public void InductiveData(ChartGroupContextData data)
{
var index = 0;
foreach (PointsSeriesVisual item in Visuals)
{
var visualData = item.VisualData;
if ((visualData == null || visualData.IsEmpty) && index < data.Data.Count)
{
var visual_data = data.Data[index];
visual_data.ComponentIds.Add(item.Id);
item.VisualData = visual_data;
}
index++;
}
}
private void Render(List <StrengthItem> list, DateTime tradeDay)
{
tradeDay = DateTime.Now.Date;
var day1 = tradeDay.AddHours(9).AddMinutes(30);
var day2 = tradeDay.AddHours(10).AddMinutes(30);
var day3 = tradeDay.AddHours(11).AddMinutes(30);
var except_left = tradeDay.AddHours(11).AddMinutes(30);
var except_right = tradeDay.AddHours(13);
var day4 = tradeDay.AddHours(14);
var day5 = tradeDay.AddHours(15);
var axes = new List <DateTime> {
day1, day2, day3, day4, day5
};
axisX.ExceptSections = new List <ValueSection>()
{
new ValueSection()
{
Left = except_left.ToFormatVisualData(), Right = except_right.ToFormatVisualData()
}
};
axisX.SplitValues = axes.Select(it => it.ToFormatVisualData()).ToList();
axisX.Ratios = Tools.GetAverageRatiosWithZero(axes.Count - 1);
var filterList = list.Where(it => it.zt != -1 && it.dt != -1).ToList();
//filterList.ForEach(it => it.time = DateTime.Now.Date.AddHours(8));
var value1 = filterList.Select(it => new CroodData <DateTime>(it.time, it.zt * 1.0));
axisY.Range = new Range(0, value1.Select(it => it.YData).Max());
axisY2.Range = new Range(0, 200);
var a = filterList.Select(it => new CroodData <DateTime>(it.time, it.zt * 1.0)).ToFormatVisualData();
var b = filterList.Select(it => new CroodData <DateTime>(it.time, it.dt * 1.0)).ToFormatVisualData();
var c = filterList.Select(it => new CroodData <DateTime>(it.time, it.yzzt * 1.0)).ToFormatVisualData();
var d = filterList.Select(it => new CroodData <DateTime>(it.time, it.fyzzt * 1.0)).ToFormatVisualData();
var data = new ChartGroupContextData(new List <TwoDimensionalContextData>()
{
a, b, c, d
});
chart.VisualData = data;
DrawingCanvas.Plot();
}
