def set_instrument(self, ins):
if type(ins) == types.StringType:
ins = qt.get_instrument_proxy(ins)
if self._instrument == ins:
return True
if ins is not None:
self._insname = ins.get_name()
else:
self._insname = ''
self._instrument = ins
self._func_list.clear()
if ins is not None:
self._func_list.append([TEXT_NONE, '<Nothing>'])
funcs = ins.get_functions()
for (name, options) in misc.dict_to_ordered_tuples(funcs):
if 'doc' in options:
doc = options['doc']
else:
doc = ''
self._func_list.append([name, doc])
else:
self._func_list.clear()
def get_selection(self):
try:
selstr = self.get_active_text()
if selstr == '':
return None
insname, dot, parname = selstr.partition('.')
logging.debug('Selected instrument %s, parameter %s', insname, parname)
ins = qt.get_instrument_proxy(insname)
if ins is None:
return None
return ins, parname
except Exception, e:
return None
def get_instrument(self):
item = self.get_active_iter()
if item is None:
return None
ins_name = self._ins_list.get(item, 0)
return qt.get_instrument_proxy(ins_name[0])
def _instrument_added_cb(self, sender, insname):
ins = qt.get_instrument_proxy(insname)
if ins is None:
return
if len(self._types) == 0 or ins.has_tag(self._types):
self._ins_list.append([ins.get_name()])
def _instrument_added_cb(self, sender, insname):
ins = qt.get_instrument_proxy(insname)
if ins is not None:
self.add_instrument(ins)
import lecroy
from data import Data
from numpy import *
from lib.network import object_sharer as objsh
import qtclient as qt
measurement = qt.get_instrument_proxy('measurement')
analysis = qt.get_instrument_proxy('analysis')
#start_analysis()
# Load matplotlib and select the GTK Agg back-end
import matplotlib as mpl
mpl.use('gtkagg')
# Load pyplot wrappers and set interactive mode on
import matplotlib.pyplot as plt
plt.ion()
def start_analysis():
'''
Start analysis of data as defined in virtual instrument 'measurement'.
'''
if (measurement.get_data_updated()==True) & (measurement.get_data_done()==False):
# Get names of columns
data_obj = Data(measurement.get_data_path())
dimensions = data_obj.get_dimensions()
column_names = []
for dimension in dimensions:
column_names.append(dimension['name'])
analysis.set_column_names(column_names)
def _instrument_added_cb(self, sender, insname):
ins = qt.get_instrument_proxy(insname)
if ins is not None:
self._add_instrument(ins)
else:
logging.warning('Unable to locate added instrument %s', insname)
def _add_instruments(self):
for name in self._instruments.get_instrument_names():
ins = qt.get_instrument_proxy(name)
self._add_instrument(ins)
def _instrument_added_cb(self, sender, insname):
ins = qt.get_instrument_proxy(insname)
if ins is not None:
self._add_instrument(ins)
else:
logging.warning('Unable to locate added instrument %s', insname)
def _add_instruments(self):
for name in self._instruments.get_instrument_names():
ins = qt.get_instrument_proxy(name)
self._add_instrument(ins)
import lecroy
from data import Data
from numpy import *
from lib.network import object_sharer as objsh
import qtclient as qt
measurement = qt.get_instrument_proxy('measurement')
analysis = qt.get_instrument_proxy('analysis')
#start_analysis()
# Load matplotlib and select the GTK Agg back-end
import matplotlib as mpl
mpl.use('gtkagg')
# Load pyplot wrappers and set interactive mode on
import matplotlib.pyplot as plt
plt.ion()
def start_analysis():
'''
Start analysis of data as defined in virtual instrument 'measurement'.
'''
if (measurement.get_data_updated() == True) & (measurement.get_data_done()
== False):
# Get names of columns
data_obj = Data(measurement.get_data_path())
dimensions = data_obj.get_dimensions()
column_names = []
for dimension in dimensions:
column_names.append(dimension['name'])