Medium_ML.NET ShowData.cs

ShowData.cs

public void ShowData(IDataView data, int colWidth = 15, int numRows = 10)
{
    var previewObject = data.Preview(numRows);
    int NumberOfColumns = previewObject.ColumnView.Length;
    string output ="";
    int rowWidth = (NumberOfColumns*(colWidth-1));
    for (int i = 0; i < NumberOfColumns; i++)
    {
        output += ColValue(previewObject.ColumnView[i].Column.Name.ToString()) + '|';
    }
    output += Environment.NewLine;            
    output += new String('-', rowWidth).ToString();
    output += MakeRows();
    string MakeRows()
    {
        string outRow = "";
        foreach (DataDebuggerPreview.RowInfo row in previewObject.RowView) 
        {
            outRow += Environment.NewLine;
            foreach (var item in row.Values){
                outRow += ColValue(item.Value.ToString())+ '|';
            }
        }
        return outRow;
    }            
    string ColValue(string value, char fill = ' ')
    {
        int valLength = value.Length;
        string valueToWrite = "";
        if (valLength > colWidth-4) 
        {
            valueToWrite = value.Substring(0,colWidth-4);
        }
        else
        {
            if(valLength%2==0)
            {
                int numspaces = ((colWidth-4) - valLength)/2;
                valueToWrite = (new String(fill, numspaces)) + value + (new String(fill, numspaces));
            }
            else
            {
                int numspaces = ((colWidth-4) - valLength-1)/2;
                valueToWrite = (new String(' ', numspaces)) + value + (new String(' ', numspaces))+" ";
            }                    
        }
        return " "+valueToWrite+" ";
    }
    System.Console.WriteLine(output);            
}

/*useage
ShowData(_trainData);
*/