本文整理汇总了Python中matplotlib.figure.Figure.findobj方法的典型用法代码示例。如果您正苦于以下问题：Python Figure.findobj方法的具体用法？Python Figure.findobj怎么用？Python Figure.findobj使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.figure.Figure的用法示例。
在下文中一共展示了Figure.findobj方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: plot_realtime_gammaray
# 需要导入模块: from matplotlib.figure import Figure [as 别名]
# 或者: from matplotlib.figure.Figure import findobj [as 别名]
def plot_realtime_gammaray(request, object_id) :
well = Well.objects.get(pk=object_id)
wltz = pytz.timezone(well.timezone)
gammas = []
times = []
ragg = ToolMWDRealTime.objects.filter(well=well, type='gammaray').aggregate(Max('time_stamp'))
hoursago = (ragg['time_stamp__max'] or datetime.utcnow()) - timedelta(hours=1)
r = ToolMWDRealTime.objects.filter(well=well, type='gammaray', time_stamp__gt=hoursago).order_by('time_stamp')
# System goes to 100% memory used if 0-1 points are plotted
if len(r) < 2 :
return render_to_response('message.html', {'message': 'No Data to graph'})
[gammas.append(v.value) for v in r]
[times.append(v.time_stamp) for v in r]
def depth_formatter(time_stamp, arg2) :
time_stamp = matplotlib.dates.num2date(time_stamp)
time_stamp = time_stamp.replace(tzinfo=None)
wlt = pytz.utc.localize(time_stamp).astimezone(wltz).replace(tzinfo=None)
ftime = wlt.strftime('%H:%M')
try :
lower = WITS0.objects.filter(well=well, recid=1, itemid=8, time_stamp__lt = time_stamp ).order_by('-time_stamp')[0]
higher = WITS0.objects.filter(well=well, recid=1, itemid=8, time_stamp__gt = time_stamp ).order_by('time_stamp')[0]
except:
return '%s / No Dpth' % ftime
# Linear Interpolation where x = seconds and y = depth
x = mktime(time_stamp.timetuple())
xa = mktime(lower.time_stamp.timetuple())
xb = mktime(higher.time_stamp.timetuple())
ya = float(lower.value)
yb = float(higher.value)
depth = ya + ((x - xa) * (yb - ya))/(xb - xa)
return '%s / %s' % (ftime, str(int(depth)) )
fig = Figure()
canvas = FigureCanvas(fig)
ax = fig.add_axes([0.4, 0.08 ,0.55 ,0.85])
ax.plot(gammas, times)
wlt = pytz.utc.localize(ragg['time_stamp__max'] or datetime.utcnow()).astimezone(wltz).replace(tzinfo=None)
ftime = wlt.strftime('%Y/%m/%d %H:%M')
title = 'Gamma Ray\n' + ftime
ax.set_title(title)
ax.grid(True)
ax.set_xlabel('Gamma Ray (counts/sec)')
ax.set_ylabel('Time / Depth (ft)')
formatter = dates.DateFormatter('%H:%M')
ax.yaxis.set_major_formatter(FuncFormatter(depth_formatter))
ax.set_ylim(matplotlib.dates.date2num(times[-1]),matplotlib.dates.date2num(times[0]))
ax.yaxis.set_major_locator( LinearLocator( numticks=10 ) )
ax.xaxis.set_major_locator( LinearLocator( numticks=5 ) )
going_down = True
prev_depth = -999
for t in times :
try :
lower = WITS0.objects.filter(well=well, recid=1, itemid=8, time_stamp__lt = t ).order_by('-time_stamp')[0]
higher = WITS0.objects.filter(well=well, recid=1, itemid=8, time_stamp__gt = t ).order_by('time_stamp')[0]
except:
continue
# Linear Interpolation where x = seconds and y = depth
x = mktime(t.timetuple())
xa = mktime(lower.time_stamp.timetuple())
xb = mktime(higher.time_stamp.timetuple())
ya = float(lower.value)
yb = float(higher.value)
depth = ya + ((x - xa) * (yb - ya))/(xb - xa)
#print depth, going_down
if depth < prev_depth :
if going_down :
going_down=False
t1 = t
if depth >= prev_depth and not going_down :
going_down=True
t2 = t
ax.axhspan(matplotlib.dates.date2num(t1), matplotlib.dates.date2num(t2), facecolor='#FF0033', alpha=0.25)
prev_depth = depth
if not going_down :
ax.axhspan(matplotlib.dates.date2num(t1), matplotlib.dates.date2num(times[-1]), facecolor='#FF0033', alpha=0.25)
fontsize=8
for o in fig.findobj(text.Text) :
o.set_fontsize(fontsize)
fig.set_size_inches( (3, 5) )
#.........这里部分代码省略.........