def set_data(self, evt):
dB = evt.data
num_curves = evt.ninputs
L = len(dB) / num_curves
self._points = []
for i in range(0, num_curves):
self._points.append(numpy.zeros((L, 2), numpy.float64))
for i in range(0, num_curves):
self._points[i][:, 0] = self.curvesink.x_vals
self._points[i][:, 1] = dB[i * L:(i * L) + L]
lines = []
for i in range(0, num_curves):
lines.append(
plot.PolyLine(self._points[i],
colour=COLOR_LIST[i % num_curves],
legend=self.curvesink.legends[i]))
graphics = plot.PlotGraphics(lines,
title=self.curvesink.title,
xLabel=self.x_units,
yLabel=self.y_units)
x_range = self.curvesink.x_vals[0], self.curvesink.x_vals[-1]
ymax = self.curvesink.ref_level
ymin = self.curvesink.ref_level - self.curvesink.y_per_div * self.curvesink.y_divs
y_range = ymin, ymax
self.plot.Draw(graphics,
xAxis=x_range,
yAxis=y_range,
step=self.curvesink.y_per_div)
def format_xy_data(self, evt):
info = self.info
records = evt.data
nchannels = len(records)
npoints = len(records[0])
if nchannels < 2:
return
objects = []
# points = zip(records[0], records[1])
points = numpy.zeros((len(records[0]), 2), numpy.float32)
points[:, 0] = records[0]
points[:, 1] = records[1]
self.SetXUseScopeTicks(False)
m = info.get_marker()
if m == 'line':
objects.append(plot.PolyLine(points, colour=self.channel_color(0)))
else:
objects.append(
plot.PolyMarker(points, marker=m,
colour=self.channel_color(0)))
graphics = plot.PlotGraphics(objects,
title=self.info.title,
xLabel='I',
yLabel='Q')
self.Draw(graphics, xAxis=self.x_range, yAxis=self.y_range)
self.update_y_range()
self.update_x_range()
def set_data(self, evt):
dB = evt.data
L = len(dB)
if self.peak_hold:
if self.peak_vals is None:
self.peak_vals = dB
else:
self.peak_vals = numpy.maximum(dB, self.peak_vals)
dB = self.peak_vals
x = max(abs(self.facsink.sample_rate), abs(self.facsink.baseband_freq))
sf = 1000.0
units = "ms"
x_vals = ((numpy.arange(L / 2) * ((sf / self.facsink.sample_rate))))
points = numpy.zeros((len(x_vals), 2), numpy.float64)
points[:, 0] = x_vals
points[:, 1] = dB[0:L / 2]
lines = plot.PolyLine(points, colour='green') # DARKRED
graphics = plot.PlotGraphics([lines],
title=self.facsink.title,
xLabel=units,
yLabel="dB")
self.Draw(graphics, xAxis=None, yAxis=self.y_range)
self.update_y_range()
def format_data (self, evt):
if not self.info.running:
return
if self.info.xy:
self.format_xy_data (evt)
return
info = self.info
records = evt.data
nchannels = len (records)
npoints = len (records[0])
objects = []
Ts = 1.0 / (info.get_sample_rate () / info.get_decimation_rate ())
x_vals = Ts * numpy.arange (-npoints/2, npoints/2)
# preliminary clipping based on time axis here, instead of in graphics code
time_per_window = self.info.get_time_per_div () * 10
n = int (time_per_window / Ts + 0.5)
n = n & ~0x1 # make even
n = max (2, min (n, npoints))
self.SetXUseScopeTicks (True) # use 10 divisions, no labels
for ch in range(nchannels):
r = records[ch]
# plot middle n points of record
lb = npoints/2 - n/2
ub = npoints/2 + n/2
# points = zip (x_vals[lb:ub], r[lb:ub])
points = numpy.zeros ((ub-lb, 2), numpy.float64)
points[:,0] = x_vals[lb:ub]
points[:,1] = r[lb:ub]
m = info.get_marker ()
if m == 'line':
objects.append (plot.PolyLine (points,
colour=self.channel_color (ch),
legend=('Ch%d' % (ch+1,))))
else:
objects.append (plot.PolyMarker (points,
marker=m,
colour=self.channel_color (ch),
legend=('Ch%d' % (ch+1,))))
graphics = plot.PlotGraphics (objects,
title=self.info.title,
xLabel = '', yLabel = '')
time_per_div = info.get_time_per_div ()
x_range = (-5.0 * time_per_div, 5.0 * time_per_div) # ranges are tuples!
volts_per_div = info.get_volts_per_div ()
if not self.info.autorange:
self.y_range = (-4.0 * volts_per_div, 4.0 * volts_per_div)
self.Draw (graphics, xAxis=x_range, yAxis=self.y_range)
self.update_y_range () # autorange to self.y_range
def format_data(self, evt):
if not self.info.running:
return
info = self.info
records = evt.data
nchannels = len(records)
npoints = len(records[0])
self.total_points += npoints
x_vals = numpy.arange(0, evt.samples_per_symbol)
self.SetXUseScopeTicks(True) # use 10 divisions, no labels
objects = []
colors = [
'red', 'orange', 'yellow', 'green', 'blue', 'violet', 'cyan',
'magenta', 'brown', 'black'
]
r = records[0] # input data
v_min = None
v_max = None
for i in range(evt.num_plots):
points = []
for j in range(evt.samples_per_symbol):
v = r[i * evt.samples_per_symbol + j]
if (v_min is None) or (v < v_min):
v_min = v
if (v_max is None) or (v > v_max):
v_max = v
p = [j, v]
points.append(p)
objects.append(
plot.PolyLine(points,
colour=colors[i % len(colors)],
legend=('')))
graphics = plot.PlotGraphics(objects,
title=self.info.title,
xLabel='Time',
yLabel='Amplitude')
x_range = (0., 0. + (evt.samples_per_symbol - 1)) # ranges are tuples!
if self.y_range is None:
v_scale = max(abs(v_min), abs(v_max))
y_range = (-v_scale, v_scale)
#y_range = (min, max)
else:
y_range = self.y_range
self.Draw(graphics, xAxis=x_range, yAxis=y_range)
def format_data(self, evt):
if not self.info.running:
return
info = self.info
records = evt.data
nchannels = len(records)
npoints = len(records[0])
self.total_points += npoints
x_vals = numpy.arange(0, self.samples_per_symbol)
self.SetXUseScopeTicks(True) # use 10 divisions, no labels
objects = []
colors = [
'red', 'orange', 'yellow', 'green', 'blue', 'violet', 'cyan',
'magenta', 'brown', 'black'
]
r = records[0] # input data
for i in range(self.num_plots):
points = []
for j in range(self.samples_per_symbol):
p = [j, r[i * self.samples_per_symbol + j]]
points.append(p)
objects.append(
plot.PolyLine(points,
colour=colors[i % len(colors)],
legend=('')))
graphics = plot.PlotGraphics(objects,
title='Data Scope',
xLabel='Time',
yLabel='Amplitude')
x_range = (0., 0. + (self.samples_per_symbol - 1)
) # ranges are tuples!
self.y_range = (-4., 4.) # for standard -3/-1/+1/+3
self.Draw(graphics, xAxis=x_range, yAxis=self.y_range)
def set_data (self, evt):
calc_min = 99e10
calc_max = -99e10
dB = evt.data
L = len (dB)
calc_min = min(dB)
calc_max = max(dB)
if (self.ra_fftsink.ofunc != None):
self.ra_fftsink.ofunc(evt.data,L)
if self.peak_hold:
if self.peak_vals is None:
self.peak_vals = dB
else:
self.peak_vals = numpy.maximum(dB, self.peak_vals)
dB = self.peak_vals
x = max(abs(self.ra_fftsink.sample_rate), abs(self.ra_fftsink.baseband_freq))
if x >= 1e9:
sf = 1e-9
units = "GHz"
elif x >= 1e6:
sf = 1e-6
units = "MHz"
elif x >= 1e3:
sf = 1e-3
units = "kHz"
else:
sf = 1.0
units = "Hz"
if self.ra_fftsink.input_is_real: # only plot 1/2 the points
x_vals = ((numpy.arange (L/2)
* (self.ra_fftsink.sample_rate * sf / L))
+ self.ra_fftsink.baseband_freq * sf)
points = numpy.zeros((len(x_vals), 2), numpy.float64)
points[:,0] = x_vals
points[:,1] = dB[0:L/2]
else:
# the "negative freqs" are in the second half of the array
x_vals = ((numpy.arange(-L/2, L/2)
* (self.ra_fftsink.sample_rate * sf / L))
+ self.ra_fftsink.baseband_freq * sf)
points = numpy.zeros((len(x_vals), 2), numpy.float64)
points[:,0] = x_vals
points[:,1] = numpy.concatenate ((dB[L/2:], dB[0:L/2]))
lines = plot.PolyLine (points, colour='BLUE')
graphics = plot.PlotGraphics ([lines],
title=self.ra_fftsink.title,
xLabel = units, yLabel = "dB")
self.Draw (graphics, xAxis=None, yAxis=self.y_range)
d = calc_max - calc_min
d = d * 0.1
if self.ra_fftsink.autoscale == True:
self.y_range = self._axisInterval ('min', calc_min-d, calc_max+d)
else:
self.update_y_range ()
