[Gretl-users] Data Import - non-numeric values

Hello everybody, I have a data-set with some non-numeric values according to gretl (but not to CSVed). [1]: Problematic values (examples): 4.13108e-312 5.27295e-270 4.3172e-227 1.51922e-184 3.97655e-142 1.42149e-144 1.94409e-143 2.79222e-144 (These values stem from uninitialised double variables in my c++ model, I guess). Is there an option unbeknown to me to simply substitute such non-numerics by Gretl "NA" directly with the import? I.e. make the error messages quiet and gretl process nonetheless? I cannot find one and an old request (http://sourceforge.net/p/gretl/feature-requests/47/) is long closed... ---- Background: I have a relative large data-set (57,970 rows x ~1,000 columns) from a simulation experiment (panel data), distributed over several paths and files. I have written a python script that produces a nice enough import script for gretl (listing all the paths, the first one via open the next ones via append) which works fine... except when some not-a-number values are present, like "1.#QNAN" or [1], which occurs sometimes. I would prefer not to change the data (or a copy of the data) because a) this probably takes a lot of time (the total size is about 800MB and more to come) and b) Gretl does a good job in not mixing things up... ---- Thanks for your time! Frederik ------------ Frederik Schaff, Dipl.-Volkswirt University of Hagen Department of Business and Economics Chair of Economic Theory (Prof. A. Endres) Universitätsstraße 11 (TGZ) 58097 Hagen   Phone: +49 (0) 2331 987-4454 E-Mail: Frederik.Schaff(a)FernUni-Hagen.de http://www.fernuni-hagen.de/wirtschaftstheorie/en/team/frederik.schaff.shtml