I'm working on an app which involves analysis of numpy arrays. I intend for the arrays to be stored in files in the user's dropbox (and the app links to dropbox), so as not to clutter my app's storage with hundreds of (possibly large) files. When a user selects a file, the data is read and then plotted using matplotlib. I need to save the data array somewhere, so that the plot can be updated with the various processes that the user initiates, which take place in a module.
What's a good way to store the data so that the module can access it? I don't really want to drop it in a db, since the whole point is to keep the permanent datastore in the user's dropbox. I also don't want to re-access the file every time I need to alter the plot... I suppose the same question could to the plot object itself instead, though I could rebuild the plot easily from the stored data more easily than reading from the dropbox file every time. -- Resources: - http://web2py.com - http://web2py.com/book (Documentation) - http://github.com/web2py/web2py (Source code) - https://code.google.com/p/web2py/issues/list (Report Issues) --- You received this message because you are subscribed to the Google Groups "web2py-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to web2py+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
