def _start_clicked_cb(self, widget):
logging.debug('Starting measurement')
self.set_sensitive(False)
mname = self._name_entry.get_text()
if mname == '':
mname = 'auto'
delay = self._delay.get_value() / 1000.0
s = scriptgenerator.LoopGenerator(name=mname, delay=delay)
self._add_loop_var(s, 'z', self._sweep_z)
self._add_loop_var(s, 'y', self._sweep_y)
self._add_loop_var(s, 'x', self._sweep_x)
self._add_measurement(s, 'v1', self._measure_1)
self._add_measurement(s, 'v2', self._measure_2)
s.add_finish()
fn = os.path.join(qt.cmd("qt.config['tempdir']"),
'meas%d.py' % self._measurement_id)
self._measurement_id += 1
f = open(fn, 'w')
f.write(s.get_script())
f.close()
cmd = 'qt.Script(%r)()' % fn
qt.interpreter.ip_queue(cmd, callback=do_print)
self._measurement_start = time.time()
def _start_clicked_cb(self, widget):
logging.debug('Starting measurement')
self.set_sensitive(False)
mname = self._name_entry.get_text()
if mname == '':
mname = 'auto'
delay = self._delay.get_value() / 1000.0
s = scriptgenerator.LoopGenerator(name=mname, delay=delay)
self._add_loop_var(s, 'z', self._sweep_z)
self._add_loop_var(s, 'y', self._sweep_y)
self._add_loop_var(s, 'x', self._sweep_x)
self._add_measurement(s, 'v1', self._measure_1)
self._add_measurement(s, 'v2', self._measure_2)
s.add_finish()
fn = os.path.join(qt.cmd("qt.config['tempdir']"), 'meas%d.py' % self._measurement_id)
self._measurement_id += 1
f = open(fn, 'w')
f.write(s.get_script())
f.close()
cmd = 'qt.Script(%r)()' % fn
qt.interpreter.ip_queue(cmd, callback=do_print)
self._measurement_start = time.time()
def _update_cb(self, sender, ins_param, val):
if ins_param not in self._watch:
return
info = self._watch[ins_param]
ins = info['instrument']
param = info['parameter']
strval = qt.format_parameter_value(info['options'], val)
self._tree_model.set(info['iter'], 2, strval)
if not info.get('graph', False):
return
cols = self._get_ncols(info, val)
plotname = 'watch_%s.%s' % (ins.get_name(), param)
# Create temp file and setup plotting
if 'tempfile' not in info:
info['tempfile'] = temp.File(mode='w')
cmd = 'qt.plot_file("%s", name="%s", clear=True)' % (
info['tempfile'].name, plotname)
qt.cmd(cmd, callback=lambda *x: True)
for i in range(cols - 2):
cmd = 'qt.plot_file("%s", name="%s", valdim=%d)' % (
info['tempfile'].name, plotname, i + 2)
qt.cmd(cmd, callback=lambda *x: True)
else:
info['tempfile'].reopen()
# Allocate array, fill xs and ys with first point, shift otherwise
if 'data' not in info or info['data'] is None:
d = np.ones([info['points'], cols])
info['data'] = d
r = self._get_row(info, val)
for i in range(cols):
d[:, i] = r[i]
else:
info['data'][:-1, :] = info['data'][1:, :]
r = self._get_row(info, val, prevrow=info['data'][-2, :])
info['data'][-1, :] = r
np.savetxt(info['tempfile'].get_file(), info['data'])
info['tempfile'].close()
cmd = 'qt.plots["%s"].update()' % (plotname, )
qt.cmd(cmd)
def _update_cb(self, sender, ins_param, val):
if ins_param not in self._watch:
return
info = self._watch[ins_param]
ins = info['instrument']
param = info['parameter']
strval = qt.format_parameter_value(info['options'], val)
self._tree_model.set(info['iter'], 2, strval)
if not info.get('graph', False):
return
cols = self._get_ncols(info, val)
plotname = 'watch_%s.%s' % (ins.get_name(), param)
# Create temp file and setup plotting
if 'tempfile' not in info:
info['tempfile'] = temp.File(mode='w')
cmd = 'qt.plot_file("%s", name="%s", clear=True)' % (info['tempfile'].name, plotname)
qt.cmd(cmd, callback=lambda *x: True)
for i in range(cols - 2):
cmd = 'qt.plot_file("%s", name="%s", valdim=%d)' % (info['tempfile'].name, plotname, i+2)
qt.cmd(cmd, callback=lambda *x: True)
else:
info['tempfile'].reopen()
# Allocate array, fill xs and ys with first point, shift otherwise
if 'data' not in info or info['data'] is None:
d = np.ones([info['points'], cols])
info['data'] = d
r = self._get_row(info, val)
for i in range(cols):
d[:,i] = r[i]
else:
info['data'][:-1,:] = info['data'][1:,:]
r = self._get_row(info, val, prevrow=info['data'][-2,:])
info['data'][-1,:] = r
np.savetxt(info['tempfile'].get_file(), info['data'])
info['tempfile'].close()
cmd = 'qt.plots["%s"].update()' % (plotname, )
qt.cmd(cmd)
def _update_cb(self, sender, ins_param, val):
if ins_param not in self._watch:
return
info = self._watch[ins_param]
ins = info['instrument']
param = info['parameter']
strval = qt.format_parameter_value(info['options'], val)
self._tree_model.set(info['iter'], 2, strval)
if not info.get('graph', False):
return
plotname = 'watch_%s.%s' % (ins.get_name(), param)
if 'data' not in info or info['data'] is None:
cols = self._get_ncols(info, val)
d = np.zeros([info['points'], cols], dtype=np.float)
r = self._get_row(info, val)
d[0, :] = self._get_row(info, val)
info['data'] = d
info['tempfile'] = temp.File(mode='w')
cmd = 'qt.plot_file("%s", name="%s", clear=True)' % (
info['tempfile'].name, plotname)
qt.cmd(cmd, callback=lambda *x: do_print(x))
for i in range(cols - 2):
cmd = 'qt.plot_file("%s", name="%s", valdim=%d)' % (
info['tempfile'].name, plotname, i + 2)
qt.cmd(cmd, callback=lambda *x: do_print(x))
else:
info['tempfile'].reopen()
info['data'][0:-1, :] = info['data'][1:, :]
r = self._get_row(info, val, prevrow=info['data'][-2, :])
info['data'][-1, :] = self._get_row(info,
val,
prevrow=info['data'][-2, :])
np.savetxt(info['tempfile'].get_file(), info['data'])
info['tempfile'].close()
cmd = 'qt.plots["%s"].update()' % (plotname, )
qt.cmd(cmd)
def _update_cb(self, sender, ins_param, val):
if ins_param not in self._watch:
return
info = self._watch[ins_param]
ins = info['instrument']
param = info['parameter']
strval = qt.format_parameter_value(info['options'], val)
self._tree_model.set(info['iter'], 2, strval)
if not info.get('graph', False):
return
plotname = 'watch_%s.%s' % (ins.get_name(), param)
if 'data' not in info or info['data'] is None:
cols = self._get_ncols(info, val)
d = np.zeros([info['points'], cols], dtype=np.float)
r = self._get_row(info, val)
d[0,:] = self._get_row(info, val)
info['data'] = d
info['tempfile'] = temp.File(mode='w')
cmd = 'qt.plot_file("%s", name="%s", clear=True)' % (info['tempfile'].name, plotname)
qt.cmd(cmd, callback=lambda *x: do_print(x))
for i in range(cols - 2):
cmd = 'qt.plot_file("%s", name="%s", valdim=%d)' % (info['tempfile'].name, plotname, i+2)
qt.cmd(cmd, callback=lambda *x: do_print(x))
else:
info['tempfile'].reopen()
info['data'][0:-1,:] = info['data'][1:,:]
r = self._get_row(info, val, prevrow=info['data'][-2,:])
info['data'][-1,:] = self._get_row(info, val, prevrow=info['data'][-2,:])
np.savetxt(info['tempfile'].get_file(), info['data'])
info['tempfile'].close()
cmd = 'qt.plots["%s"].update()' % (plotname, )
qt.cmd(cmd)
