> roomTAvg = new List <double>();
List <double> cavityTAvg = new List <double>();
foreach (object element in enumerable)
{
level = Convert.ToUInt16((num_avg * 2 + 12) * (i - 1));
int index = Convert.ToUInt16(element);
Excel.Worksheet ws = wb.Sheets["Loaded Q"];
Console.WriteLine(ws.Cells[element, 1].text);
string value = Convert.ToString(ws.Cells[element, 1].text);
doc.addData(level + 10 + sample_count + v, 2, value, "analysis");
Excel.ChartObjects charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
Excel.ChartObject chart = (Excel.ChartObject)charObjects.Item(1);
Excel.Chart myChart = chart.Chart;
Excel.Series series = myChart.SeriesCollection(1);
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbRed;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbRed;
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 10 + sample_count + v, 3, value, "analysis");
qLoadedAvg.Add(Convert.ToDouble(value));
ws = wb.Sheets["Unloaded Q"];
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 10 + sample_count + v, 4, value, "analysis");
qUnloadedAvg.Add(Convert.ToDouble(value));
charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
chart = (Excel.ChartObject)charObjects.Item(1);
myChart = chart.Chart;
series = myChart.SeriesCollection(1);
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbRed;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbRed;
ws = wb.Sheets["Q vs. Time"];
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 10 + sample_count + v, 5, value, "analysis");
qNAAvg.Add(Convert.ToDouble(value));
charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
chart = (Excel.ChartObject)charObjects.Item(1);
myChart = chart.Chart;
series = myChart.SeriesCollection(1);
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbRed;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbRed;
ws = wb.Sheets["Center Freq."];
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 10 + sample_count + v, 6, value, "analysis");
resFreqNAAvg.Add(Convert.ToDouble(value));
charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
chart = (Excel.ChartObject)charObjects.Item(1);
myChart = chart.Chart;
series = myChart.SeriesCollection(1);
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbRed;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbRed;
ws = wb.Sheets["SVD Center Frequency"];
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 10 + sample_count + v, 7, value, "analysis");
resFreqSVDAvg.Add(Convert.ToDouble(value));
charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
chart = (Excel.ChartObject)charObjects.Item(1);
myChart = chart.Chart;
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbRed;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbRed;
ws = wb.Sheets["Room Temp."];
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 10 + sample_count + v, 8, value, "analysis");
roomTAvg.Add(Convert.ToDouble(value));
charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
chart = (Excel.ChartObject)charObjects.Item(1);
myChart = chart.Chart;
series = myChart.SeriesCollection(1);
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbRed;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbRed;
ws = wb.Sheets["Cavity Temp."];
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 10 + sample_count + v, 9, value, "analysis");
cavityTAvg.Add(Convert.ToDouble(value));
charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
chart = (Excel.ChartObject)charObjects.Item(1);
myChart = chart.Chart;
series = myChart.SeriesCollection(1);
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbRed;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbRed;
v++;
j++;
if ((j - 1) % (num_avg) == 0)
{
double avg = qLoadedAvg.Sum() / num_avg;
double sd = qLoadedAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / qLoadedAvg.Count);
Console.WriteLine("AVG = " + Convert.ToString(avg));
doc.addData(level + 10 + (2 * sample_count), 3, Convert.ToString(avg), "analysis");
doc.addData(level + 11 + (2 * sample_count), 3, Convert.ToString(sd), "analysis");
qLoadedAvg.Clear();
avg = qUnloadedAvg.Sum() / num_avg;
sd = qUnloadedAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / qUnloadedAvg.Count);
doc.addData(level + 10 + (2 * sample_count), 4, Convert.ToString(Convert.ToString(avg)), "analysis");
doc.addData(level + 11 + (2 * sample_count), 4, Convert.ToString(Convert.ToString(sd)), "analysis");
qUnloadedAvg.Clear();
avg = qNAAvg.Sum() / num_avg;
sd = qNAAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / qNAAvg.Count);
doc.addData(level + 10 + (2 * sample_count), 5, Convert.ToString(Convert.ToString(avg)), "analysis");
doc.addData(level + 11 + (2 * sample_count), 5, Convert.ToString(Convert.ToString(sd)), "analysis");
qNAAvg.Clear();
avg = resFreqNAAvg.Sum() / num_avg;
sd = resFreqNAAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / resFreqNAAvg.Count);
doc.addData(level + 10 + (2 * sample_count), 6, Convert.ToString(Convert.ToString(avg)), "analysis");
doc.addData(level + 11 + (2 * sample_count), 6, Convert.ToString(Convert.ToString(sd)), "analysis");
resFreqNAAvg.Clear();
avg = resFreqSVDAvg.Sum() / num_avg;
sd = resFreqSVDAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / resFreqSVDAvg.Count);
doc.addData(level + 10 + (2 * sample_count), 7, Convert.ToString(Convert.ToString(avg)), "analysis");
doc.addData(level + 11 + (2 * sample_count), 7, Convert.ToString(Convert.ToString(sd)), "analysis");
resFreqSVDAvg.Clear();
avg = roomTAvg.Sum() / num_avg;
sd = roomTAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / roomTAvg.Count);
doc.addData(level + 10 + (2 * sample_count), 8, Convert.ToString(Convert.ToString(avg)), "analysis");
doc.addData(level + 11 + (2 * sample_count), 8, Convert.ToString(Convert.ToString(sd)), "analysis");
roomTAvg.Clear();
avg = cavityTAvg.Sum() / num_avg;
sd = cavityTAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / cavityTAvg.Count);
doc.addData(level + 10 + (2 * sample_count), 9, Convert.ToString(Convert.ToString(avg)), "analysis");
doc.addData(level + 11 + (2 * sample_count), 9, Convert.ToString(Convert.ToString(sd)), "analysis");
cavityTAvg.Clear();
i++;
v = 0;
}
}
}
object a = getMLData(matlab)[6];
enumerable = a as IEnumerable;
if (enumerable != null)
{
int i = 1;
j = 1;
int v = 0;
int level = 0;
List <double> qLoadedAvg = new List <double>();
List <double> qUnloadedAvg = new List <double>();
List <double> qNAAvg = new List <double>();
List <double> resFreqNAAvg = new List <double>();
List <double> resFreqSVDAvg = new List <double>();
List <double> roomTAvg = new List <double>();
List <double> cavityTAvg = new List <double>();
foreach (object element in enumerable)
{
int sample_count = Convert.ToUInt16(num_avg);
level = Convert.ToUInt16((num_avg * 2 + 12) * (i - 1));
int index = Convert.ToUInt16(element);
Excel.Worksheet ws = wb.Sheets["Loaded Q"];
Console.WriteLine(ws.Cells[element, 1].text);
string value = Convert.ToString(ws.Cells[element, 1].text);
doc.addData(level + 5 + v, 2, value, "analysis");
Excel.ChartObjects charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
Excel.ChartObject chart = (Excel.ChartObject)charObjects.Item(1);
Excel.Chart myChart = chart.Chart;
Excel.Series series = myChart.SeriesCollection(1);
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbGreen;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbGreen;
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 5 + v, 3, value, "analysis");
qLoadedAvg.Add(Convert.ToDouble(value));
ws = wb.Sheets["Unloaded Q"];
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 5 + v, 4, value, "analysis");
qUnloadedAvg.Add(Convert.ToDouble(value));
charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
chart = (Excel.ChartObject)charObjects.Item(1);
myChart = chart.Chart;
series = myChart.SeriesCollection(1);
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbGreen;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbGreen;
ws = wb.Sheets["Q vs. Time"];
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 5 + v, 5, value, "analysis");
qNAAvg.Add(Convert.ToDouble(value));
charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
chart = (Excel.ChartObject)charObjects.Item(1);
myChart = chart.Chart;
series = myChart.SeriesCollection(1);
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbGreen;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbGreen;
ws = wb.Sheets["Center Freq."];
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 5 + v, 6, value, "analysis");
resFreqNAAvg.Add(Convert.ToDouble(value));
charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
chart = (Excel.ChartObject)charObjects.Item(1);
myChart = chart.Chart;
series = myChart.SeriesCollection(1);
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbGreen;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbGreen;
ws = wb.Sheets["SVD Center Frequency"];
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 5 + v, 7, value, "analysis");
resFreqSVDAvg.Add(Convert.ToDouble(value));
charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
chart = (Excel.ChartObject)charObjects.Item(1);
myChart = chart.Chart;
series = myChart.SeriesCollection(1);
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbGreen;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbGreen;
ws = wb.Sheets["Room Temp."];
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 5 + v, 8, value, "analysis");
roomTAvg.Add(Convert.ToDouble(value));
charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
chart = (Excel.ChartObject)charObjects.Item(1);
myChart = chart.Chart;
series = myChart.SeriesCollection(1);
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbGreen;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbGreen;
ws = wb.Sheets["Cavity Temp."];
value = Convert.ToString(ws.Cells[element, 2].Value2);
doc.addData(level + 5 + v, 9, value, "analysis");
cavityTAvg.Add(Convert.ToDouble(value));
charObjects = (Excel.ChartObjects)ws.ChartObjects(Type.Missing);
chart = (Excel.ChartObject)charObjects.Item(1);
myChart = chart.Chart;
series = myChart.SeriesCollection(1);
series.Points(element).MarkerForeGroundColor = (int)Excel.XlRgbColor.rgbGreen;
series.Points(element).MarkerBackGroundColor = (int)Excel.XlRgbColor.rgbGreen;
v++;
j++;
if ((j - 1) % (num_avg) == 0)
{
double avg = qLoadedAvg.Sum() / num_avg;
double sd = qLoadedAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / qLoadedAvg.Count);
Console.WriteLine("AVG = " + Convert.ToString(avg));
doc.addData(level + 5 + sample_count, 3, Convert.ToString(avg), "analysis");
doc.addData(level + 6 + sample_count, 3, Convert.ToString(sd), "analysis");
qLoadedAvg.Clear();
avg = qUnloadedAvg.Sum() / num_avg;
sd = qUnloadedAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / qUnloadedAvg.Count);
doc.addData(level + 5 + sample_count, 4, Convert.ToString(Convert.ToString(avg)), "analysis");
doc.addData(level + 6 + sample_count, 4, Convert.ToString(Convert.ToString(sd)), "analysis");
qUnloadedAvg.Clear();
avg = qNAAvg.Sum() / num_avg;
sd = qNAAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / qNAAvg.Count);
doc.addData(level + 5 + sample_count, 5, Convert.ToString(Convert.ToString(avg)), "analysis");
doc.addData(level + 6 + sample_count, 5, Convert.ToString(Convert.ToString(sd)), "analysis");
qNAAvg.Clear();
avg = resFreqNAAvg.Sum() / num_avg;
sd = resFreqNAAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / resFreqNAAvg.Count);
doc.addData(level + 5 + sample_count, 6, Convert.ToString(Convert.ToString(avg)), "analysis");
doc.addData(level + 6 + sample_count, 6, Convert.ToString(Convert.ToString(sd)), "analysis");
resFreqNAAvg.Clear();
avg = resFreqSVDAvg.Sum() / num_avg;
sd = resFreqSVDAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / resFreqSVDAvg.Count);
doc.addData(level + 5 + sample_count, 7, Convert.ToString(Convert.ToString(avg)), "analysis");
doc.addData(level + 6 + sample_count, 7, Convert.ToString(Convert.ToString(sd)), "analysis");
resFreqSVDAvg.Clear();
avg = roomTAvg.Sum() / num_avg;
sd = roomTAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / roomTAvg.Count);
doc.addData(level + 5 + sample_count, 8, Convert.ToString(Convert.ToString(avg)), "analysis");
doc.addData(level + 6 + sample_count, 8, Convert.ToString(Convert.ToString(sd)), "analysis");
roomTAvg.Clear();
avg = cavityTAvg.Sum() / num_avg;
sd = cavityTAvg.Select(x => (x - avg) * (x - avg)).Sum();
sd = Math.Sqrt(sd / cavityTAvg.Count);
doc.addData(level + 5 + sample_count, 9, Convert.ToString(Convert.ToString(avg)), "analysis");
doc.addData(level + 6 + sample_count, 9, Convert.ToString(Convert.ToString(sd)), "analysis");
cavityTAvg.Clear();
i++;
v = 0;
}
}
}
Excel.Range workSheet_range = doc.Analysis.Range[doc.Analysis.Cells[1, 1], doc.Analysis.Cells[10000, 20]];
workSheet_range.Columns.AutoFit();
doc.workbook1.Save();
wb.Save();
wb.Close();
excel.Quit();
Marshal.FinalReleaseComObject(excel);
Marshal.FinalReleaseComObject(books);
Marshal.FinalReleaseComObject(wb);
}
