private TimeSeries[] ParseCSV()
{
if (DetailsAsCSV == null)
{
return(new TimeSeries[0]);
}
string[] unitsStrings = (UnitsForNewTS ?? "").Split(',');
Unit[] columnUnits = new Unit[0];
if (unitsStrings.Length > 0)
{
columnUnits = unitsStrings.Select(s => Unit.parse(s)).ToArray();
}
string[] lines = DetailsAsCSV.Split(new string[] { "\n", "\r" }, StringSplitOptions.RemoveEmptyEntries);
string header = lines[0];
lines = lines.Skip(1).ToArray();
string[] columnNames = SplitCsvLine(header).Skip(1).ToArray();
string[][] elements = lines.Select(SplitCsvLine).ToArray();
string[] dates = elements.Select(l => l[0]).ToArray();
elements = elements.Select(l => l.Skip(1).ToArray()).ToArray();
DateTime startT = DateTime.Parse(dates.First(), CultureInfo.InvariantCulture);
//DateTime endT = DateTime.Parse(dates.Last(),CultureInfo.InvariantCulture);
var ts = TimeStep.Daily;
if (dates.Length > 1)
{
DateTime secondT = DateTime.Parse(dates[1], CultureInfo.InvariantCulture);
var delta = secondT - startT;
ts = TimeStep.FromSeconds(delta.TotalSeconds);
}
return(columnNames.Indices().Select(i =>
{
var name = columnNames[i];
var values = elements.Select(line =>
{
double d;
if (!double.TryParse(line[i], out d))
{
d = double.NaN;
}
return d;
}).ToArray();
var result = new TimeSeries(startT, ts, values);
result.name = name;
if (columnUnits.Length > 0)
{
result.units = columnUnits[i % columnUnits.Length];
}
return result;
}).ToArray());
}
