本文整理汇总了C#中IContext.GetData方法的典型用法代码示例。如果您正苦于以下问题：C# IContext.GetData方法的具体用法？C# IContext.GetData怎么用？C# IContext.GetData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IContext的用法示例。
在下文中一共展示了IContext.GetData方法的9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: Run
public void Run(IContext ctx)
{
results = new DataSet();
DataTable table = new DataTable("TEST_LOOP_RESULTS_OUT");
table.Columns.Add("n");
table.Columns.Add("value");
table.Columns.Add("col_count");
var tbl = ctx.GetData(loopName).Tables[0];
DataRow r = table.NewRow();
r["n"] = -1;
r["value"] = tbl.Rows.Count;
table.Rows.Add(r);
for (int i = 0; i < tbl.Rows.Count; i++)
{
string varVal = tbl.Rows[i]["value"].ToString();
DataSet nodeResult = (DataSet)tbl.Rows[i][nodeName];
DataTable t = nodeResult.Tables[tableName];
int colCount = t.Columns.Count;
DataRow row = table.NewRow();
row["n"] = i;
row["value"] = varVal;
row["col_count"] = colCount;
table.Rows.Add(row);
}
results.Tables.Add(table);
}示例2: generateEMA
public static IList<double> generateEMA(IContext ctx, IList<double> source, int period)
{
return ctx.GetData(
"EMA" + period.ToString(),
new[] {period.ToString()}, delegate {
return Series.EMA(source, period);
}
);
}示例3: generateATR
public static IList<double> generateATR(IContext ctx, ISecurity source, int period)
{
return ctx.GetData(
"ATR" + period.ToString(),
new[] {period.ToString()}, delegate {
return Series.AverageTrueRange(source.Bars, period);
}
);
}示例4: generateADX
public static IList<double> generateADX(IContext ctx, ISecurity source, int period)
{
ADXFull generator = new ADXFull();
generator.Context = ctx;
generator.Period = period;
return ctx.GetData(
"ADX" + period.ToString(),
new[] {period.ToString()}, delegate {
return generator.Execute(source);
}
);
}示例5: Run
public void Run(IContext ctx)
{
resultSet = new DataSet();
DataTable kTable = new DataTable() { TableName = "Coefficient" };
kTable.Columns.Add("Period");
kTable.Columns.Add("K_srednee");
kTable.Columns.Add("K_sigma");
kTable.Columns.Add("K_cv");
kTable.Columns.Add("K_cs");
kTable.Columns.Add("K_eta");
DataTable paramsTable = data.Tables["params"];
var attrs = typeof(RepresentationCheck).GetCustomAttributes<ParameterAttribute>();
int n = (int)attrs.First((param) => { return param.Name == "n"; }).DefaultValue;
foreach (DataRow row in paramsTable.Rows)
{
switch (row["Name"].ToString())
{
case "n":
n = int.Parse(row["Value"].ToString());
break;
}
}
DataTable X_Table = ctx.GetData("FlowSequenceGeneration").Tables["FlowSequence"];
List<double> k1 = CoefAvg(X_Table, new statistics(), n);
List<double> k2 = CoefSigma(X_Table, new statistics(), n);
List<double> k3 = Coef_Cv(X_Table, new statistics(), n);
List<double> k4 = Coef_Cs(X_Table, new statistics(), n);
List<double> k5 = Coef_Eta(X_Table, new statistics(), n);
for (int i = 0; i < k1.Count; i++)
{
DataRow row = kTable.NewRow();
row["Period"] = i + ".." + (i + n);
row["K_srednee"] = k1[i];
row["K_sigma"] = k2[i];
row["K_cv"] = k3[i];
row["K_cs"] = k4[i];
row["K_eta"] = k5[i];
kTable.Rows.Add(row);
}
resultSet.Tables.Add(kTable);
}示例6: draw
public PnLReport draw(IContext context)
{
IPane profitPane = context.CreatePane("Profit", 20.0, true);
if (null != profitSource) {
profitPane.AddList(
"ProfitPerMonth",
profitSource,
ListStyles.HISTOHRAM,
0x336699,
LineStyles.SOLID,
PaneSides.VSIDE_LAST
);
}
if (null != maxLossSource) {
profitPane.AddList(
"MaxLossPerMonth",
maxLossSource,
ListStyles.HISTOHRAM,
0xff00000,
LineStyles.SOLID,
PaneSides.VSIDE_LAST
);
}
if (null != profitSource) {
IList<double> profitSma = context.GetData(
"ProfitSma",
new[] {"3"}, delegate {
return Series.SMA(profitSource, 3);
}
);
profitPane.AddList(
"ProfitPerMonthSma",
profitSma,
ListStyles.LINE,
0xff0000,
LineStyles.SOLID,
PaneSides.LEFT
);
}
return this;
}示例7: generateSub
public static IList<double> generateSub(IContext ctx, IList<double> source, int period)
{
return ctx.GetData(
"Diff" + period.ToString(),
new[] {period.ToString()}, delegate {
return Series.Sub(source, Series.Shift(source, period));
}
);
}示例8: generateSMA
public static IList<double> generateSMA(IContext ctx, IList<double> source, int period, string cacheLabel)
{
return ctx.GetData(
"SMA" + period.ToString(),
new[] { cacheLabel }, delegate {
return Series.SMA(source, period);
}
);
}示例9: Run
public void Run(IContext ctx)
{
resultSet = new DataSet();
DataTable kTable = new DataTable() { TableName = "Parameters" };
kTable.Columns.Add("average");
kTable.Columns.Add("deviation");
kTable.Columns.Add("variation");
kTable.Columns.Add("asymmetry");
kTable.Columns.Add("correlation");
kTable.Columns.Add("eta");
DataTable sequenceTable = new DataTable() { TableName = "ModifiedSequence" };
sequenceTable.Columns.Add("const");
sequenceTable.Columns.Add("linear-1");
//sequenceTable.Columns.Add("linear-2");
sequenceTable.Columns.Add("parabola-1");
sequenceTable.Columns.Add("parabola-2");
DataTable paramsTable = data.Tables["params"];
var attrs = typeof(Transformation).GetCustomAttributes<ParameterAttribute>();
double[] lambda_items = new double[lam_len];
/*double n = (int)attrs.First((param) => { return param.Name == "n"; }).DefaultValue;
int size = (int)attrs.First((param) => { return param.Name == "size"; }).DefaultValue;
lambda_items[0] = (int)attrs.First((param) => { return param.Name == "lam1"; }).DefaultValue;
lambda_items[1] = (int)attrs.First((param) => { return param.Name == "lam2"; }).DefaultValue;
lambda_items[2] = (int)attrs.First((param) => { return param.Name == "lam3"; }).DefaultValue;
lambda_items[3] = (int)attrs.First((param) => { return param.Name == "lam4"; }).DefaultValue;
lambda_items[4] = (int)attrs.First((param) => { return param.Name == "lam5"; }).DefaultValue;*/
foreach (DataRow row in paramsTable.Rows)
{
switch (row["Name"].ToString())
{
case "n":
n = double.Parse(row["Value"].ToString());
break;
case "size":
size = int.Parse(row["Value"].ToString());
break;
case "lam0":
lambda_items[0] = double.Parse(row["Value"].ToString());
break;
case "lam1":
lambda_items[1] = double.Parse(row["Value"].ToString());
break;
case "lam2":
lambda_items[2] = double.Parse(row["Value"].ToString());
break;
case "lam3":
lambda_items[3] = double.Parse(row["Value"].ToString());
break;
case "lam4":
lambda_items[4] = double.Parse(row["Value"].ToString());
break;
case "lam5":
lambda_items[5] = double.Parse(row["Value"].ToString());
break;
}
}
stat = new Statistic(size);
DataTable series_Table = ctx.GetData("FlowSequenceGeneration").Tables["FlowSequence"];
double[] series = new double[size];
series = GetTableValues(series_Table, 0);
params1 = new double[index_size, lam_len, 6];
//разбиение
N = series.Length;
int n1 = Convert.ToInt32(N * n);
int n2 = N - n1;
List<double> mods1 = new List<double>();
List<double> mods2 = new List<double>();
int negCount = 0;
for (int index = 0; index < index_size; index++)
{
for (int i = 0; i < lam_len; i++)
{
double lambda = lambda_items[i];
mods1 = transform(series, mods1, 0, n1, index, lambda, negCount);
mods2 = transform(series, mods2, n1, N, index, lambda, negCount);
}
}
modifiers1 = new double[index_size, mods1.Count / index_size];
modifiers2 = new double[index_size, mods2.Count / index_size];
getModifiers(modifiers1, mods1, mods1.Count / index_size);
getModifiers(modifiers2, mods2, mods2.Count / index_size);
summods = new double[index_size, modifiers1.GetLength(1) + modifiers2.GetLength(1)];
double[] tmpMods1 = new double[n1];
double[] tmpMods2 = new double[n2];
for (int index = 0; index < index_size; index++)
{
for (int j = 0; j < lam_len; j++)
{
//.........这里部分代码省略.........