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将字典绑定到C#中的DataGridView?

[英]Binding a Dictionary to the DataGridView in C#?

I have a dictionary item as below 我有一个字典项目如下

Dictionary<string, List<StrikePrice>>

where 哪里

public class StrikePrice
{
    public string Strike { get; private set; }
    public string Price { get; private set; }

    public StrikePrice(string strike, string price)
    {
        Strike = strike;
        Price = price;
    }
}

and I wish to assign this dictionary to the DataGridView 我希望将此字典分配给DataGridView

this.dataGridViewTest.DataSource = listSmiles;

I understand that a dictionary can't be assigned to the the DataSource as this doesn't derive from the IList interface. 我知道无法将字典分配给DataSource因为它不是从IList接口派生的。

Is there any way I can assign this dictionary element to the datagrid? 有什么办法可以将这个字典元素分配给datagrid吗?

I know this is a bit old, but perhaps it will help someone. 我知道这有点旧,但也许它会对某人有所帮助。 This one line solution worked for me 这一行解决方案对我有用

gridTAV.DataSource = dTAV.Values.ToList<TotalAccountValue>();

gridTAV is a DataGridView. gridTAV是一个DataGridView。 dTAV is a Dictionary. dTAV是一个字典。 The key is a date (not important), and the value is a class. 关键是日期(不重要),值是一个类。

Dictionary<DateTime, TotalAccountValue> dTAV = new Dictionary<DateTime, TotalAccountValue>();

Since the value was a class the "ToArray()" method did not work for me, since it didn't "unpack" the class properties. 由于该值是一个类,“ToArray()”方法对我来说不起作用,因为它没有“解包”类属性。

Note that this does not place the KEY in the grid, but I didn't really need that. 请注意,这不会将KEY放在网格中,但我并不真的需要它。

您是否尝试过使用Dictionary的Values属性?

this.dataGridViewTest.DataSource = listSmiles.Values.ToList();

Yes ,by Calling ToArray of Dictionary 是的,通过Calling ToArray of Dictionary

        var g = this.dataGridView1;
        var s = new Dictionary<string, string>();
        s.Add("1", "Test1");
        s.Add("2", "Test2");
        s.Add("3", "Test3");
        g.DataSource = s.ToArray();

If the question relates to WPF or silverlight, this article gives a solution. 如果问题涉及WPF或silverlight, 本文提供了一个解决方案。

I've been using it and it performs well, even for large numbers of columns. 我一直在使用它,即使对于大量的列,它也表现良好。

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