Question

I’m reading in a csv file of time-series data into a C++ program. My data however contains
some NaN’s. For example:

1-Jul-2010,   1.0 
2-Jul-2010,   2.0
3-Jul-2010,   NaN
4-Jul-2010,   3.0

To deal with this I wrote a short script in Matlab which replaces all the NaN’s with 0.0 –
I then read in the new file without the NaN’s. Is there an easy way or avoiding
this pre-processing?

Thanks!

Answer 1

As David Given already mentioned, you do not have to pre-process the file at all. strtof() and strtod() are both able to convert the NaN string to the NaN float/double value.

If you want to replace the values with 0.0 in your dataset, you can do so using the isnan() function.

if (isnan(val))
{
    val = 0.0;
}