public double getMax(List <DataValue> datapoint, string str)
{
double[] dataPredict = new double[datapoint.Count];
double[] dataValue = new double[datapoint.Count];
for (int i = 0; i < datapoint.Count; i++)
{
dataPredict[i] = datapoint[i].PredictData;
if (str == "000051")
{
dataValue[i] = datapoint[i].Y;
}
else if (str == "000052")
{
dataValue[i] = datapoint[i].Y;
}
else if (str == "000053")
{
dataValue[i] = datapoint[i].Y;
}
else if (str == "000054")
{
dataValue[i] = datapoint[i].Y;
}
}
return(SelectData.getHigh(dataPredict) > SelectData.getHigh(dataValue)?SelectData.getHigh(dataPredict):SelectData.getHigh(dataValue));
}
public double getMax(List <DataValue> datapoint)
{
double[] dataPredict = new double[datapoint.Count];
for (int i = 0; i < datapoint.Count; i++)
{
dataPredict[i] = datapoint[i].PredictData;
}
return(SelectData.getHigh(dataPredict));
}
private void initDate()
{
int date;
if (wheatePeatsZongQunHeader.predictIndex == 0)
{
return;
}
if (!this.IsLoaded)
{
return;
}
DateTime dateTime = (DateTime)dateSelect.SelectedDate;
TimeSpan time = dateTime - (new DateTime(2015, 7, 17));
date = time.Days;
try
{
List <DataValue> Axis = SelectData.getPredictData("000051", date);
DataSource yData = new DataSource("000051");
DataSource y1Data = new DataSource("000052");
DataSource y2Data = new DataSource("000053");
DataSource y3Data = new DataSource("000054");
List <DataValue> predictYData = SelectData.getPredictData("000051", date);
List <DataValue> predictY1Data = SelectData.getPredictData("000052", date);
List <DataValue> predictY2Data = SelectData.getPredictData("000053", date);
List <DataValue> predictY3Data = SelectData.getPredictData("000054", date);
colGrainPredict.MarkerType = MarkerType.None;
colGrainPredict.Thickness = 5;
colGrainPredict.ItemsSource = predictYData;
colGrainPredict.ValueMemberPath = "PredictData";
colGrainPredict.XAxis = categoryDateAxis;
colGrainPredict.YAxis = numericYAxis;
colGrainPredict.Opacity = 0.5;
colGrainPredict.Visibility = Visibility.Hidden;
colGrainPredict.Brush = new SolidColorBrush(Colors.Green);
colGrainPredict.ToolTip = colGrain.ToolTip;
this.CategoryChart.Series.Add(colGrainPredict);
colCornPredict.MarkerType = MarkerType.None;
colCornPredict.Thickness = 5;
colCornPredict.ItemsSource = predictY1Data;
colCornPredict.ValueMemberPath = "PredictData";
colCornPredict.XAxis = categoryDateAxis;
colCornPredict.YAxis = numericYAxis;
colCornPredict.Opacity = 0.5;
colCornPredict.Visibility = Visibility.Hidden;
colCornPredict.Brush = new SolidColorBrush(Colors.Black);
colCornPredict.ToolTip = colCorn.ToolTip;
this.CategoryChart.Series.Add(colCornPredict);
colRicePredict.MarkerType = MarkerType.None;
colRicePredict.Thickness = 5;
colRicePredict.ItemsSource = predictY2Data;
colRicePredict.ValueMemberPath = "PredictData";
colRicePredict.XAxis = categoryDateAxis;
colRicePredict.YAxis = numericYAxis;
colRicePredict.Opacity = 0.5;
colRicePredict.Visibility = Visibility.Hidden;
colRicePredict.Brush = new SolidColorBrush(Colors.Chocolate);
colRicePredict.ToolTip = colRice.ToolTip;
this.CategoryChart.Series.Add(colRicePredict);
colTCCPredict.MarkerType = MarkerType.None;
colTCCPredict.Thickness = 5;
colTCCPredict.ItemsSource = predictY3Data;
colTCCPredict.ValueMemberPath = "PredictData";
colTCCPredict.XAxis = categoryDateAxis;
colTCCPredict.YAxis = numericYAxis;
colTCCPredict.Opacity = 0.5;
colTCCPredict.Visibility = Visibility.Hidden;
colTCCPredict.Brush = new SolidColorBrush(Colors.Blue);
colTCCPredict.ToolTip = colTCC.ToolTip;
this.CategoryChart.Series.Add(colTCCPredict);
categoryDateAxis.ItemsSource = Axis;
colCorn.ItemsSource = y1Data;
colRice.ItemsSource = y2Data;
colGrain.ItemsSource = yData;
colTCC.ItemsSource = y3Data;
numericXAxis.MinimumValue = Convert.ToDouble(Axis[0].date.Ticks);
numericXAxis.MaximumValue = Convert.ToDouble(Axis[Axis.Count - 1].date.Ticks);
double[] high = new double[8];
high[0] = getMax(predictYData);
high[1] = getMax(predictY1Data);
high[2] = getMax(predictY2Data);
high[3] = getMax(predictY3Data);
numericYAxis.MaximumValue = SelectData.getHigh(high) + 5;
//ClipLine.Value = yData.Count;
ClipLine.Value = Convert.ToDouble((new DateTime(2015, 7, 17)).Ticks);
}
catch (Exception e1)
{
MessageBox.Show(e1.Message);
}
if (butCorn.IsChecked == true)
{
ClickPredict(butCorn);
}
else if (butGrain.IsChecked == true)
{
ClickPredict(butGrain);
}
else if (butRice.IsChecked == true)
{
ClickPredict(butRice);
}
else if (butTcc.IsChecked == true)
{
ClickPredict(butTcc);
}
}
private void Grid_Loaded(object sender, RoutedEventArgs e)
{
try
{
predictYData = SelectData.getAllPredictValue("000051");
predictY1Data = SelectData.getAllPredictValue("000052");
predictY2Data = SelectData.getAllPredictValue("000053");
predictY3Data = SelectData.getAllPredictValue("000054");
colGrainPredict.MarkerType = MarkerType.None;
colGrainPredict.Thickness = 5;
colGrainPredict.ItemsSource = predictYData;
colGrainPredict.ValueMemberPath = "PredictData";
colGrainPredict.XAxis = categoryDateAxis;
colGrainPredict.YAxis = numericYAxis;
colGrainPredict.Opacity = 0.5;
colGrainPredict.Visibility = Visibility.Hidden;
colGrainPredict.ToolTip = colGrain.ToolTip;
colGrainPredict.Brush = new SolidColorBrush(Colors.Green);
this.CategoryChart.Series.Add(colGrainPredict);
colCornPredict.MarkerType = MarkerType.None;
colCornPredict.Thickness = 5;
colCornPredict.ItemsSource = predictY1Data;
colCornPredict.ValueMemberPath = "PredictData";
colCornPredict.XAxis = categoryDateAxis;
colCornPredict.YAxis = numericYAxis;
colCornPredict.Opacity = 0.5;
colCornPredict.Visibility = Visibility.Hidden;
colCornPredict.ToolTip = colCorn.ToolTip;
colCornPredict.Brush = new SolidColorBrush(Colors.Black);
this.CategoryChart.Series.Add(colCornPredict);
colRicePredict.MarkerType = MarkerType.None;
colRicePredict.Thickness = 5;
colRicePredict.ItemsSource = predictY2Data;
colRicePredict.ValueMemberPath = "PredictData";
colRicePredict.XAxis = categoryDateAxis;
colRicePredict.YAxis = numericYAxis;
colRicePredict.Opacity = 0.5;
colRicePredict.Visibility = Visibility.Visible;
colRicePredict.ToolTip = colRice.ToolTip;
colRicePredict.Brush = new SolidColorBrush(Colors.Chocolate);
this.CategoryChart.Series.Add(colRicePredict);
colTCCPredict.MarkerType = MarkerType.None;
colTCCPredict.Thickness = 5;
colTCCPredict.ItemsSource = predictY3Data;
colTCCPredict.ValueMemberPath = "PredictData";
colTCCPredict.XAxis = categoryDateAxis;
colTCCPredict.YAxis = numericYAxis;
colTCCPredict.Opacity = 0.5;
colTCCPredict.Visibility = Visibility.Hidden;
colTCCPredict.ToolTip = colTCC.ToolTip;
colTCCPredict.Brush = new SolidColorBrush(Colors.Blue);
this.CategoryChart.Series.Add(colTCCPredict);
categoryDateAxis.ItemsSource = predictYData;
colCorn.ItemsSource = predictY1Data;
colRice.ItemsSource = predictY2Data;
colGrain.ItemsSource = predictYData;
colTCC.ItemsSource = predictY3Data;
numericXAxis.MinimumValue = 1;
numericXAxis.MaximumValue = predictYData.Count;
double[] high = new double[8];
high[0] = getMax(predictYData);
high[1] = getMax(predictY1Data);
high[2] = getMax(predictY2Data);
high[3] = getMax(predictY3Data);
numericYAxis.MaximumValue = SelectData.getHigh(high) + 5;
}
catch (Exception e1)
{
MessageBox.Show(e1.Message);
}
labTitle.Content = "常温条件下当初始虫口密度为2头/kg时不同储存时间的储粮害虫米象种群数量预测情况";
wheatePeatsZongQunHeader.miaoShu.Document = convertToBox.convertStringToFlowDocument(model2.chartMiaoShu);
}