本文整理汇总了C#中Stats.Values方法的典型用法代码示例。如果您正苦于以下问题：C# Stats.Values方法的具体用法？C# Stats.Values怎么用？C# Stats.Values使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Stats的用法示例。
在下文中一共展示了Stats.Values方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: UpdateScalingGraph
public void UpdateScalingGraph(Character character, Stats[] statsList, Stats baseStat, bool requiresReferenceCalculations, Color[] colors, int scale, string explanatoryText, string calculation)
{
CharacterCalculationsBase baseCalc = Calculations.GetCharacterCalculations(character);
if (statsList.Length == 0 || statsList.Length > colors.Length) return; // more than 12 elements for the array would run out of colours
Point[][] points = new Point[statsList.Length][];
// extract property data for relative stats calculations
KeyValuePair<PropertyInfo, float>[] properties = new KeyValuePair<PropertyInfo, float>[statsList.Length];
for (int index = 0; index < statsList.Length; index++)
{
var p = statsList[index].Values(x => x > 0);
foreach (var kvp in p)
{
properties[index] = kvp;
}
points[index] = new Point[2 * scale + 1];
}
float unit = 1f;
var bp = baseStat.Values(x => x > 0);
foreach (var kvp in bp)
{
unit = kvp.Value;
}
Chart.Series.Clear();
for (int count = -scale; count <= scale; count++)
{
Stats newStats = new Stats();
newStats.Accumulate(baseStat, count);
Item item = new Item() { Stats = newStats };
if (requiresReferenceCalculations)
{
Calculations.GetCharacterCalculations(character, item, true, false, false);
}
for (int index = 0; index < statsList.Length; index++)
{
ComparisonCalculationBase currentCalc = CalculationsBase.GetRelativeStatValue(character, properties[index].Key, item, properties[index].Value);
float dpsChange = GetCalculationValue(currentCalc, calculation);
points[index][count + scale] = new Point(count * unit, dpsChange);
}
}
for (int index = 0; index < statsList.Length; index++)
{
Style dataPointStyle = new Style(typeof(LineDataPoint));
dataPointStyle.Setters.Add(new Setter(DataPoint.TemplateProperty, Resources["InvisibleDataPointTemplate"]));
dataPointStyle.Setters.Add(new Setter(DataPoint.BackgroundProperty, new SolidColorBrush(colors[index])));
Chart.Series.Add(new LineSeries()
{
Title = statsList[index].ToString(),
ItemsSource = points[index],
IndependentValuePath = "X",
DependentValuePath = "Y",
DataPointStyle = dataPointStyle,
});
}
Chart.Axes.Clear();
Chart.Axes.Add(new LinearAxis()
{
Orientation = AxisOrientation.X,
Title = "Stat Change",
ShowGridLines = true,
});
Chart.Axes.Add(new LinearAxis()
{
Orientation = AxisOrientation.Y,
Title = calculation,
ShowGridLines = true,
});
// restore reference calculation
if (requiresReferenceCalculations)
{
Stats newStats = new Stats();
Item item = new Item() { Stats = newStats };
Calculations.GetCharacterCalculations(character, item, true, false, false);
}
orgDataDirty = true;
}示例2: RenderScalingGraph
public static void RenderScalingGraph(Graphics g, int graphWidth, int graphHeight, Character character, Stats[] statsList, Stats baseStat, bool requiresReferenceCalculations, Color[] colors, int scale, string explanatoryText, string calculation, Style style)
{
CharacterCalculationsBase baseCalc = Calculations.GetCharacterCalculations(character);
g.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.AntiAlias;
g.TextRenderingHint = System.Drawing.Text.TextRenderingHint.AntiAlias;
float graphOffset = graphWidth / 2.0f, graphStep = (graphWidth - 100) / 2.0f / scale;
if (statsList.Length == 0 || statsList.Length > colors.Length) return; // more than 12 elements for the array would run out of colours
float minDpsChange = 0f, maxDpsChange = 0f;
PointF[][] points = new PointF[statsList.Length][];
// extract property data for relative stats calculations
KeyValuePair<PropertyInfo, float>[] properties = new KeyValuePair<PropertyInfo,float>[statsList.Length];
for (int index = 0; index < statsList.Length; index++)
{
var p = statsList[index].Values(x => x > 0);
foreach (var kvp in p)
{
properties[index] = kvp;
}
points[index] = new PointF[2 * scale + 1];
}
for (int count = -scale; count <= scale; count++)
{
Stats newStats = new Stats();
newStats.Accumulate(baseStat, count);
Item item = new Item() { Stats = newStats };
if (requiresReferenceCalculations)
{
Calculations.GetCharacterCalculations(character, item, true, false, false);
}
for (int index = 0; index < statsList.Length; index++)
{
ComparisonCalculationBase currentCalc = CalculationsBase.GetRelativeStatValue(character, properties[index].Key, item, properties[index].Value);
float dpsChange = GetCalculationValue(currentCalc, calculation);
points[index][count + scale] = new PointF(graphOffset + count * graphStep, dpsChange);
if (dpsChange < minDpsChange)
minDpsChange = dpsChange;
if (dpsChange > maxDpsChange)
maxDpsChange = dpsChange;
}
}
// restore reference calculation
if (requiresReferenceCalculations)
{
Stats newStats = new Stats();
Item item = new Item() { Stats = newStats };
Calculations.GetCharacterCalculations(character, item, true, false, false);
}
// increase the spread a bit to so that you can see if something is at the edges and straight
float DpsVariance = maxDpsChange - minDpsChange;
minDpsChange -= DpsVariance * 0.05f;
maxDpsChange += DpsVariance * 0.05f;
DpsVariance = maxDpsChange - minDpsChange;
if (DpsVariance == 0)
DpsVariance = 1;
for (int index = 0; index < statsList.Length; index++)
{
for (int count = -scale; count <= scale; count++)
{
points[index][count + scale].Y = (int)((maxDpsChange - points[index][count + scale].Y) * (graphHeight - 48) / DpsVariance) + 20;
}
Brush statBrush = new SolidBrush(colors[index]);
switch (style)
{
case Style.DpsWarr:
g.DrawLines(new Pen(statBrush, 3), points[index]);
break;
case Style.Mage:
g.DrawLines(new Pen(statBrush, 1), points[index]);
break;
}
}
float unit = 1f;
var bp = baseStat.Values(x => x > 0);
foreach (var kvp in bp)
{
unit = kvp.Value;
}
RenderGrid(g, graphWidth, graphHeight, character, statsList, colors, scale, unit, "F", explanatoryText, calculation, style, minDpsChange, maxDpsChange, DpsVariance, false);
}