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                                                   Can a csv field be set to NaN?

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Chaim6
2014-01-30 10:43:25


When downloading Morningstar data, it is common to have missing information. For example, see 2009 Cap Spending for Toyato in http://financials.morningstar.com/ratios/r.html?t=7203&region=jpn&culture=en-US&ownerCountry=USA. It's obvious that the number is not 0. Yet the C# parser must initialize all fields to 0 in order for the parser to work properly. A blank field gets converted to 0 automatically. I would like to set it to NaN. Is that possible?

Thanks.



QuantShare
2014-01-30 20:03:05

  0

Yes, in the POST-Script, check for zeros and updates that the field to: double.NaN


Chaim6
2014-01-31 05:18:32

  0

Okay, here's what I tried in the Post-Script:

for (int iRow = 1; iRow < Data.Rows.Length; iRow++)
for (int iCol = 1; iCol < Data.Rows[iRow].Data.Length; iCol++)
if (unchecked((double)Data.Rows[iRow].Data[iCol]) == 0)
Data.Rows[iRow].Data[iCol] = Double.NaN;

It compiles ok, but I get a Post-Script execution error:
"Specified cast is not valid."

How do I fix this code?

Thanks.



QuantShare
2014-01-31 13:23:51

  0

Try this:

for (int iRow = 0; iRow < Data.Rows.Length; iRow++)
for (int iCol = 0; iCol < Data.Rows[iRow].Data.Length; iCol++)
{
object obj = Data.Rows[iRow].Data[iCol];
if(obj is double && (double)obj == 0)
{
Data.Rows[iRow].Data[iCol] = Double.NaN;
}
}




Chaim6
2014-01-31 20:55:53

  0

That put me on the right track. I ended up using:
for (int iRow = 0; iRow < Data.Rows.Length; iRow++)
for (int iCol = 0; iCol < Data.Rows[iRow].Data.Length; iCol++)
{
double d;
if(double.TryParse(Convert.ToString(Data.Rows[iRow].Data[iCol]), out d) && d == 0)
{
Data.Rows[iRow].Data[iCol] = Double.NaN;
}
}
because the 0's for some reason were not of type double. Thanks.



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