public static List <RatioSection> GetSectionsFromRatioCroodAndSection(ValueSection range_section, DiscreteAxis xAxis, bool isInterregional, List <double> ratios, List <IVariable> data)
{
List <RatioSection> list = new List <RatioSection>();
ratios = new List <double>(ratios);
var ratios_temp = ratios;
var last = data.Last();
if (data.Count == 1 && range_section.Contains(last))
{
var position = xAxis.IntervalPositioning(range_section, last, 1);
ratios.Add(position);
}
if (isInterregional)
{
ratios.Insert(0, 0);
for (int i = 0; i < ratios.Count - 1; i++)
{
var item = ratios[i];
RatioSection section = new RatioSection();
section.Left = item;
section.Right = ratios[i + 1];
section.Current = (section.Left + section.Right) / 2;
section.CurrentData = i < data.Count ? data[i] : Value.Bad;
list.Add(section);
}
}
else
{
for (int i = 0; i < ratios_temp.Count; i++)
{
var item = ratios[i];
RatioSection section = new RatioSection();
section.Current = item;// section.Left + section.Right - section.Left / 2;
section.CurrentData = i < data.Count ? data[i] : Value.Bad;
section.Left = i - 1 >= 0 ? (ratios[i - 1] + item) / 2 : item - ratios[i + 1] / 2;
section.Right = i + 1 < ratios.Count ? (ratios[i + 1] + item) / 2 : item + ratios[i - 1] / 2;
list.Add(section);
}
}
return(list);
}
public static List <RatioSection> GetSectionsFromData(bool isInterregional, DiscreteAxis xAxis, List <ValueSection> sections, List <IVariable> data)
{
List <RatioSection> list = new List <RatioSection>();
var valueCroodRatios = new List <double>();
//需要清理
bool isAddedForecast = false;
if (data.Count == 1)
{
var index2 = 0;
foreach (var section in sections)
{
if (section.Contains(data[0]))
{
var position = xAxis.IntervalPositioning(section, data[0], 0) * section.SectionRatio;
var ratioCrood = position + sections.Take(index2).Select(it => it.SectionRatio).Sum();
valueCroodRatios.Add(ratioCrood);
var position2 = xAxis.IntervalPositioning(section, data[0], 1) * section.SectionRatio;
var ratioCrood2 = position2 + sections.Take(index2).Select(it => it.SectionRatio).Sum();
valueCroodRatios.Add(ratioCrood2);
isAddedForecast = true;
break;
}
index2++;
}
}
else
{
foreach (var item in data)
{
var index2 = 0;
foreach (var section in sections)
{
if (section.Contains(item))
{
var position = xAxis.IntervalPositioning(section, item, 0) * section.SectionRatio;
var ratioCrood = position + sections.Take(index2).Select(it => it.SectionRatio).Sum();
valueCroodRatios.Add(ratioCrood);
break;
}
index2++;
}
}
}
if (isInterregional)
{
valueCroodRatios.Insert(0, 1);
for (int i = 0; i < valueCroodRatios.Count - 1; i++)
{
var item = valueCroodRatios[i];
RatioSection section = new RatioSection();
section.Left = item;
section.Right = valueCroodRatios[i + 1];
section.Current = section.Left + section.Right - section.Left / 2;
section.CurrentData = i < data.Count ? data[i] : Value.Bad;
list.Add(section);
}
}
else
{
for (int i = 0; i < valueCroodRatios.Count; i++)
{
var item = valueCroodRatios[i];
RatioSection ratio_section = new RatioSection();
ratio_section.Current = valueCroodRatios[i];// section.Left + section.Right - section.Left / 2;
ratio_section.CurrentData = i < data.Count ? data[i] : Value.Bad;
ratio_section.Left = i > 0 ? (valueCroodRatios[i - 1] + item) / 2 : item - valueCroodRatios[i + 1] / 2;
ratio_section.Right = i + 1 < valueCroodRatios.Count ? (valueCroodRatios[i + 1] + item) / 2 : item * 1.5 - valueCroodRatios[i - 1] / 2;
list.Add(ratio_section);
}
}
if (isAddedForecast)
{
list.RemoveAt(1);
}
return(list);
}
public void AddAsixX(DiscreteAxis axis)
{
AxisXVisuals.Add(axis);
Data.AddAxisX(axis);
}
