public void ShowFitResult(FittingResult result)
{
if (result == null || result.Wind < 1 || result.SpecOriginal == null || result.FitSpec == null || result.Specs == null || result.VarIndex == null || result.VarIndex.Length < 5)
{
return;
}
this.guetPanel1.Title = string.Format("拟合结果：{0}", result.SpecOriginal.Name);
var o = result.SpecOriginal.Clone();
var f = result.FitSpec.Clone();
o.Name = "原光谱";
f.Name = "拟合光谱";
var specs = new Spectrum[] { o, f };
this.specGraph2.DrawSpec(specs.ToList());
this.specGraph2.SetTitle("预处理后光谱与拟合光谱对比");
double[] tSQ;
double tTQ;
var y1 = new double[result.VarIndex.Length];
var y2 = new double[result.VarIndex.Length];
var x = new double[result.VarIndex.Length];
for (int i = 0; i < y1.Length; i++)
{
y1[i] = o.Data.Y[result.VarIndex[i] - 1];
y2[i] = f.Data.Y[result.VarIndex[i] - 1];
x[i] = f.Data.X[result.VarIndex[i] - 1];
}
RIPP.NIR.Data.Tools.MWCorr(y1, y2, result.Wind, out tTQ, out tSQ);
var spec = o.Clone();
spec.Data.X = x;
spec.Data.Y = tSQ;
spec.Name = "SQ";
spec.Color = Color.Blue;
this.specGraph1.DrawSpec(spec);
var slst = new List <Spectrum>();
foreach (var r in result.Specs)
{
var s = r.Spec.Clone();
s.Name = string.Format("{0}：{1}", r.Rate.ToString("F4"), s.Name);
slst.Add(s);
}
this.specGraph3.DrawSpec(slst);
this.specGraph3.SetTitle("参与拟合的光谱集合");
this.specGraph3.SetLenged();
this.ShowDialog();
}
private void ShowfitGrid(FittingResult result)
{
this.gridFit.Rows.Clear();
this.gridId.Visible = false;
this.gridPLS.Visible = false;
this.gridFit.Visible = true;
this.gridItg.Visible = false;
if (result == null || result.Specs.Length == 0)
{
return;
}
int k = 1;
foreach (var item in result.Specs)
{
var cell = new DataGridViewRowHeaderCell()
{
Value = k.ToString()
};
var row = new MyDataFitRow()
{
Item = item,
HeaderCell = cell
};
if (k == 1)
{
row.CreateCells(this.gridFit, item.Spec.UUID, item.Rate.ToString("F4"), result.TQ.ToString("F4"), result.SQ.ToString("F4"));
}
else
{
row.CreateCells(this.gridFit, item.Spec.UUID, item.Rate.ToString("F4"));
}
this.gridFit.Rows.Add(row);
k++;
}
}
public nodeRow(FittingResult result)
{
this._result = result;
}
private void AddResult(FittingResult r)
{
if (!this._inited)
{
this.Init();
}
if (r == null)
{
return;
}
this._results.Add(r);
if (!this._compShow)
{
var names = r.FitSpec.Components.Select(c => c.Name).ToArray();
for (int i = 0; i < names.Length; i++)
{
if (i < this._dColnum - 5 && this.Columns.Count > (5 + i))
{
this.Columns[5 + i].HeaderText = names[i];
}
else
{
this.Columns.Add(new DataGridViewTextBoxColumn()
{
Width = 60,
HeaderText = names[i],
ReadOnly = true,
});
}
}
this._compShow = true;
}
nodeRow node;
if (this.Nodes.Count <= (this._results.Count - 1) * 3)
{
node = new nodeRow(r);
this.Nodes.Add(node);
}
else
{
node = this.Nodes[(this._results.Count - 1) * 3] as nodeRow;
node.Result = r;
}
node.Cells[0].Value = r.SpecOriginal.Name;
node.Cells[1].Value = "";
node.Cells[2].Value = r.TQ.ToString("F4");
node.Cells[3].Value = r.SQ.ToString("F4");
node.Cells[4].Value = r.Result;
var cidx = 5;
foreach (var c in r.SpecOriginal.Components)
{
node.Cells[cidx].Value = double.IsNaN(c.ActualValue) ? "" : c.ActualValue.ToString(string.Format("F{0}", c.Eps));
cidx++;
}
foreach (var d in r.Specs)
{
var ds = new List <object>();
ds.Add(d.Spec.Name);
ds.Add(d.Rate.ToString("F4"));
ds.Add("");
ds.Add("");
ds.Add("");
foreach (var c in d.Spec.Components)
{
ds.Add(c.ActualValue.ToString(string.Format("F{0}", c.Eps)));
}
node.Nodes.Add(ds.ToArray());
}
//预测值
var objs = new List <object>();
objs.Add("预测值");
objs.Add("");
objs.Add("");
objs.Add("");
objs.Add("");
foreach (var c in r.FitSpec.Components)
{
objs.Add(double.IsNaN(c.PredictedValue) ? "" : c.PredictedValue.ToString(string.Format("F{0}", c.Eps)));
}
if (this.Nodes.Count <= (this._results.Count - 1) * 3 + 1)
{
this.Nodes.Add(objs.ToArray());
}
else
{
var tn = this.Nodes[(this._results.Count - 1) * 3 + 1];
for (int i = 0; i < objs.Count; i++)
{
if (tn.Cells.Count > i)
{
tn.Cells[i].Value = objs[i];
}
}
}
//偏差
objs = new List <object>();
objs.Add("偏差");
objs.Add("");
objs.Add("");
objs.Add("");
objs.Add("");
if (r.SpecOriginal.Components != null && r.FitSpec.Components.Count > 0)
{
for (int i = 0; i < r.FitSpec.Components.Count; i++)
{
r.SpecOriginal.Components[i].Error = r.SpecOriginal.Components[i].ActualValue - r.FitSpec.Components[i].PredictedValue;
objs.Add(double.IsNaN(r.SpecOriginal.Components[i].Error) ? "" : r.SpecOriginal.Components[i].Error.ToString(string.Format("F{0}", r.SpecOriginal.Components[i].Eps)));
}
}
if (this.Nodes.Count <= (this._results.Count - 1) * 3 + 2)
{
this.Nodes.Add(objs.ToArray());
}
else
{
var tn = this.Nodes[(this._results.Count - 1) * 3 + 2];
for (int i = 0; i < objs.Count; i++)
{
if (tn.Cells.Count > i)
{
tn.Cells[i].Value = objs[i];
}
}
}
}