I was trying to write a tool that we could use to batch process GC-MS data from a teaching laboratory to present grouped reports to the students, in a format that matched a similar output from the GC-FID systems we also have. You should also store the flags and corresponding original strings, either as attributes or as a separate array of chars and associated flag values.After spending a few days writing a tool to read GC-MS data files into LabVIEW, I thought I’d publish what I found – so others do not have to repeat my mistakes! The steps I describe here will also be useful to people who are using languages other than LabVIEW’s G to understand how to get GC-MS data from netCDF files. (Obviously, choose numeric values that cannot occur in your actual data.) This is similar to how you need to encode nan's, flagged by the attribute _FillValue. For example, if you have strings of 'Ozone', 'CO2', 'Methane', replace these with, say, -999, -998, and -997 respectively. Then store the data as a fixed-length 2-D char array.Įncode your string data with numeric values. These will unfortunately have to be fixed length strings, which would need to be long enough to retain your necessary precision. Neither, unfortunately, does Matlab currently (1/18) support the ability to read and write NetCDF4's variable-length strings (even though it has recently added a string datatype).Ĭonvert all numeric data to strings with sprintf(.). AFAIK, NetCDF3 and NetCDF4 formats do not have anything akin to Matlab's cell array, which can hold different types of data in each cell.

ĭisp('Skipping variable with more than 3 dimensions') It's not exactly what you asked, but here's a script that writes all the.

Matlab run cdf files