def record_multiple(self, ys, plotid=0, scalar=1, track_x=True, **kw):
tg = self.global_time_generator
if tg is None:
tg = time_generator(self.scan_delays[plotid])
self.global_time_generator = tg
x = tg.next() * scalar
for i, yi in enumerate(ys):
kw['track_x'] = False
self.record(yi, x=x, series=i, **kw)
ma = max(ys)
mi = min(ys)
if ma < self.cur_max[plotid]:
self.cur_max[plotid] = -Inf
if mi > self.cur_min[plotid]:
self.cur_min[plotid] = Inf
if track_x:
dl = self.data_limits[plotid]
mi = max(1, x - dl * self.scan_delays[plotid])
self.set_x_limits(# max=x,
min_=mi,
plotid=plotid,
# pad=1
)
return x
def set_time_zero(self, plotid=0):
tg = time_generator(self.scan_delays[plotid])
try:
self.time_generators[plotid] = tg
except IndexError:
self.time_generators.append(tg)
def record_multiple(self, ys, plotid=0, scalar=1, track_x=True, **kw):
tg = self.global_time_generator
if tg is None:
tg = time_generator(self.scan_delays[plotid])
self.global_time_generator = tg
x = tg.next() * scalar
for i, yi in enumerate(ys):
kw['track_x'] = False
self.record(yi, x=x, series=i, **kw)
ma = max(ys)
mi = min(ys)
if ma < self.cur_max[plotid]:
self.cur_max[plotid] = -Inf
if mi > self.cur_min[plotid]:
self.cur_min[plotid] = Inf
if track_x:
dl = self.data_limits[plotid]
mi = max(1, x - dl * self.scan_delays[plotid])
self.set_x_limits( # max=x,
min_=mi,
plotid=plotid,
# pad=1
)
return x
def set_time_zero(self, plotid=0):
tg = time_generator(self.scan_delays[plotid])
try:
self.time_generators[plotid] = tg
except IndexError:
self.time_generators.append(tg)
def add_time_stamped_value(self, value, frame_key=None, rawtime=False):
'''
'''
if frame_key is None:
frame_key = self._current_frame
frame = self._get_frame(frame_key)
if frame is not None:
if rawtime:
if self.time_gen is None:
self.time_gen = time_generator()
t = 0
else:
t = self.time_gen.next()
else:
t = generate_datetimestamp()
datum = (t, value)
self.new_writer(frame, datum)
def add_time_stamped_value(self, value, frame_key=None, rawtime=False):
'''
'''
if frame_key is None:
frame_key = self._current_frame
frame = self._get_frame(frame_key)
if frame is not None:
if rawtime:
if self.time_gen is None:
self.time_gen = time_generator()
t = 0
else:
t = next(self.time_gen)
else:
t = generate_datetimestamp()
datum = (t, value)
self.new_writer(frame, datum)
def record_multiple(self, ys, plotid=0, scalar=1, track_x=True, **kw):
tg = self.global_time_generator
if tg is None:
tg = time_generator(self.scan_delays[plotid])
self.global_time_generator = tg
x = tg.next() * scalar
for i, yi in enumerate(ys):
kw['track_x'] = False
self.record(yi, x=x, series=i, **kw)
ma = max(ys)
mi = min(ys)
if ma < self.cur_max[plotid]:
self.cur_max[plotid] = -Inf
if mi > self.cur_min[plotid]:
self.cur_min[plotid] = Inf
if track_x:
# dl = self.data_limits[plotid]
# mi = max(1, x - dl * self.scan_delays[plotid])
# ma = max(x*1.05, mi+)
sw = self.scan_widths[plotid]
if sw:
ma = max(x*1.05, sw)
mi = 0
if ma > sw:
mi = ma-sw
else:
ma = None
dl = self.data_limits[plotid]
mi = max(1, x - dl * self.scan_delays[plotid])
self.set_x_limits(max_=ma,
min_=mi,
plotid=plotid)
return x
def record(self, y, x=None, series=0, plotid=0,
track_x=True, track_y=True, do_after=None, track_y_pad=5,
aux=False, pad=0.1, **kw):
xn, yn = self.series[plotid][series]
plot = self.plots[plotid]
xd = plot.data.get_data(xn)
yd = plot.data.get_data(yn)
if x is None:
try:
tg = self.time_generators[plotid]
except IndexError:
tg = time_generator(self.scan_delays[plotid])
self.time_generators.append(tg)
nx = tg.next()
else:
nx = x
ny = float(y)
# update raw data
# rx = self.raw_x[plotid][series]
# ry = self.raw_y[plotid][series]
#
# self.raw_x[plotid][series] = hstack((rx[MAX_LIMIT:], [nx]))
# self.raw_y[plotid][series] = hstack((ry[MAX_LIMIT:], [ny]))
dl = self.data_limits[plotid]
sd = self.scan_delays[plotid]
pad = dl * pad
# lim = MAX_LIMIT
# pad = 100
# print lim, nx, ny
lim = -dl * sd - 1000
new_xd = hstack((xd[lim:], [nx]))
new_yd = hstack((yd[lim:], [ny]))
# print new_xd
self.cur_max[plotid] = max(self.cur_max[plotid], max(new_yd))
self.cur_min[plotid] = min(self.cur_min[plotid], min(new_yd))
def _record_():
if track_x and (self.track_x_min or self.track_x_max) \
or self.force_track_x_flag:
ma = new_xd[-1]
sd = self.scan_delays[plotid]
mi = ma - dl * sd + pad
if self.force_track_x_flag or \
ma >= dl * sd - pad:
if self.force_track_x_flag:
self.force_track_x_flag = False
ma = dl * sd
if not self.track_x_max:
ma = None
else:
ma = ma + pad
if not self.track_x_min:
mi = None
else:
mi = max(1, mi)
self.set_x_limits(max_=ma,
min_=mi,
plotid=plotid,
# force=False
# pad=10 * self.scan_delays[plotid]
)
if track_y and (self.track_y_min[plotid] or self.track_y_max[plotid]):
if isinstance(track_y, tuple):
mi, ma = track_y
if ma is None:
ma = self.cur_max[plotid]
if mi is None:
mi = self.cur_min[plotid]
else:
if not self.track_y_max[plotid]:
ma = None
else:
ma = self.cur_max[plotid]
if not self.track_y_min[plotid]:
mi = None
else:
mi = self.cur_min[plotid]
self.set_y_limits(max_=ma,
min_=mi,
plotid=plotid,
pad=track_y_pad,
force=False
)
if aux:
self.add_datum_to_aux_plot((nx, ny), plotid, series)
else:
plot.data.set_data(xn, new_xd)
plot.data.set_data(yn, new_yd)
# self.redraw()
if do_after:
do_after_timer(do_after, _record_)
else:
_record_()
return nx
def record(self,
y,
x=None,
series=0,
plotid=0,
track_x=True,
track_y=True,
do_after=None,
track_y_pad=5,
aux=False,
pad=0.1,
**kw):
xn, yn = self.series[plotid][series]
plot = self.plots[plotid]
xd = plot.data.get_data(xn)
yd = plot.data.get_data(yn)
if x is None:
try:
tg = self.time_generators[plotid]
except IndexError:
tg = time_generator(self.scan_delays[plotid])
self.time_generators.append(tg)
nx = tg.next()
else:
nx = x
ny = float(y)
# update raw data
# rx = self.raw_x[plotid][series]
# ry = self.raw_y[plotid][series]
#
# self.raw_x[plotid][series] = hstack((rx[MAX_LIMIT:], [nx]))
# self.raw_y[plotid][series] = hstack((ry[MAX_LIMIT:], [ny]))
dl = self.data_limits[plotid]
sd = self.scan_delays[plotid]
pad = dl * pad
# lim = MAX_LIMIT
# pad = 100
# print lim, nx, ny
lim = -dl * sd - 1000
new_xd = hstack((xd[lim:], [nx]))
new_yd = hstack((yd[lim:], [ny]))
# print new_xd
self.cur_max[plotid] = max(self.cur_max[plotid], max(new_yd))
self.cur_min[plotid] = min(self.cur_min[plotid], min(new_yd))
def _record_():
if track_x and (self.track_x_min or self.track_x_max) \
or self.force_track_x_flag:
ma = new_xd[-1]
sd = self.scan_delays[plotid]
mi = ma - dl * sd + pad
if self.force_track_x_flag or \
ma >= dl * sd - pad:
if self.force_track_x_flag:
self.force_track_x_flag = False
ma = dl * sd
if not self.track_x_max:
ma = None
else:
ma = ma + pad
if not self.track_x_min:
mi = None
else:
mi = max(1, mi)
self.set_x_limits(
max_=ma,
min_=mi,
plotid=plotid,
# force=False
# pad=10 * self.scan_delays[plotid]
)
if track_y and (self.track_y_min[plotid]
or self.track_y_max[plotid]):
if isinstance(track_y, tuple):
mi, ma = track_y
if ma is None:
ma = self.cur_max[plotid]
if mi is None:
mi = self.cur_min[plotid]
else:
if not self.track_y_max[plotid]:
ma = None
else:
ma = self.cur_max[plotid]
if not self.track_y_min[plotid]:
mi = None
else:
mi = self.cur_min[plotid]
self.set_y_limits(max_=ma,
min_=mi,
plotid=plotid,
pad=track_y_pad,
force=False)
if aux:
self.add_datum_to_aux_plot((nx, ny), plotid, series)
else:
plot.data.set_data(xn, new_xd)
plot.data.set_data(yn, new_yd)
# self.redraw()
if do_after:
do_after_timer(do_after, _record_)
else:
_record_()
return nx