本文整理汇总了C#中Encog.Util.CSV.ReadCSV.GetTime方法的典型用法代码示例。如果您正苦于以下问题：C# ReadCSV.GetTime方法的具体用法？C# ReadCSV.GetTime怎么用？C# ReadCSV.GetTime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Encog.Util.CSV.ReadCSV的用法示例。
在下文中一共展示了ReadCSV.GetTime方法的1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: ReadAndCallLoader
/// <summary>
/// Reads and parses CSV data from file
/// </summary>
/// <param name="ticker">Ticker associated with CSV file</param>
/// <param name="neededTypes">Columns to parse (headers)</param>
/// <param name="from">DateTime from</param>
/// <param name="to">DateTime to</param>
/// <param name="File">Filepath to CSV</param>
/// <returns>Marketdata</returns>
public ICollection<LoadedMarketData> ReadAndCallLoader(TickerSymbol ticker, IList<MarketDataType> neededTypes, DateTime from, DateTime to, string File)
{
try
{
LoadedFile = File;
Console.WriteLine("Loading instrument: " + ticker.Symbol + " from: " + File);
//We got a file, lets load it.
ICollection<LoadedMarketData> result = new List<LoadedMarketData>();
ReadCSV csv = new ReadCSV(File, true, LoadedFormat);
if (DateTimeDualColumn)
{
csv.DateFormat = DateFormat;
csv.TimeFormat = TimeFormat;
}
else
{
csv.DateFormat = DateFormat;
}
//"Date","Time","Open","High","Low","Close","Volume"
while (csv.Next())
{
string datetime = "";
if (DateTimeDualColumn)
{
datetime = csv.GetDate("Date").ToShortDateString() + " " +
csv.GetTime("Time").ToShortTimeString();
}
else
{
datetime = csv.GetDate("Date").ToShortDateString();
}
DateTime date = DateTime.Parse(datetime);
if (date > from && date < to)
{
// CSV columns
double open = csv.GetDouble("Open");
double high = csv.GetDouble("High");
double low = csv.GetDouble("Low");
double close = csv.GetDouble("Close");
double volume = csv.GetDouble("Volume");
LoadedMarketData data = new LoadedMarketData(date, ticker);
foreach (MarketDataType marketDataType in neededTypes)
{
switch (marketDataType.ToString())
{
case "Open":
data.SetData(MarketDataType.Open, open);
break;
case "High":
data.SetData(MarketDataType.High, high);
break;
case "Low":
data.SetData(MarketDataType.Low, low);
break;
case "Close":
data.SetData(MarketDataType.Close, close);
break;
case "Volume":
data.SetData(MarketDataType.Volume, volume);
break;
case "RangeHighLow":
data.SetData(MarketDataType.RangeHighLow, Math.Round(Math.Abs(high - low), 6));
break;
case "RangeOpenClose":
data.SetData(MarketDataType.RangeOpenClose, Math.Round(Math.Abs(close - open), 6));
break;
case "RangeOpenCloseNonAbsolute":
data.SetData(MarketDataType.RangeOpenCloseNonAbsolute, Math.Round(close - open, 6));
break;
case "Weighted":
data.SetData(MarketDataType.Weighted, Math.Round((high + low + 2 * close) / 4, 6));
break;
}
}
result.Add(data);
}
}
csv.Close();
return result;
}
catch (Exception ex)
{
Console.WriteLine("Something went wrong reading the csv: " + ex.Message);
}
return null;
}