Paul,
Thanks for the reply, since my last post I've been working on this lots and
have a working script.
Pictures below, took me a while to get it working but it does. the main
issue I have with it is that as you can see from the pictures when the time
periods for a day are stacked for some reason the are all on a slant
(presumably time related)
<http://matplotlib.1069221.n5.nabble.com/file/n46699/figure_2.png>
<http://matplotlib.1069221.n5.nabble.com/file/n46699/figure_3.png>
Is there a way to straighten it all up ?
as in the code below it now receives ['3/6/2013' '11:30:00' '14:30:00'
'3:00:00'] for each event, the basics are there but its not very pretty yet.
Im still trying to figure out how I got it working quite an achievement for
me if i#m honest.
def createGraph(self):
#data appears like so:
#date,init time,end time,elapsed time
#3/6/2013,4:30:00,8:45:00,4:15:00
try:
data = np.array(self.graphList1)
#print data[1]
#['3/6/2013' '11:30:00' '14:30:00' '3:00:00']
day = data[:,0]
hour1 = data[:,1]
hour2 = data[:,2]
hour3 = data[:,3]
inittime = [a+' '+b for a,b in zip(day, hour1)]
elapsedtime = [a+' '+b for a,b in zip(day, hour3)]
#print inittime
# 3/6/2013 4:30:00
except Exception, e:
print e
#from [1], " I gave up after trying a few different ways, and
resorted to a very easy workaround.
# Plot the times as integer minutes : 0 being midnight, 60 = 1am ...
which is 24hr * 60. "
def dt2m(dt):
return (dt.hour*60) + dt.minute
print inittime[0]
inittime = [datetime.datetime.strptime(foo,'%d/%m/%Y %H:%M') for foo
in inittime]
elapsedtime = [datetime.datetime.strptime(foo,'%d/%m/%Y %H:%M:%S')
for foo in elapsedtime]
#os.remove('chart.csv')
# [1] "Then format the Y axis as Hour:Minute using a custom
formatter:"
def m2hm(x, i):
h = int(x/60)
m = int(x%60)
return '%(h)02d:%(m)02d' % {'h':h,'m':m}
inittime_mins = [dt2m(foo) for foo in inittime]
elaptime_mins = [dt2m(foo) for foo in elapsedtime]
#heights = [60,120,240]
#print inittime_mins
fig = plt.figure(figsize=(12,7)) #figsize in inches
ax = fig.add_subplot(1, 1, 1)
ax.bar(inittime,elaptime_mins,bottom=inittime_mins)
plt.xticks(rotation='45')
# matplotlib date format object
hfmt = dates.DateFormatter('%b %d')
ax.xaxis.set_major_formatter(hfmt)
ax.xaxis.set_major_locator(plt.MultipleLocator(1.0)) #a tick mark a
day
ax.set_ylim([20*60, 5*60])
ax.yaxis.set_major_formatter(ff(m2hm))
ax.yaxis.set_major_locator(plt.MultipleLocator(60)) #a tick mark an
hour
plt.subplots_adjust (left = 0.06, bottom = 0.10, right = 0.97, top =
0.97, wspace = 0.20, hspace = 0.20)
plt.show()
···
--
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