belinda thom schrieb: > A tangential question; recently I was looking for a way to save/load > numeric data (often so it could be used later for building plots). I > found load/save better documented than numpy's to/fromfile, so used > that. The question, from the responsibility point of view, however, > is where I should be going to get this functionality. Are both > equally "stable"? Also, since numpy borrows from matlab, I was > surprised that load/save is only provided via matplotlib's mlab.py > (its not in numpy's matlib.py). >
Maybe you know that already, but in scipy there is something like scipy.io.read_array and write_array which is very similiar to mpl's load/save (IIRC). IMHO something like that would be a welcome addition to numpy, but I have learned that adding features to numpy is quite controversial... (oh, we're on the mpl list right now, ok) In the end I wrote my own csv read and write functions (see post in other thread), because I didn't see why my code should depend on having scipy or mpl installed just because of 20 or 30 lines of code. (AFAIK numpy fromfile and tofile are for binary data, not text files. Don't know if you want that.) So if you never use numpy standalone, I'd say go for mpl's load/save. cheers, sven ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys - and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
