Deprecated in favor of liveplot for on the fly plotting and H5Explore for hdf5 dataset visualization.

H5Plot

Dependencies

• PyQt4
• numpy
• objectsharer :: proxying of python objects across the network
• dataserver :: shareable h5py files
• pyqtgraph :: Native Python Qt plotting library

Usage

Run dataserver

python dataserver/dataserver.py

or

from dataserver import run_dataserver
run_dataserver()

Run gui

python H5Plot/window.py

or

 from H5Plot import run_plotwindow
 run_plotwindow()

Send Data to DataServer

from dataserver import get_file
f = get_file('test.h5')
f['dataset'] = [1,3,2,4]

If you don't want to create new files every time you run, consider the timestamp feature, which will create a new group inside the file, and return that instead

f = get_file('test.h5', timestamp_group=True) f['dataset'] = [1,3,2,4]