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make MPLWidget able to distinguish scaled and unscaled data; additionally make plotting noise levels more convenient

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This commit is contained in:
Sebastian Wehling-Benatelli 2015-07-02 10:35:36 +02:00
parent a46b0db583
commit d05e9320e5
1 changed files with 6 additions and 6 deletions
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8
pylot/core/util/widgets.py
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@ -88,7 +88,7 @@ class MPLWidget(FigureCanvas):
self._parent = parent
def plotWFData(self, wfdata, title=None, zoomx=None, zoomy=None,
noiselevel=None):
noiselevel=None, scaleddata=False):
self.getAxes().cla()
self.clearPlotDict()
wfstart, wfend = getGlobalTimes(wfdata)
@ -99,13 +99,13 @@ class MPLWidget(FigureCanvas):
print(msg)
stime = trace.stats.starttime - wfstart
time_ax = prepTimeAxis(stime, trace)
if not scaleddata:
trace.normalize(np.max(np.abs(trace.data)) * 2)
self.getAxes().plot(time_ax, trace.data + n, 'k')
if noiselevel is not None:
for level in noiselevel:
self.getAxes().plot([time_ax[0], time_ax[-1]],
[noiselevel[0], noiselevel[0]], '--k')
self.getAxes().plot([time_ax[0], time_ax[-1]],
[noiselevel[1], noiselevel[1]], '--k')
[level, level], '--k')
xlabel = 'seconds since {0}'.format(wfstart)
ylabel = ''
self.updateWidget(xlabel, ylabel, title)