Mixing
Pivot Data table for missing column names too
I have a data table and converting the data table to another pivot table with rows to column names. I am missing some row names in my data and need to include those to column names as well.
I was successful in converting the rows to columns dynamically, which were present in the data table. I am missing Pickup type "Earliest" in my data
example :
ID PickupType Pickupdate
1 Actual 12/10/2018
1 Planned 12/13/2018
1 Latest 12/13/2018
2 Actual 12/14/2018
2 Planned 12/15/2018
The code:
string uniquedropType = tblpickupdates.AsEnumerable().Select(x => x.Field<string>("PickupType")).Distinct().ToArray();
DataTable p_pickuptable = new DataTable();
p_pickuptable.Columns.Add("ID", typeof(string));
foreach (string colpickuptype in uniquedropType)
{
p_pickuptable.Columns.Add(colpickuptype, typeof(string));
}
var pickupgroups = tblpickupdates.AsEnumerable()
.GroupBy(x => new
{
ID = x.Field<string>("ID"),
}).ToList();
foreach (var pickupgroup in pickupgroups)
{
DataRow newRow = p_pickuptable.Rows.Add();
foreach (DataRow pickuptype in pickupgroup)
{
newRow[pickuptype.Field<string>("PickupType")] = pickuptype.Field<string>("Pickupdate");
}
I am expecting results like below
ID | Actual | Planned | Latest | Earliest
-- |----------- | -----------| ----------- | --------
1 | 12/10/2018| 12/13/2018 | 12/13/2018 | NULL
2 | 12/14/2018 | 12/15/2018 | NULL | NULL
c#
edited Jan 2 at 13:24
Sinatr
13k749146
asked Jan 2 at 13:22
SteveSteve
24
add a comment |
I have a data table and converting the data table to another pivot table with rows to column names. I am missing some row names in my data and need to include those to column names as well.
I was successful in converting the rows to columns dynamically, which were present in the data table. I am missing Pickup type "Earliest" in my data
example :
ID PickupType Pickupdate
1 Actual 12/10/2018
1 Planned 12/13/2018
1 Latest 12/13/2018
2 Actual 12/14/2018
2 Planned 12/15/2018
The code:
string uniquedropType = tblpickupdates.AsEnumerable().Select(x => x.Field<string>("PickupType")).Distinct().ToArray();
DataTable p_pickuptable = new DataTable();
p_pickuptable.Columns.Add("ID", typeof(string));
foreach (string colpickuptype in uniquedropType)
{
p_pickuptable.Columns.Add(colpickuptype, typeof(string));
}
var pickupgroups = tblpickupdates.AsEnumerable()
.GroupBy(x => new
{
ID = x.Field<string>("ID"),
}).ToList();
foreach (var pickupgroup in pickupgroups)
{
DataRow newRow = p_pickuptable.Rows.Add();
foreach (DataRow pickuptype in pickupgroup)
{
newRow[pickuptype.Field<string>("PickupType")] = pickuptype.Field<string>("Pickupdate");
}
I am expecting results like below
ID | Actual | Planned | Latest | Earliest
-- |----------- | -----------| ----------- | --------
1 | 12/10/2018| 12/13/2018 | 12/13/2018 | NULL
2 | 12/14/2018 | 12/15/2018 | NULL | NULL
c#
edited Jan 2 at 13:24
Sinatr
13k749146
asked Jan 2 at 13:22
SteveSteve
24
add a comment |
I have a data table and converting the data table to another pivot table with rows to column names. I am missing some row names in my data and need to include those to column names as well.
I was successful in converting the rows to columns dynamically, which were present in the data table. I am missing Pickup type "Earliest" in my data
example :
ID PickupType Pickupdate
1 Actual 12/10/2018
1 Planned 12/13/2018
1 Latest 12/13/2018
2 Actual 12/14/2018
2 Planned 12/15/2018
The code:
string uniquedropType = tblpickupdates.AsEnumerable().Select(x => x.Field<string>("PickupType")).Distinct().ToArray();
DataTable p_pickuptable = new DataTable();
p_pickuptable.Columns.Add("ID", typeof(string));
foreach (string colpickuptype in uniquedropType)
{
p_pickuptable.Columns.Add(colpickuptype, typeof(string));
}
var pickupgroups = tblpickupdates.AsEnumerable()
.GroupBy(x => new
{
ID = x.Field<string>("ID"),
}).ToList();
foreach (var pickupgroup in pickupgroups)
{
DataRow newRow = p_pickuptable.Rows.Add();
foreach (DataRow pickuptype in pickupgroup)
{
newRow[pickuptype.Field<string>("PickupType")] = pickuptype.Field<string>("Pickupdate");
}
I am expecting results like below
ID | Actual | Planned | Latest | Earliest
-- |----------- | -----------| ----------- | --------
1 | 12/10/2018| 12/13/2018 | 12/13/2018 | NULL
2 | 12/14/2018 | 12/15/2018 | NULL | NULL
c#
edited Jan 2 at 13:24
Sinatr
13k749146
asked Jan 2 at 13:22
SteveSteve
24
I have a data table and converting the data table to another pivot table with rows to column names. I am missing some row names in my data and need to include those to column names as well.
I was successful in converting the rows to columns dynamically, which were present in the data table. I am missing Pickup type "Earliest" in my data
example :
ID PickupType Pickupdate
1 Actual 12/10/2018
1 Planned 12/13/2018
1 Latest 12/13/2018
2 Actual 12/14/2018
2 Planned 12/15/2018
The code:
string uniquedropType = tblpickupdates.AsEnumerable().Select(x => x.Field<string>("PickupType")).Distinct().ToArray();
DataTable p_pickuptable = new DataTable();
p_pickuptable.Columns.Add("ID", typeof(string));
foreach (string colpickuptype in uniquedropType)
{
p_pickuptable.Columns.Add(colpickuptype, typeof(string));
}
var pickupgroups = tblpickupdates.AsEnumerable()
.GroupBy(x => new
{
ID = x.Field<string>("ID"),
}).ToList();
foreach (var pickupgroup in pickupgroups)
{
DataRow newRow = p_pickuptable.Rows.Add();
foreach (DataRow pickuptype in pickupgroup)
{
newRow[pickuptype.Field<string>("PickupType")] = pickuptype.Field<string>("Pickupdate");
}
I am expecting results like below
ID | Actual | Planned | Latest | Earliest
-- |----------- | -----------| ----------- | --------
1 | 12/10/2018| 12/13/2018 | 12/13/2018 | NULL
2 | 12/14/2018 | 12/15/2018 | NULL | NULL
c#
c#
edited Jan 2 at 13:24
Sinatr
13k749146
asked Jan 2 at 13:22
SteveSteve
24
edited Jan 2 at 13:24
Sinatr
13k749146
asked Jan 2 at 13:22
SteveSteve
24
edited Jan 2 at 13:24
Sinatr
13k749146
edited Jan 2 at 13:24
Sinatr
13k749146
edited Jan 2 at 13:24
Sinatr
13k749146
13k749146
asked Jan 2 at 13:22
SteveSteve
24
asked Jan 2 at 13:22
SteveSteve
24
asked Jan 2 at 13:22
SteveSteve
24
24
add a comment |
add a comment |
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