Thank you very much. One more thing - if I understand correctly this allows me to keep my data buffer clean and not worry about overwriting plots. Is it possible to use a date/time unique naming format to automatically name the image files and store them, say, in the static folder? Or somewhere else, if there's an issue?
Thanks again. On Wednesday, April 4, 2012 4:39:59 PM UTC-4, Massimo Di Pierro wrote: > > Makes perfect sense. > > When you use matplotlib you can do: > > You can store the image in temp file: > > import tempfile > f = tempfile.NamedTemporaryFile() > canvas = FigureCanvas(figure) > canvas.print_png(f) > filename = f.name > f.close() > > then move it to the db in a field called for example file of type upload > > db.table.insert(file = db.table.file.store(filename=filename) > > then read the file, delete, and return the image > > data = open(filename,'rb').read() > os.unlink(filename) > return data > > > On Wednesday, 4 April 2012 13:50:12 UTC-5, dancer` wrote: >> >> Hello, >> >> I'm on the newer end of programming, and web2py has been my first (and >> very happy) foray into web application development. I am developing an >> application to remotely control two spectrum analyzers (HP 3562A) in our >> lab to do swept sine and power spectra plots. The connection is made using >> sockets, and the data is dumped, modified, and plotted using numpy, scipy >> and matplotlib. The examples I have found that do this do not mention how >> to store the resulting plots on disk but rather plot in real time when >> required. What I would like is to have a results table with all the run >> parameters (for both sweeps and PSD) and have a thumbnail image (I know how >> to generate a thumbnail if I have a parent file) that links to the original >> plotted image. Is this possible, or am I approaching this the wrong way? >> >> Thank you. >> >
