def update_plot(self, new_t, new_vals):
if self.first_update:
self.first_update = False
self.n = 0
self.tmin = new_t
self.tmax = self.tmin + self.window
self.t = np.arange(self.tmin, self.tmax, 0.1)
for var in self.data:
self.data[var] = np.zeros(len(self.t))
self.widget.setAxisScale(Qwt.QwtPlot.xBottom, self.tmin, self.tmax)
self.t[self.n] = new_t
for var, val in new_vals.iteritems():
self.data[var][self.n] = val
self.curves[var].setData(self.t[:self.n], self.data[var][:self.n])
#self.curves[var].setData(self.t, self.data[var])
if self.tmax - self.t[self.n] < self.jump_threshold:
self.tmin += self.jump
self.tmax += self.jump
self.widget.setAxisScale(Qwt.QwtPlot.xBottom, self.tmin, self.tmax)
# drop old data the will not be displayed.
# find the index of the largest value in self.t that is less than tmin.
cut_index = len(np.nonzero(self.t[:self.n] < self.tmin)[0])
debug("tmin=%f tmax=%f cut=%d n=%d -> %d array_lenth=%d" % (
self.tmin, self.tmax, cut_index, self.n, self.n - cut_index, len(self.t)))
self.t = self.t[cut_index:]
for var in self.data:
self.data[var] = self.data[var][cut_index:]
self.n -= cut_index
assert(self.t[self.n] == new_t)
self.n += 1
if self.n >= len(self.t):
debug("Extending arrays by %d samples" % (self.extra_samples))
self.t = np.concatenate((self.t, np.zeros(self.extra_samples)))
for var in self.data:
self.data[var] = np.concatenate((self.data[var], np.zeros(self.extra_samples)))
#self.widget.setAxisScale(Qwt.QwtPlot.xBottom, t[-1]-10, t[-1])
self.widget.replot()
def updateValue(self, curveId, value):
curveId = str(curveId)
# update data plot
if (not self.pauseFlag) and curveId in self.curves:
if self.oscilloscopeMode:
self.curves[curveId]['data'][self.oscilloscopeNextDataPosition] = float(value)
# only advance the oscilloscopeNextDataPosition for the first curve in the dict
if self.curves.keys()[0] == curveId:
self.oscilloscopeNextDataPosition = (self.oscilloscopeNextDataPosition + 1) % len(self.timeAxis)
else:
self.curves[curveId]['data'] = concatenate((self.curves[curveId]['data'][1:], self.curves[curveId]['data'][:1]), 1)
self.curves[curveId]['data'][-1] = float(value)
if not self.redrawManually:
if self.redrawOnEachUpdate or (self.redrawOnFullUpdate and self.curves.keys()[0] == curveId):
self.redraw()
def new_data(self,d):
# shift the data to create a scrolling dataplotx
self.y = np.concatenate( ([d], self.y[0:-1] ) )
self.cData.setData(self.x,self.y)
self.replot()
