Today This is the demo to show data from CSV for DAT file without make custom class on tableView in JavaFX 2.0. I call this TableView as Dynamic TableView because the tableview automatically manages the columns and rows.
On my research about the editable on tableView we must have a custom class and implement it to tableView to show as this demo ==> http://docs.oracle.com/javafx/2/ui_controls/table-view.htm
But in this case I can not do it because we don't know how many column example with csv file or .dat file.... I want to do editable on this tableView in this case by add TextField into TableCell. How does it do without make custom class (because you do not how many column ...), and if it must make custom class then how about the design of custom class for this case?
Could you please help me?
private void getDataDetailWithDynamic() {
tblView.getItems().clear();
tblView.getColumns().clear();
tblView.setPlaceholder(new Label("Loading..."));
// #Override
try {
File aFile = new File(txtFilePath.getText());
InputStream is = new BufferedInputStream(new FileInputStream(aFile));
Reader reader = new InputStreamReader(is, "UTF-8");
BufferedReader in = new BufferedReader(reader);
final String headerLine = in.readLine();
final String[] headerValues = headerLine.split("\t");
for (int column = 0; column < headerValues.length; column++) {
tblView.getColumns().add(
createColumn(column, headerValues[column]));
}
// Data:
String dataLine;
while ((dataLine = in.readLine()) != null) {
final String[] dataValues = dataLine.split("\t");
// Add additional columns if necessary:
for (int columnIndex = tblView.getColumns().size(); columnIndex < dataValues.length; columnIndex++) {
tblView.getColumns().add(createColumn(columnIndex, ""));
}
// Add data to table:
ObservableList<StringProperty> data = FXCollections
.observableArrayList();
for (String value : dataValues) {
data.add(new SimpleStringProperty(value));
}
tblView.getItems().add(data);
}
} catch (Exception ex) {
System.out.println("ex: " + ex.toString());
}
for(int i=0; i<tblView.getColumns().size(); i++) {
TableColumn col = (TableColumn)tblView.getColumns().get(i);
col.setPrefWidth(70);
}
}
private TableColumn createColumn(
final int columnIndex, String columnTitle) {
TableColumn column = new TableColumn(DefaultVars.BLANK_CHARACTER);
String title;
if (columnTitle == null || columnTitle.trim().length() == 0) {
title = "Column " + (columnIndex + 1);
} else {
title = columnTitle;
}
Callback<TableColumn, TableCell> cellFactory = new Callback<TableColumn, TableCell>() {
#Override
public TableCell call(TableColumn p) {
System.out.println("event cell");
EditingCellData cellExtend = new EditingCellData();
return cellExtend;
}
};
column.setText(title);
column.setCellValueFactory(cellFactory);
return column;
}
Thanks for your reading.
This is the best way to resolve it ==> https://forums.oracle.com/message/11216643#11216643
I'm really thank for your reading about that.
Thanks
Related
Note: This question may look like a repetition of several question posted on the forum, but I am really stuck on this problem from quite some time and I am not able to solve this issue using the solutions posted for similar questions. I have posted my code here and need help to proceed further
So, here is my issue:
I am writing a Java GUI application which loads a file before performing any processing. There is a waiting time on an average of about 10-15 seconds during which the file is parsed. After this waiting time, what I get see on the GUI is,
The parsed file in the form of individual leaves in the JTree in a Jpanel
Some header information (example: data range) in two individual JTextField
A heat map generated after parsing the data in a different JPanel on the GUI.
The program connects to R to parse the file and read the header information.
Now, I want to use swing worker to put the file reading process on a different thread so that it does not block the EDT. I am not sure how I can build my SwingWorker class so that the process is done in the background and the results for the 3 components are displayed when the process is complete. And, during this file reading process I want to display a JProgressBar.
Here is the code which does the whole process, starting from selection of the file selection menu item. This is in the main GUI method.
JScrollPane spectralFilesScrollPane;
if ((e.getSource() == OpenImagingFileButton) || (e.getSource() == loadRawSpectraMenuItem)) {
int returnVal = fcImg.showOpenDialog(GUIMain.this);
// File chooser
if (returnVal == JFileChooser.APPROVE_OPTION) {
file = fcImg.getSelectedFile();
//JTree and treenode creation
DefaultMutableTreeNode root = new DefaultMutableTreeNode(file);
rawSpectraTree = new JTree(root);
DefaultTreeModel model = (DefaultTreeModel) rawSpectraTree.getModel();
try {
// R connection
rc = new RConnection();
final String inputFileDirectory = file.getParent();
System.out.println("Current path: " + currentPath);
rc.assign("importImagingFile", currentPath.concat("/importImagingFile.R"));
rc.eval("source(importImagingFile)");
rc.assign("currentWorkingDirectory", currentPath);
rc.assign("inputFileDirectory", inputFileDirectory);
rawSpectrumObjects = rc.eval("importImagingFile(inputFileDirectory,currentWorkingDirectory)");
rc.assign("plotAverageSpectra", currentPath.concat("/plotAverageSpectra.R"));
rc.eval("source(plotAverageSpectra)");
rc.assign("rawSpectrumObjects", rawSpectrumObjects);
REXP averageSpectraObject = rc.eval("plotAverageSpectra(rawSpectrumObjects)");
rc.assign("AverageMassSpecObjectToSpectra", currentPath.concat("/AverageMassSpecObjectToSpectra.R"));
rc.eval("source(AverageMassSpecObjectToSpectra)");
rc.assign("averageSpectraObject", averageSpectraObject);
REXP averageSpectra = rc.eval("AverageMassSpecObjectToSpectra(averageSpectraObject)");
averageSpectraMatrix = averageSpectra.asDoubleMatrix();
String[] spectrumName = new String[rawSpectrumObjects.asList().size()];
for (int i = 0; i < rawSpectrumObjects.asList().size(); i++) {
DefaultMutableTreeNode node = new DefaultMutableTreeNode("Spectrum_" + (i + 1));
model.insertNodeInto(node, root, i);
}
// Expand all the nodes of the JTree
for(int i=0;i< model.getChildCount(root);++i){
rawSpectraTree.expandRow(i);
}
DefaultMutableTreeNode firstLeaf = ((DefaultMutableTreeNode)rawSpectraTree.getModel().getRoot()).getFirstLeaf();
rawSpectraTree.setSelectionPath(new TreePath(firstLeaf.getPath()));
updateSpectralTableandChartRAW(firstLeaf);
// List the min and the max m/z of in the respective data fields
rc.assign("dataMassRange", currentPath.concat("/dataMassRange.R"));
rc.eval("source(dataMassRange)");
rc.assign("rawSpectrumObjects", rawSpectrumObjects);
REXP massRange = rc.eval("dataMassRange(rawSpectrumObjects)");
double[] massRangeValues = massRange.asDoubles();
minMzValue = (float)massRangeValues[0];
maxMzValue = (float)massRangeValues[1];
GlobalMinMz = minMzValue;
GlobalMaxMz = maxMzValue;
// Adds the range values to the jTextField
minMz.setText(Float.toString(minMzValue));
minMz.validate();
minMz.repaint();
maxMz.setText(Float.toString(maxMzValue));
maxMz.validate();
maxMz.repaint();
// Update status bar with the uploaded data details
statusLabel.setText("File name: " + file.getName() + " | " + "Total spectra: " + rawSpectrumObjects.asList().size() + " | " + "Mass range: " + GlobalMinMz + "-" + GlobalMaxMz);
// Generates a heatmap
rawIntensityMap = gim.generateIntensityMap(rawSpectrumObjects, currentPath, minMzValue, maxMzValue, Gradient.GRADIENT_Rainbow, "RAW");
rawIntensityMap.addMouseListener(this);
rawIntensityMap.addMouseMotionListener(this);
imagePanel.add(rawIntensityMap, BorderLayout.CENTER);
coordinates = new JLabel();
coordinates.setBounds(31, 31, rawIntensityMap.getWidth() - 31, rawIntensityMap.getHeight() - 31);
panelRefresh(imagePanel);
tabbedSpectralFiles.setEnabledAt(1, false);
rawSpectraTree.addTreeSelectionListener(new TreeSelectionListener() {
#Override
public void valueChanged(TreeSelectionEvent e) {
try {
DefaultMutableTreeNode selectedNode =
(DefaultMutableTreeNode) rawSpectraTree.getLastSelectedPathComponent();
int rowCount = listTableModel.getRowCount();
for (int l = 0; l < rowCount; l++) {
listTableModel.removeRow(0);
}
updateSpectralTableandChartRAW(selectedNode);
} catch (RserveException e2) {
e2.printStackTrace();
} catch (REXPMismatchException e1) {
e1.printStackTrace();
}
}
});
spectralFilesScrollPane = new JScrollPane();
spectralFilesScrollPane.setViewportView(rawSpectraTree);
spectralFilesScrollPane.setPreferredSize(rawFilesPanel.getSize());
rawFilesPanel.add(spectralFilesScrollPane);
tabbedSpectralFiles.validate();
tabbedSpectralFiles.repaint();
rawImage.setEnabled(true);
peakPickedImage.setEnabled(false);
loadPeakListMenuItem.setEnabled(true); //active now
loadPeaklistsButton.setEnabled(true); //active now
propertiesMenuItem.setEnabled(true); // active now
propertiesButton.setEnabled(true); //active now
} catch (RserveException e1) {
JOptionPane.showMessageDialog(this,
"There was an error in the R connection. Please try again!", "Error",
JOptionPane.ERROR_MESSAGE);
} catch (REXPMismatchException e1) {
JOptionPane.showMessageDialog(this,
"Operation requested is not supported by the given R object type. Please try again!", "Error",
JOptionPane.ERROR_MESSAGE);
}
// hideProgress();
}
}
I tried creating a SwingWorker class, but I am totally confused how I can get all the three outputs on the GUI, plus have a progress bar. It is not complete, but I don't know how to proceed further.
public class FileReadWorker extends SwingWorker<REXP, String>{
private static void failIfInterrupted() throws InterruptedException {
if (Thread.currentThread().isInterrupted()) {
throw new InterruptedException("Interrupted while loading imaging file!");
}
}
// The file that is being read
private final File fileName;
private JTree rawSpectraTree;
private RConnection rc;
private REXP rawSpectrumObjects;
private double[][] averageSpectraMatrix;
private Path currentRelativePath = Paths.get("");
private final String currentPath = currentRelativePath.toAbsolutePath().toString();
final JProgressBar progressBar = new JProgressBar();
// public FileReadWorker(File fileName)
// {
// this.fileName = fileName;
// System.out.println("I am here");
// }
public FileReadWorker(final JProgressBar progressBar, File fileName) {
this.fileName = fileName;
addPropertyChangeListener(new PropertyChangeListener() {
public void propertyChange(PropertyChangeEvent evt) {
if ("progress".equals(evt.getPropertyName())) {
progressBar.setValue((Integer) evt.getNewValue());
}
}
});
progressBar.setVisible(true);
progressBar.setStringPainted(true);
progressBar.setValue(0);
setProgress(0);
}
#Override
protected REXP doInBackground() throws Exception {
System.out.println("I am here... in background");
DefaultMutableTreeNode root = new DefaultMutableTreeNode(fileName);
rawSpectraTree = new JTree(root);
DefaultTreeModel model = (DefaultTreeModel) rawSpectraTree.getModel();
rc = new RConnection();
final String inputFileDirectory = fileName.getParent();
rc.assign("importImagingFile", currentPath.concat("/importImagingFile.R"));
rc.eval("source(importImagingFile)");
rc.assign("currentWorkingDirectory", currentPath);
rc.assign("inputFileDirectory", inputFileDirectory);
rawSpectrumObjects = rc.eval("importImagingFile(inputFileDirectory,currentWorkingDirectory)");
rc.assign("plotAverageSpectra", currentPath.concat("/plotAverageSpectra.R"));
rc.eval("source(plotAverageSpectra)");
rc.assign("rawSpectrumObjects", rawSpectrumObjects);
REXP averageSpectraObject = rc.eval("plotAverageSpectra(rawSpectrumObjects)");
rc.assign("AverageMassSpecObjectToSpectra", currentPath.concat("/AverageMassSpecObjectToSpectra.R"));
rc.eval("source(AverageMassSpecObjectToSpectra)");
rc.assign("averageSpectraObject", averageSpectraObject);
REXP averageSpectra = rc.eval("AverageMassSpecObjectToSpectra(averageSpectraObject)");
averageSpectraMatrix = averageSpectra.asDoubleMatrix();
for (int i = 0; i < rawSpectrumObjects.asList().size(); i++) {
DefaultMutableTreeNode node = new DefaultMutableTreeNode("Spectrum_" + (i + 1));
model.insertNodeInto(node, root, i);
}
// Expand all the nodes of the JTree
for(int i=0;i< model.getChildCount(root);++i){
rawSpectraTree.expandRow(i);
}
return averageSpectra;
}
#Override
public void done() {
setProgress(100);
progressBar.setValue(100);
progressBar.setStringPainted(false);
progressBar.setVisible(false);
}
}
Any help would be very much appreciated.
I am trying to write a text classifier in Weka with Naive Bayes. I have a collection of Foursquare tips as training data with close to 500 of them marked as positive and approximately same marked as negative in an excel file. The input file has two columns with first one being the tip text and second one the marked polarity. I am using AFINN-111.txt to add an attribute to enhance the output. It calculates all the polar words in that tip and gives a final score of all the words. Here is my entire code:
public class DataReader {
static Map<String, Integer> affinMap = new HashMap<String, Integer>();
public List<List<Object>> createAttributeList() {
ClassLoader classLoader = getClass().getClassLoader();
initializeAFFINMap(classLoader);
File inputWorkbook = new File(classLoader
.getResource("Tip_dataset2.xls").getFile());
Workbook w;
Sheet sheet = null;
try {
w = Workbook.getWorkbook(inputWorkbook);
// Get the first sheet
sheet = w.getSheet(0);
} catch (Exception e) {
e.printStackTrace();
}
List<List<Object>> attributeList = new ArrayList<List<Object>>();
for (int i = 1; i < sheet.getRows(); i++) {
String tip = sheet.getCell(0, i).getContents();
tip = tip.replaceAll("'", "");
tip = tip.replaceAll("\"", "");
tip = tip.replaceAll("%", " percent");
tip = tip.replaceAll("#", " ATAUTHOR");
String polarity = getPolarity(sheet.getCell(1, i).getContents());
int affinScore = 0;
String[] arr = tip.split(" ");
for (int j = 0; j < arr.length; j++) {
if (affinMap.containsKey(arr[j].toLowerCase())) {
affinScore = affinScore
+ affinMap.get(arr[j].toLowerCase());
}
}
List<Object> attrs = new ArrayList<Object>();
attrs.add(tip);
attrs.add(affinScore);
attrs.add(polarity);
attributeList.add(attrs);
}
return attributeList;
}
private String getPolarity(String cell) {
if (cell.equalsIgnoreCase("positive")) {
return "positive";
} else {
return "negative";
}
}
private void initializeAFFINMap(ClassLoader classLoader) {
try {
InputStream stream = classLoader
.getResourceAsStream("AFINN-111.txt");
DataInputStream in = new DataInputStream(stream);
BufferedReader br = new BufferedReader(new InputStreamReader(in));
String str;
while ((str = br.readLine()) != null) {
String[] array = str.split("\t");
affinMap.put(array[0], Integer.parseInt(array[1]));
}
in.close();
} catch (Exception e) {
e.printStackTrace();
}
}
public static void main(String[] args) throws Exception {
List<List<Object>> attrList=new DataReader().createAttributeList();
new CreateTrainedModel().createTrainingData(attrList);
}
}
Here is the actual classifier class:
public class CreateTrainedModel {
public void createTrainingData(List<List<Object>> attrList)
throws Exception {
Attribute tip = new Attribute("tip", (FastVector) null);
Attribute affin = new Attribute("affinScore");
FastVector pol = new FastVector(2);
pol.addElement("positive");
pol.addElement("negative");
Attribute polaritycl = new Attribute("polarity", pol);
FastVector inputDataDesc = new FastVector(3);
inputDataDesc.addElement(tip);
inputDataDesc.addElement(affin);
inputDataDesc.addElement(polaritycl);
Instances dataSet = new Instances("dataset", inputDataDesc,
attrList.size());
// Set class index
dataSet.setClassIndex(2);
for (List<Object> onList : attrList) {
Instance in = new Instance(3);
in.setValue((Attribute) inputDataDesc.elementAt(0), onList.get(0)
.toString());
in.setValue((Attribute) inputDataDesc.elementAt(1),
Integer.parseInt(onList.get(1).toString()));
in.setValue((Attribute) inputDataDesc.elementAt(2), onList.get(2)
.toString());
dataSet.add(in);
}
Filter f = new StringToWordVector();
f.setInputFormat(dataSet);
dataSet = Filter.useFilter(dataSet, f);
Classifier model = (Classifier) new NaiveBayes();
try {
model.buildClassifier(dataSet);
} catch (Exception e1) { // TODO Auto-generated catch block
e1.printStackTrace();
}
ObjectOutputStream oos = new ObjectOutputStream(new FileOutputStream(
"FS-TipsNaiveBayes.model"));
oos.writeObject(model);
oos.flush();
oos.close();
FastVector fvWekaAttributes1 = new FastVector(3);
fvWekaAttributes1.addElement(tip);
fvWekaAttributes1.addElement(affin);
Instance in = new Instance(3);
in.setValue((Attribute) fvWekaAttributes1.elementAt(0),
"burger here is good");
in.setValue((Attribute) fvWekaAttributes1.elementAt(1), 0);
Instances testSet = new Instances("dataset", fvWekaAttributes1, 1);
in.setDataset(testSet);
double[] fDistribution = model.distributionForInstance(in);
System.out.println(fDistribution);
}
}
The problem I am facing is with any input the output distribution is always in the range of [0.52314376998377, 0.47685623001622995]. And it is always more towards the positive than the negative. These figures do not change drastically. Any idea what wrong am I doing?
I didn't read your code, but one thing I can say is that the AFFIN score is normalized between a certain range. If your output is more towards a positive range then you need to change your classification cost function, because it is overfitting your data.
I have list of objects and i converted those into data table now i am unable to export those into excel
Below is the sample code
class Program
{
static void Main(string[] args)
{
Student s1 = new Student("Student-A",100);
Student s2 = new Student("Student-B", 90);
Student s3 = new Student("Student-C", 80);
List<Student> studentList = new List<Student>() { s1,s2,s3};
ListToDataTable converter = new ListToDataTable();
DataTable dt = converter.ToDataTable(studentList);
Console.WriteLine();
}
}
Below is the student class which has two properties
class Student
{
public string Name { get; set; }
public int? Score { get; set; }
public Student(string name,int? score)
{
this.Name = name;
this.Score = score;
}
}
Below is the class used for converting list of objects to data table
public class ListToDataTable
{
public DataTable ToDataTable<T>(List<T> items)
{
DataTable dataTable = new DataTable(typeof(T).Name);
PropertyInfo[] Props = typeof(T).GetProperties(BindingFlags.Public | BindingFlags.Instance);
foreach (PropertyInfo prop in Props)
{
dataTable.Columns.Add(prop.Name);
}
foreach (T item in items)
{
var values = new object[Props.Length];
for (int i = 0; i < Props.Length; i++)
{
values[i] = Props[i].GetValue(item, null);
}
dataTable.Rows.Add(values);
}
return dataTable;
}
}
Try to create a simple CSV file from your DataTable.
You can use the following DataTable extension, after you have converted your list to a DataTable.
public static string ToCSV(this DataTable table)
{
var result = new StringBuilder();
for (int i = 0; i < table.Columns.Count; i++)
{
result.Append(table.Columns[i].ColumnName);
result.Append(i == table.Columns.Count - 1 ? "\n" : ",");
}
foreach (DataRow row in table.Rows)
{
for (int i = 0; i < table.Columns.Count; i++)
{
result.Append(row[i].ToString());
result.Append(i == table.Columns.Count - 1 ? "\n" : ",");
}
}
return result.ToString();
}
Example of usage :
// replace with your data table here
DataTable dt = new DataTable();
var bytes = Encoding.GetEncoding("iso-8859-1").GetBytes(dt.ToCSV());
MemoryStream stream = new MemoryStream(bytes);
StreamReader reader = new StreamReader(stream);
Response.Clear();
Response.Buffer = true;
Response.AddHeader("content-disposition", string.Format("attachment;filename={0}.csv", "filename"));
Response.ContentType = "application/text";
Response.ContentEncoding = Encoding.Unicode;
Response.Output.Write(reader.ReadToEnd());
Response.Flush();
Response.End();
Since you have this tagged as interop, I went that route (no need to create a csv file, just export directly to excel).
This solution is not the prettiest, but it works. I've also changed it some as you can export your studentList directly to excel (no need to convert it to a dataTable first).
First thing, in your solution, you need to add a reference to "Microsoft.Office.Interop.Excel". To do this, right click on "References" in Solution Explorer, then "Add Reference", then click on the ".NET" tab, then scroll down to find it.
Once that is done, update your code as follows:
using System;
using System.Collections.Generic;
using Excel = Microsoft.Office.Interop.Excel;
static void Main()
{
var s1 = new Student("Student-A", 100);
var s2 = new Student("Student-B", 90);
var s3 = new Student("Student-C", 80);
var studentList = new List<Student> { s1, s2, s3 };
// Create an excel sheet
var xlApp = new Excel.Application { Visible = true }; // Create instance of Excel and make it visible.
xlApp.Workbooks.Add(Excel.XlSheetType.xlWorksheet); // Create a workbook (WB)
var xlWS = (Excel.Worksheet)xlApp.ActiveSheet; // Reference the active worksheet (WS)
xlWS.Name = "Exported Student"; // Name the worksheet
// Add Header fields to Excel [row, column]
var r = 1;
xlWS.Cells[r, 1] = "Name";
xlWS.Cells[r, 2] = "Score";
// Copy data from StudentList to Excel
foreach (Student student in studentList)
{
r++;
xlWS.Cells[r, 1] = student.Name;
xlWS.Cells[r, 2] = student.Score;
}
}
This will automatically export your studentList to an excel sheet. There wasn't a need for the ListToDataTable class.
using System;
namespace jagged_array
{
class Program
{
static void Main(string[] args)
{
string[][] Members = new string[10][]{
new string[]{"amit","amit#gmail.com", "9999999999"},
new string[]{"chandu","chandu#gmail.com","8888888888"},
new string[]{"naveen","naveen#gmail.com", "7777777777"},
new string[]{"ramu","ramu#gmail.com", "6666666666"},
new string[]{"durga","durga#gmail.com", "5555555555"},
new string[]{"sagar","sagar#gmail.com", "4444444444"},
new string[]{"yadav","yadav#gmail.com", "3333333333"},
new string[]{"suraj","suraj#gmail.com", "2222222222"},
new string[]{"niharika","niharika#gmail.com","11111111111"},
new string[]{"anusha","anusha#gmail.com", "0000000000"},
};
for (int i =0; i < Members.Length; i++)
{
System.Console.Write("Name List ({0}):", i + 1);
for (int j = 0; j < Members[i].Length; j++)
{
System.Console.Write(Members[i][j] + "\t");
}
System.Console.WriteLine();
}``
Console.ReadKey();
}
}
}
The above is the code for my C# console program in which i used jagged array and i assigned values manually but now my requirement is 'without assigning manually into array i want the same details to import into my program from an csv file(which is at some location in my disc). So how to do it what functions should i make use , please help me with some example. Thank you.
static void Main()
{
string csv_file_path=#"C:\Users\Administrator\Desktop\test.csv";
DataTable csvData = GetDataTabletFromCSVFile(csv_file_path);
Console.WriteLine("Rows count:" + csvData.Rows.Count);
Console.ReadLine();
}
private static DataTable GetDataTabletFromCSVFile(string csv_file_path)
{
DataTable csvData = new DataTable();
try
{
using(TextFieldParser csvReader = new TextFieldParser(csv_file_path))
{
csvReader.SetDelimiters(new string[] { "," });
csvReader.HasFieldsEnclosedInQuotes = true;
string[] colFields = csvReader.ReadFields();
foreach (string column in colFields)
{
DataColumn datecolumn = new DataColumn(column);
datecolumn.AllowDBNull = true;
csvData.Columns.Add(datecolumn);
}
while (!csvReader.EndOfData)
{
string[] fieldData = csvReader.ReadFields();
//Making empty value as null
for (int i = 0; i < fieldData.Length; i++)
{
if (fieldData[i] == "")
{
fieldData[i] = null;
}
}
csvData.Rows.Add(fieldData);
}
}
}
catch (Exception ex)
{
}
return csvData;
}
Treat the CSV file like an excel workbook and you will find a lot of examples on the web for what you need to do.
ExcelFile ef = new ExcelFile();
// Loads file.
ef.LoadCsv("filename.csv");
// Selects first worksheet.
ExcelWorksheet ws = ef.Worksheets[0];
I won't go into details, but you can read lines text from a file with File.ReadAllLines.
Once you have those lines, you can split them into parts using String.Split (at least this will work if the CSV file contains very simple information as in your example).
I am trying to implement simple paging on my sharepoint webpart. I have a single news articles list which has some simple columns. I want to be able to have then five on a page and with some numerical paging at the bottom. I have gone through the net trying to understand splistitemcollectionposition but with no luck. If anyone can help please can you give me a simple code example or some guidanc
Many thanks
Chris
I would suggest using SPDataSource and a SPGridView, together they will implement paging and many other cool features with minimal or no code.
Use this a a guide for some of the classes/methods/properties you might need to use to get paging to work. Be aware that this code does not compile, i have just pulled together various code snippets that i have in my own list results framework, which includes paging, sorting, grouping and caching. It should be enough to get you started though.
public class PagedListResults : System.Web.UI.WebControls.WebParts.WebPart {
protected SPPagedGridView oGrid;
protected override void CreateChildControls() {
this.oGrid = new SPPagedGridView();
oGrid.AllowPaging = true;
oGrid.PageIndexChanging += new GridViewPageEventHandler(oGrid_PageIndexChanging);
oGrid.PagerTemplate = null; // Must be called after Controls.Add(oGrid)
oGrid.PagerSettings.Mode = PagerButtons.NumericFirstLast;
oGrid.PagerSettings.PageButtonCount = 3;
oGrid.PagerSettings.Position = PagerPosition.TopAndBottom;
base.CreateChildControls();
}
public override void DataBind() {
base.DataBind();
SPQuery q = new SPQuery();
q.RowLimit = (uint)info.PageSize;
if (!string.IsNullOrEmpty(info.PagingInfoData)) {
SPListItemCollectionPosition pos = new SPListItemCollectionPosition(info.PagingInfoData);
q.ListItemCollectionPosition = pos;
} else {
//1st page, dont need a position, and using a position breaks things
}
q.Query = info.Caml;
SPListItemCollection items = SPContext.Current.List.GetItems(q);
FilterInfo info = null;
string tmp = "<View></View>";
tmp = tmp.Replace("<View><Query>", string.Empty);
tmp = tmp.Replace("</Query></View>", string.Empty);
info.Caml = tmp;
info.PagingInfoData = string.Empty;
info.CurrentPage = oGrid.CurrentPageIndex;
info.PageSize = oGrid.PageSize;
if (oGrid.PageIndex == 0 || oGrid.CurrentPageIndex == 0) {
//do nothing
} else {
StringBuilder value = new StringBuilder();
value.Append("Paged=TRUE");
value.AppendFormat("&p_ID={0}", ViewState[KEY_PagingPrefix + "ID:" + oGrid.PageIndex]);
info.PagingInfoData = value.ToString();
}
int pagecount = (int)Math.Ceiling(items.Count / (double)oGrid.PageSize);
for (int i = 1; i < pagecount; i++) { //not always ascending index numbers
ResultItem item = items[(i * oGrid.PageSize) - 1];
ViewState[KEY_PagingPrefix + "ID:" + i] = item.ID;
}
oGrid.VirtualCount = items.Count;
DateTime time3 = DateTime.Now;
DataTable table = new DataTable("Data");
DataBindListData(table, items);
this.oGrid.DataSource = table;
this.oGrid.DataBind();
this.oGrid.PageIndex = oGrid.CurrentPageIndex; //need to reset this after DataBind
}
void oGrid_PageIndexChanging(object sender, GridViewPageEventArgs e) {
oGrid.PageIndex = e.NewPageIndex;
oGrid.CurrentPageIndex = oGrid.PageIndex;
}
}
public class FilterInfo {
public string Caml;
public string PagingInfoData;
public int CurrentPage;
public int PageSize;
}
public class SPPagedGridView : SPGridView {
protected override void InitializePager(GridViewRow row, int columnSpan, PagedDataSource pagedDataSource) {
pagedDataSource.AllowCustomPaging = true;
pagedDataSource.VirtualCount = virtualcount;
pagedDataSource.CurrentPageIndex = currentpageindex;
base.InitializePager(row, columnSpan, pagedDataSource);
}
private int virtualcount = 0;
public int VirtualCount {
get { return virtualcount; }
set { virtualcount = value; }
}
private int currentpageindex = 0;
public int CurrentPageIndex {
get { return currentpageindex; }
set { currentpageindex = value; }
}
}
check out my post on how to page using SPListItemCollectionPosition, I did a component to page over lists, maybe it can help -> http://hveiras.wordpress.com/2011/11/07/listpagert-using-splistitemcollectionposition/