The old version used either (the excellent) matplotlib. Unfortunately, it does not work with python 3. So I ported the graphics generation to google chart API. The drawback is that you need an internet connexion in order to generate the graphics and that I am now dependent on google. The good news is that the program is much smaller now.
Small sample on how to use the 'Google Charts API' to directly generate a .png image without using a browser.
# build the query with template parameters
query ="http://chart.apis.google.com/chart?chxl=0:__X_LABELS__&chxp=__X_LABELS_POS__&chxr=0,__MIN_TIME__,__MAX_TIME__|1,__MIN_WEIGHT__,__MAX_WEIGHT__&chxs=0,676767,11.5,0,lt,676767|1,676767,11.5,0,lt,676767&chxt=x,y&chs=800x300&cht=lc&chco=3072F3&chds=__MIN_WEIGHT__,__MAX_WEIGHT__&chd=t:__COMMASEP_WEIGHT__&chdl=Weight&chdlp=b&chls=2,4,1&chma=5,5,5,25&chtt=Your+Weight+Timeline"
[...]
# relace template with data
query = query.replace('__X_LABELS__', strXLabels)
query = query.replace('__X_LABELS_POS__', strXLabelsPos)
query = query.replace('__MIN_TIME__', str(min(lst_dateEpoch)))
query = query.replace('__MAX_TIME__', str(max(lst_dateEpoch)))
[...]
# use 'urllib.request' to download the data & write to file
sock = urllib.request.urlopen(query)
image_bytes = sock.read()
sock.close()
fh = open('Weight_GoogleGraphApi.png', 'wb')
fh.write(image_bytes)
fh.close()
Just unzip the source in a folder and then
python3 pyWeight.py
or
python3 pyWeight.py --redraw
You will get the following:
How much do you weight now?
165
./Weight.xml written successfully.
You weight history is saved in a .xml file, mirrored in a .csv file and 'plotted' in a .png file.
This is what the program generates for me:
The screenshot is my actual weight that I have been keeping track with this program since 2007-09-03.
