Currently we are doing this by looping through each value of list and dictionary:
private DataTable ChangeToDictionary(List<Dictionary<string,int>> list)
{
DataTable datatTableReturn = new DataTable();
if (list.Count() > 0)
{
Dictionary<string, int> haeders = list.ElementAt(0);
foreach (var colHead in haeders)
{
datatTableReturn.Columns.Add(colHead.Key);
}
}
foreach (var row in list)
{
DataRow dataRow = datatTableReturn.NewRow();
foreach (var col in row)
{
dataRow[col.Key] = col.Value;
}
datatTableReturn.Rows.Add(dataRow);
}
return datatTableReturn;
}
But is there a better way? Looping through so many times doesn't feel good
The answers above don't address the issue of the dictionary having more than 1 row. This solution addresses the issue.
static DataTable ToDataTable(List<Dictionary<string, int>> list)
{
DataTable result = new DataTable();
if (list.Count == 0)
return result;
var columnNames = list.SelectMany(dict=>dict.Keys).Distinct();
result.Columns.AddRange(columnNames.Select(c=>new DataColumn(c)).ToArray());
foreach (Dictionary<string,int> item in list)
{
var row = result.NewRow();
foreach (var key in item.Keys)
{
row[key] = item[key];
}
result.Rows.Add(row);
}
return result;
}
static void Main(string[] args)
{
List<Dictionary<string, int>> it = new List<Dictionary<string, int>>();
Dictionary<string, int> dict = new Dictionary<string, int>();
dict.Add("a", 1);
dict.Add("b", 2);
dict.Add("c", 3);
it.Add(dict);
dict = new Dictionary<string, int>();
dict.Add("bob", 34);
dict.Add("tom", 37);
it.Add(dict);
dict = new Dictionary<string, int>();
dict.Add("Yip Yip", 8);
dict.Add("Yap Yap", 9);
it.Add(dict);
DataTable table = ToDictionary(it);
foreach (DataColumn col in table.Columns)
Console.Write("{0}\t", col.ColumnName);
Console.WriteLine();
foreach (DataRow row in table.Rows)
{
foreach (DataColumn column in table.Columns)
Console.Write("{0}\t", row[column].ToString());
Console.WriteLine();
}
Console.ReadLine();
}
And the output looks like...
a b c bob tom Yip Yip Yap Yap
1 2 3
34 37
8 9
Speed, elegance and reusability don't go together. You always choose more important one, and try to balance other two.
Faster the code, uglier it is.
Prettier it is, less reusable it is.
Here's an example of "elegant" solution, but that goes with it not being very readable.
private static DataTable ToDictionary(List<Dictionary<string, int>> list)
{
DataTable result = new DataTable();
if (list.Count == 0)
return result;
result.Columns.AddRange(
list.First().Select(r => new DataColumn(r.Key)).ToArray()
);
list.ForEach(r => result.Rows.Add(r.Select(c => c.Value).Cast<object>().ToArray()));
return result;
}
Try this
List<Dictionary<string, object>> ListDic;
var stringListDic = JsonConvert.SerializeObject(ListDic);
var dataTable = JsonConvert.DeserializeObject<DataTable>(stringListDic);
Try this:
private DataTable GetDataTableFromDictionaries<T>(List<Dictionary<string, T>> list)
{
DataTable dataTable = new DataTable();
if (list == null || !list.Any()) return dataTable;
foreach (var column in list.First().Select(c => new DataColumn(c.Key, typeof(T))))
{
dataTable.Columns.Add(column);
}
foreach (var row in list.Select(
r =>
{
var dataRow = dataTable.NewRow();
r.ToList().ForEach(c => dataRow.SetField(c.Key, c.Value));
return dataRow;
}))
{
dataTable.Rows.Add(row);
}
return dataTable;
}
How about something like the code below?
Good, because it iterates each row exactly once. It should be pretty quick, I've included obvious exceptions to make the code safer.
private static DataTable DictionariesToDataTable<T>(
IEnumerable<IDictionary<string, T>> source)
{
if (source == null)
{
return null;
}
var result = new DataTable();
using (var e = source.GetEnumerator())
{
if (!e.MoveNext())
{
return result;
}
if (e.Current.Keys.Length == 0)
{
throw new InvalidOperationException();
}
var length = e.Current.Keys.Length;
result.Columns.AddRange(
e.Current.Keys.Select(k => new DataColumn(k, typeof(T))).ToArray());
do
{
if (e.Current.Values.Length != length)
{
throw new InvalidOperationException();
}
result.Rows.Add(e.Current.Values);
}
while (e.MoveNext());
return result;
}
}
try my solution, seems very clean to me:
private DataTable DictonarysToDataTable(List<Dictionary<string, int>> list)
{
DataTable table = new DataTable();
foreach (Dictionary<string,string> dict in list) //for every dictonary in the list ..
{
foreach (KeyValuePair<string,int> entry in dict) //for every entry in every dict
{
if (!myTable.Columns.Contains(entry.Key.ToString()))//if it doesn't exist yet
{
myTable.Columns.Add(entry.Key); //add all it's keys as columns to the table
}
}
table.Rows.Add(dict.Values.ToArray()); //add the the Values of every dict in the list as a new row
}
return table;
}
Edit:
Oh Snap, this works only for one Dictionary .. i didn't think it through.
But maybie you can modify it to work for a List of Dictionarys ..
Give this a try please
DataTable table = new DataTable();
foreach (IDictionary<string, object> row in DeviceTypeReport)
{
foreach (KeyValuePair<string, object> entry in row)
{
if (!table.Columns.Contains(entry.Key.ToString()))
{
table.Columns.Add(entry.Key);
}
}
table.Rows.Add(row.Values.ToArray());
}
private DataTable toDataTable(List<RetirementDiskModelDto> retirementDiskModelDtos)
{
DataTable result = new DataTable();
foreach (var col in retirementDiskModelDtos.FirstOrDefault().Items)
result.Columns.Add(col.Key);
foreach (var row in retirementDiskModelDtos)
{
DataRow newrow = result.NewRow();
foreach (var col in retirementDiskModelDtos.FirstOrDefault().Items)
newrow[col.Key] = col.Value;
result.Rows.Add(newrow);
}
return result;
}
Related
I need to create a DataTable from another DataTable that I have but with only some columns (exactly same rows).
Is there an easy way to do this using LINQ?
I tried:
DataTable dataCopy = dt.AsEnumerable()
.Select(r => new { A = r.Field<string>("Column A"),
B = r.Field<string>("Column B") });
But it doesn't have a "CopyToDataTable" method.
I'm looking for the best performance way to do this because my "source" DataTable is huge!
You can simply copy the dataTable using dataTable.Copy() and remove the unwanted columns from the copied object.
var dt1 = dt.Copy();
dt.Columns.Remove("<columnsToRemove>")
Stopwatch time = new Stopwatch();
time.Start();
//COMPARE YOUR CODE (.Copy, Clone or Develop yourself)
DataTable dtTarget = dtSource.CopyDataTable(new List<string>() { "A", "B" });
foreach (DataColumn column in dtTarget.Columns)
{
Console.WriteLine("ColumnName : {0}", column.ColumnName);
foreach (DataRow row in dtTarget.Rows)
{
Console.WriteLine("Rows : {0}", row[column.ColumnName]);
}
}
time.Stop();
Console.WriteLine("{0}", time.Elapsed);
public static class DataTableHelper
{
public static DataTable CopyDataTable(
this DataTable dtSource,
List<string> columnsName)
{
DataTable dtTarget = new DataTable();
if (dtSource.Columns.Count > 0)
{
foreach (DataColumn columnSource in dtSource.Columns)
{
var columnTargetMapped = columnsName.FirstOrDefault(c => c == columnSource.ColumnName);
if(columnTargetMapped == null)
{
continue;
}
dtTarget.Columns.Add(columnTargetMapped);
foreach (DataRow drSource in dtSource.Rows)
{
var valueColumn = drSource[columnSource];
DataRow drTarget = dtTarget.NewRow();
drTarget[columnTargetMapped] = valueColumn;
dtTarget.Rows.Add(drTarget);
}
}
}
return dtTarget;
}
public static DataTable GetDataTablePart(this DataTable dt, params string[] ColumnNames)
{
var dtPart = new DataTable("TablePart");
var Names = new List<DataColumn>();
foreach (DataColumn Column in dt.Columns)
{
if(ColumnNames.Contains(Column.ColumnName))
{
Names.Add(Column);
}
}
dtPart.Columns.AddRange(Names.ToArray());
foreach(DataRow row in dt.Rows)
{
var NewRow = new object[Names.Count()];
var i = 0;
foreach (var Name in Names)
{
NewRow[i] = row[Name];
i = i + 1;
}
dtPart.LoadDataRow(NewRow, false);
}
return dtPart;
}
linq version....
public static DataTable GetDataTablePart(this DataTable dt, params string[] ColumnNames)
{
var RowCount = 0;
var dtPart = new DataTable("TablePart");
dtPart.Columns.AddRange((from column in dt.Columns.Cast<DataColumn>()
where ColumnNames.Contains(column.ColumnName)
select column).ToArray());
return (from row in dt.AsEnumerable()
let rowCount = RowCount = dt.Rows.Count
let RowValues = (from column in dtPart.Columns.Cast<DataColumn>()
select row[column]).ToArray()
let decCount = RowCount = RowCount - 1
where dtPart.LoadDataRow(RowValues,LoadOption.OverwriteChanges) != default && decCount > 0
select dtPart).FirstOrDefault();
}
I am getting data from data table and convert it into json like this:
public object DataTableToJSON(DataTable table)
{
var list = new List<Dictionary<string, object>>();
foreach (DataRow row in table.Rows)
{
var dict = new Dictionary<string, object>();
foreach (DataColumn col in table.Columns)
{
dict.Add(col.ColumnName,row[col]);
}
list.Add(dict);
}
JavaScriptSerializer serializer = new JavaScriptSerializer();
return serializer.Serialize(list);
}
But while iterating through JSON data , this method is giving key names as column1,column2...(as datatable don't have any column name)
I want the column names should be something like 1,2...
How can I achieve this using above method ?
Change
dict.Add(col.ColumnName,row[col]);
to
var keyName = string.IsNullOrEmpty(col.ColumnName)
? col.Ordinal + 1
: col.ColumnName;
dict.Add(keyName, row[col]);
When you have a column name this will be taken and we you don't have one you will take the index + 1 of the column.
You can build in a Counter
public object DataTableToJSON(DataTable table)
{
var list = new List<Dictionary<string, object>>();
foreach (DataRow row in table.Rows)
{
var dict = new Dictionary<string, object>();
var counter = 1;
foreach (DataColumn col in table.Columns)
{
dict.Add(counter.ToString(),row[col]);
counter++;
}
list.Add(dict);
}
JavaScriptSerializer serializer = new JavaScriptSerializer();
return serializer.Serialize(list);
}
But keep in mind: double keynames are not allowed.
The Ordinal property of the DataColumn object will give you the position of the column, so you can tweak your code to use this.
public object DataTableToJSON(DataTable table)
{
var list = new List<Dictionary<string, object>>();
foreach (DataRow row in table.Rows)
{
var dict = new Dictionary<string, object>();
foreach (DataColumn col in table.Columns)
{
dict.Add((col.Ordinal+1).ToString(),row[col]) ;
}
list.Add(dict);
}
JavaScriptSerializer serializer = new JavaScriptSerializer();
return serializer.Serialize(list);
}
am searching and cracking my brain on how to convert a dynamic list to a databale,
c#, please advise, thanks
List<dynamic>dlist=new List<dynamic>
to
DataTable
I think you looking something like this. Hope it's working for you.
From dynamic list to DataTable:
List<dynamic> dlist=new List<dynamic>
var json = JsonConvert.SerializeObject(dlist);
DataTable dataTable = (DataTable)JsonConvert.DeserializeObject(json, (typeof(DataTable)));
Also to get JsonString from DataTable:
string JSONresult = JsonConvert.SerializeObject(dataTable);
The following is the method through which you can convert any list object to datatable..
public DataTable ConvertToDataTable<T>(IList<T> data)
{
PropertyDescriptorCollection properties =
TypeDescriptor.GetProperties(typeof(T));
DataTable table = new DataTable();
foreach (PropertyDescriptor prop in properties)
table.Columns.Add(prop.Name, Nullable.GetUnderlyingType(prop.PropertyType) ?? prop.PropertyType);
foreach (T item in data)
{
DataRow row = table.NewRow();
foreach (PropertyDescriptor prop in properties)
row[prop.Name] = prop.GetValue(item) ?? DBNull.Value;
table.Rows.Add(row);
}
return table;
}
http://social.msdn.microsoft.com/Forums/vstudio/en-US/6ffcb247-77fb-40b4-bcba-08ba377ab9db/converting-a-list-to-datatable?forum=csharpgeneral
public DataTable ToDataTable<T>(dynamic items)
{
DataTable dtDataTable = new DataTable();
if (items.Count == 0) return dtDataTable;
((IEnumerable)items[0]).Cast<dynamic>().Select(p => p.Name).ToList().ForEach(col => { dtDataTable.Columns.Add(col); });
((IEnumerable)items).Cast<dynamic>().ToList().
ForEach(data =>
{
DataRow dr = dtDataTable.NewRow();
((IEnumerable)data).Cast<dynamic>().ToList().ForEach(Col => { dr[Col.Name] = Col.Value; });
dtDataTable.Rows.Add(dr);
});
return dtDataTable;
}
I don't know why you need this, however, you can use this ObjectShredder using reflection which can convert anything to DataTable, so even dynamic or anonymous types:
Implement CopyToDataTable<T> Where the generic Type T Is Not a DataRow
However, my suggestion is to not name that extension method CopyToDataTable but for example CopyAnyToDataTable to avoid conflicts with the existing extension method CopyToDataTable.
Use this function ,
public static DataTable ConvertToDatatable<T>(this IList<T> data)
{
PropertyDescriptorCollection props =
TypeDescriptor.GetProperties(typeof(T));
DataTable table = new DataTable();
for(int i = 0 ; i < props.Count ; i++)
{
PropertyDescriptor prop = props[i];
table.Columns.Add(prop.Name, prop.PropertyType);
}
object[] values = new object[props.Count];
foreach (T item in data)
{
for (int i = 0; i < values.Length; i++)
{
values[i] = props[i].GetValue(item);
}
table.Rows.Add(values);
}
return table;
}
If the underlying type is ExpandoObject, then you need to check for IDictionary instead of going via reflection. Hopefully this helps someone else in the future:
public static DataTable ConvertToDataTable<T>(IEnumerable<T> data)
{
DataTable table = new DataTable();
foreach (T item in data)
{
if (item is IDictionary<string, object> dict)
{
foreach (var key in dict)
{
table.Columns.Add(key.Key, key.Value?.GetType() ?? typeof(object));
}
break;
}
foreach (var prop in typeof(T).GetProperties())
{
table.Columns.Add(prop.Name, prop.PropertyType);
}
break;
}
DataRow row = null;
foreach (T item in data)
{
if (item is IDictionary<string, object> dict)
{
row = table.NewRow();
foreach (var key in dict)
{
row[key.Key] = key.Value;
}
table.Rows.Add(row);
continue;
}
row = table.NewRow();
foreach (var prop in typeof(T).GetProperties())
{
row[prop.Name] = prop.GetValue(item);
}
table.Rows.Add(row);
}
return table;
}
To Convert the Dynamic List object into DataTable using C#
public DataTable DynamicToDT(List<object> objects)
{
DataTable dt = new DataTable("StudyRecords"); // Runtime Datatable
string[] arr = { "Name", "Department", "CollegeName", "Address" };// Column Name for DataTable
if (objects != null && objects.Count > 0)
{
for (int i = 0; i < objects.Count; i++)
{
dt.Columns.Add(arr[i]);
if (i == 0)
{
var items = objects[0] as IEnumerable<string>;
foreach (var itm in items)
{
DataRow dr1 = dt.NewRow(); // Adding values to Datatable
dr1[arr[i]] = itm;
dt.Rows.Add(dr1);
}
}
else
{
var items = objects[i] as IEnumerable<string>;
int count = 0;
foreach (var itm in items)
{
dt.Rows[count][arr[i]] = itm;
count++;
}
}
}
return dt; // Converted Dynamic list to Datatable
}
return null;
}
public static DataTable DynamicToDT(List objects)
{
var data = objects.ToArray();
if (data.Count() == 0) return null;
var dt = new DataTable();
foreach (var key in ((IDictionary<string, object>)data[0]).Keys)
{
dt.Columns.Add(key);
}
foreach (var d in data)
{
dt.Rows.Add(((IDictionary<string, object>)d).Values.ToArray());
}
return dt;
}
// Obtem a lista dinamica via chamada API
List<dynamic> resultado = ExecutaQuery(sql);
// converte a lista dinamica com o resultado em JSON
string json = JsonConvert.SerializeObject(resultado);
// converte o json em datatable
DataTable dataTable = (DataTable)JsonConvert.DeserializeObject(json, (typeof(DataTable)));
I have a strongly typed class PersonExport. I initially get data into a DataTable and call the following method on the DataTable to convert it to List<PersonExport>:
public static List<T> ConvertToList<T>(DataTable dt, out string message)
{
message = string.Empty;
var list = new List<T>();
try
{
var columnNames = dt.Columns.Cast<DataColumn>()
.Select(c => c.ColumnName)
.ToList();
var properties = typeof(T).GetProperties();
list = dt.AsEnumerable().Select(row =>
{
var objT = Activator.CreateInstance<T>();
foreach (var pro in properties)
{
if (columnNames.Contains(pro.Name))
{
var value = row[pro.Name];
var typeName = value.GetType().FullName;
if (typeName == "MySql.Data.Types.MySqlDateTime")
{
var mySqlDateTime = (MySqlDateTime) value;
if (mySqlDateTime.IsValidDateTime)
{
value = Convert.ToDateTime(mySqlDateTime.ToString());
pro.SetValue(objT, value, null);
}
}
else
{
pro.SetValue(objT, row.IsNull(pro.Name) ? null : value, null);
}
}
}
return objT;
}).ToList();
}
catch (Exception ex)
{
message = (ex.InnerException != null) ? ex.InnerException.Message : ex.Message;
}
return list;
}
However, once I start removing columns from the DataTable returned, it no longer works because the columns in the DataTable don't match up with the properties in the PersonExport list.
I am eventually using the exported list here to export to excel, but it is not working since I have modified by DataTable and it can't Deserialize into a List<PersonExport>:
//Trying to get data into List<object>
List<object> persons = GetPersonExport(query, out message);
var exportData = new Dictionary<string, List<object>> { { "xldata", persons} };
//Deserialize to List<object> to export
var persons = JsonConvert.DeserializeObject<List<object>>(args["xldata"]);
The above line just returns a List of empty objects.
A few things got me thinking, but I am wondering what might be the best approach. I am using the EPPLUS library to export data to excel and it has the option of hiding columns, so would it be better to just export the whole object and hide columns you don't want, this way you avoid the anonymous type or what I can do is still get the whole object, but then convert it to a DataTable and then remove the columns? Thoughts?
All that you want is:
public IEnumerable<object> GetListOfObject()
{
foreach (var prod in TenMostExpensiveProducts().Tables[0].AsEnumerable())
{
yield return prod;
}
}
Or:
TenMostExpensiveProducts().Tables[0].AsEnumerable().Select (x => x).ToList<object>()
But you can get it work more elegant via linq like this:
from prod in TenMostExpensiveProducts().Tables[0].AsEnumerable()
where prod.Field<decimal>("UnitPrice") > 62.500M
select prod
Or like this (AsDynamic is called directly on DataSet):
TenMostExpensiveProducts().AsDynamic().Where (x => x.UnitPrice > 62.500M)
I prefer the last approach while is is the most flexible.
P.S.: Don't forget to connect System.Data.DataSetExtensions.dll reference
List<Dictionary<string, object>> rows = new List<Dictionary<string, object>>();
Dictionary<string, object> row;
foreach (DataRow dr in dt.Rows)
{
row = new Dictionary<string, object>();
foreach (DataColumn col in dt.Columns)
{
row.Add(col.ColumnName, dr[col]);
}
rows.Add(row);
}
StringBuilder sbRes = new StringBuilder();
jSon.Serialize(rows, sbRes);
ret = sbRes.ToString();
I want to add a stored CustomDataGridViewRow into a DataGridView which is binded. Like follows:
CustomDataGridViewRow rowTemplate = new CustomDataGridViewRow();
dataGridView1.RowTemplate = rowTemplate;
Datenbank.cmd =
new SqlCommand("[Terminauswertung_Bericht_Gesamt]", Datenbank.connection);
Datenbank.cmd.CommandType = CommandType.StoredProcedure;
Datenbank.cmd.Parameters.AddWithValue("#berichtsnr", 1);
SqlDataAdapter adapter = new SqlDataAdapter(Datenbank.cmd);
dataSet1.Tables.Clear();
adapter.Fill(dataSet1, "Table");
bs = new BindingSource();
bs.DataSource = dataSet1.Tables["Table"];
dataGridView1.DataSource = bs;
Thought it goes this way:
dataSet1.Tables[0].Rows.Add(Cache.getRow(1));
public class cache
{
Dictionary<int, CustomDataGridViewRow> _cache =
new Dictionary<int, CustomDataGridViewRow>();
public CustomDataGridViewRow getRow(int index)
{
foreach (KeyValuePair<int, CustomDataGridViewRow> dic in _cache)
{
if (dic.Key == index)
return (dic.Value);
}
return (new CustomDataGridViewRow());
}
}
But it only shows me DataGridViewRow { Index=1 } in first cell.
solved it
DataRow newRow =test.Tables[0].NewRow();
newRow.ItemArray = Cache.getRowValues(child);
test.Tables[0].Rows.InsertAt(newRow, c.Index+1);
public string[] getRowValues(int index)
{
List<string> temp = new List<string>();
foreach (KeyValuePair<int, CustomDataGridViewRow> dic in _cache)
{
if (dic.Key == index)
{
foreach (DataGridViewCell cell in dic.Value.Cells)
temp.Add(cell.Value.ToString());
}
}
string[] result = temp.ToArray();
return (result);
}