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Clear particular column values in DataTable


Clear particular column values in DataTable

By : Gabriel Cyr
Date : November 26 2020, 01:01 AM
With these it helps I have data table with Four fields Emp_No, AmountPaid, Amount_Adjusted, Adjustment_Reason , You can write something like this:
code :


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Clear multiple column values in DataTable

Clear multiple column values in DataTable


By : Dwie Hidayat
Date : March 29 2020, 07:55 AM
Any of those help I have a data table with 3 columns namely Column1, Column2 and Column3 with data. I can clear single column values using the following code. , As simple as that :)
code :
dtTable.Rows.OfType<DataRow>().ToList().ForEach(r => 
{
   r["Column1"] = DBNull.Value;
   r["Column2"] = DBNull.Value;
});
Linq - Filter datatable based on other datatable column values

Linq - Filter datatable based on other datatable column values


By : Plush Mouse
Date : March 29 2020, 07:55 AM
I hope this helps you . The easiest way to filter a DataTable is to use the RowFilter property.
Example:
code :
Dim dt1 = New DataTable()
dt1.Columns.Add("id", GetType(Integer))
dt1.Rows.Add(New Object() {1})
dt1.Rows.Add(New Object() {3})
dt1.Rows.Add(New Object() {5})

Dim dt2 = New DataTable()
dt2.Columns.Add("id", GetType(Integer))
dt2.Columns.Add("value", GetType(String))
dt2.Rows.Add(New Object() {1, "Foo"})
dt2.Rows.Add(New Object() {2, "Bar"})
dt2.Rows.Add(New Object() {3, "Foo"})
dt2.Rows.Add(New Object() {4, "Bar"})
dt2.Rows.Add(New Object() {5, "Foo"})


Dim ids = dt1.AsEnumerable().Select(Function(r) CInt(r(0)))
dt2.DefaultView.RowFilter = String.Format("id not in ({0})", String.Join(",", ids))
What is the difference between assigning a new DataTable, DataTable.Clear(), DataTable.Reset() and DataTable.Rows.Clear(

What is the difference between assigning a new DataTable, DataTable.Clear(), DataTable.Reset() and DataTable.Rows.Clear(


By : user2189881
Date : March 29 2020, 07:55 AM
I wish this help you new DataTable() assigns a new object to the variable referenced, by default all meta data weill be removed from DataTable.
DataTable.Clear() as per MSDN
How to clear datatable values when using two datatables?

How to clear datatable values when using two datatables?


By : user3277541
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further You Have dt as Global variable in Class So Please Make it Local variable for Function or Assign new DataTable on starting of gettable function.
Your revised Code should be
code :
 public class Connection
{
 conn = new SqlConnection(ConfigurationManager.ConnectionStrings["ApplicationServices"].ConnectionString);
public SqlDataAdapter ad;

public DataTable gettable(string cmdtxt)
{
    DataTable dt = new DataTable();
    if (conn.State == ConnectionState.Open)
    {
        conn.Close();
    }
    conn.Open();

    dt.Clear();

    ad = new SqlDataAdapter(cmdtxt, conn);
    ad.Fill(dt);
    return dt;
}
}
public class Dropdown
{

Connection con = new Connection();
public void dropdwnlist(string qry, DropDownList ddl)
{
DataTable dt =con.gettable(qry);
   if (dt.Rows.Count > 0)
   {
       if (dt.Columns.Count == 2)
       {
           string str1 = dt.Columns[0].ColumnName.ToString();
           string str2 = dt.Columns[1].ColumnName.ToString();
           ddl.DataValueField = str1;
           ddl.DataTextField = str2;
           ddl.DataSource = dt;
           ddl.DataBind();
           dt.Columns.Remove(str1);
           dt.Columns.Remove(str2);

       }
       else
       {  
           string str = dt.Columns[0].ColumnName.ToString();
           ddl.DataValueField = str;
           ddl.DataTextField = str;
           ddl.DataSource = dt;
           ddl.DataBind();
           dt.Columns.Remove(str);
       }

   } 
       ddl.Items.Insert(0, ("--Select--"));
    }
 }  
R convert Datatable distinct column values to column names and column values as values from another column

R convert Datatable distinct column values to column names and column values as values from another column


By : DangerH
Date : March 29 2020, 07:55 AM
Hope that helps We can use acast to convert from 'long' to 'wide' format. The resulting dataset will be a matrix.
code :
library(reshape2)
acast(df1, Column_Two~Column_One, value.var="Column_Three")
#   A   B   C
#1  4  44  43
#2  3  32 310
#3 77 770  68
 lst <- lapply(split(df2[-1], df2$Column_Zero), function(x) 
         acast(x, Column_Two~Column_One,value.var="Column_Three"))

lst
#$XX
#   A   B   C
#1  4  44  43
#2  3  32 310
#3 77 770  68

#$YY
#  A1  B1  C1 D2
#1  4  44  43  4
#2  3  32 310  5
#3 77 770  68  6
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