def save_spectrum(self, ret=False):
spec = andor.get_spectrum()
specd = qt.Data(name='spectrum')
specd.add_value('Counts')
specd.create_file()
specd.add_data_point(spec)
specd.close_file()
qt.plot(specd, name='saved_spectrum', clear=True)
if ret:
return spec
def save_spectrum(self, ret=False):
spec = winspec.get_spectrum()
specd = qt.Data(name='spectrum')
specd.add_coordinate('Wavelength', units='nm')
specd.add_value('Counts')
specd.create_file()
specd.add_data_point(spec)
specd.close_file()
qt.plot(specd, name='saved_spectrum', clear=True)
if ret:
return spec
def example1(f_vec, b_vec):
'''
this example is exactly the same as 'basic_measure_script.py'
but now made into a function. The main advantage is that now
the parameters f_vec and b_vec can be provided when calling
the function: "measure_module.example1(vec1, vec2)", instead
of having to change the script.
To run the function type in the terminal:
fv=numpy.arange(0,10,0.01)
bv=numpy.arange(-5,5,0.1)
measure_module.example1(fv, bv)
'''
qt.mstart()
data = qt.Data(name='testmeasurement')
data.add_coordinate('frequency, mw src 1 [Hz]')
data.add_coordinate('Bfield, ivvi dac 3 [mV]')
data.add_value('Psw SQUID')
data.create_file()
plot2d = qt.Plot2D(data, name='measure2D')
plot3d = qt.Plot3D(data, name='measure3D', style='image')
for b in b_vec:
fake_ivvi_set_dac_3(b)
for f in f_vec:
fake_mw_src_set_freq(f)
result = fake_readout_psw()
data.add_data_point(f, b, result)
qt.msleep(0.01)
data.new_block()
data.close_file()
qt.mend()
def save_trace(self, filepath=None, plot=True):
'''
runs 'get_trace()' and saves the output to a file.
Input:
filepath (string): Path to where the file should be saved.(optional)
Output:
filepath (string): The filepath where the file has been created.
'''
#TODO: change value label 'S_ij' to represent actual measurement
freqs, reply = self.get_trace()
d = qt.Data(name='netan')
d.add_coordinate('freq [Hz]')
d.add_value('S_ij [dB]')
d.create_file(filepath=filepath)
d.add_data_point(zip(freqs, reply))
d.close_file()
if plot:
p = qt.plot(d, name='netan', clear=True)
p.save_png()
p.save_gp()
return d.get_filepath()
import numpy as np
from qtlab.source import qt
x = np.arange(-10, 10, 0.2)
y = np.sinc(x)
yerr = 0.1 * np.random.rand(len(x))
d = qt.Data()
d.add_coordinate('x')
d.add_coordinate('y')
d.add_coordinate('yerr')
d.create_file()
d.add_data_point(x, y, yerr)
p = qt.Plot2D()
p.add_data(d, coorddim=0, valdim=1, yerrdim=2)
# or: ('ok' is style for black circles)
qt.plot(x, y, 'ok', yerr=yerr, name='test2')
def example3(x_vec=numpy.linspace(0, 10, 10), y_vec=numpy.linspace(0, 10, 50)):
'''
To run the function type in the terminal:
measure_module.example3()
'''
qt.mstart()
data = qt.Data(name='testmeasurement')
data.add_coordinate('x')
data.add_coordinate('y')
data.add_value('z1')
data.add_value('z2')
data.add_value('z3')
data.create_file()
plot2d_1 = qt.Plot2D(data, name='2D_1', coorddim=1, valdim=2)
plot2d_2 = qt.Plot2D(data, name='2D_2', coorddim=1, valdim=2, maxtraces=1)
plot2d_3 = qt.Plot2D(data, name='2D_3', coorddim=1, valdim=2, maxtraces=1)
plot2d_3.add_data(data, coorddim=1, valdim=3, maxtraces=1)
plot2d_3.add_data(data, coorddim=1, valdim=4, maxtraces=1)
plot2d_4 = qt.Plot2D(data, name='2D_4', coorddim=1, valdim=2, mintime=0.3)
plot2d_5 = qt.Plot2D(data,
name='2D_5',
coorddim=1,
valdim=2,
autoupdate=False)
plot3d_1 = qt.Plot3D(data, name='3D_1', style='image')
plot3d_2 = qt.Plot3D(data,
name='3D_2',
style='image',
coorddims=(1, 0),
valdim=4)
for x in x_vec:
for y in y_vec:
z1 = numpy.sin(x + y)
z2 = numpy.cos(x + y)
z3 = numpy.sin(x + 2 * y)
data.add_data_point(x, y, z1, z2, z3)
if z1 > 0:
plot2d_5.update()
qt.msleep(0.1)
data.new_block()
plot2d_1.save_png()
plot2d_1.save_gp()
plot3d_2.save_png()
plot3d_2.save_gp()
data.close_file()
qt.mend()
def example2(f_vec, b_vec):
'''
This example introduces three new features:
1) setting format and/or precision of data in the datafile.
using 'precision' will keep the default scientific notation,
'format' can be anything you like
=> add_coordinate(precision=<nr>)
=> add_coordinate(format='<format_string>')
2) specify specific filepath for the data file (in stead of
automatic filepath)
=> create_file(filepath=<filepath>)
3) turn off automatic saving of instrument-settings-file.
=> create_file(settings_file=False)
To run the function type in the terminal:
fv=numpy.arange(0,10,0.01)
bv=numpy.arange(-5,5,0.1)
measure_module.example2(fv, bv)
'''
qt.mstart()
# this shows how to change format of saved data (per column)
data = qt.Data(name='testmeasurement')
data.add_coordinate('frequency, mw src 1 [Hz]', precision=3)
data.add_coordinate('Bfield, ivvi dac 3 [mV]', format='%.12f')
data.add_value('Psw SQUID', format='%.3e')
data.create_file()
# this shows how to save to a specific path and name, and how
# to avoid a settings file to be created. The directory is first
# retreived from the previous data object
dir = data.get_dir()
maxfilepath = os.path.join(dir, 'maxvals.dat')
data_max = qt.Data(name='maxvals')
data_max.add_coordinate('Bfield, ivvi dac 3 [mV]')
data_max.add_value('resonance frequency [Hz]')
data_max.create_file(filepath=maxfilepath, settings_file=False)
plot2d = qt.Plot2D(data, name='measure2D')
plot3d = qt.Plot3D(data, name='measure3D', style='image')
plot2dmax = qt.Plot2D(data_max, name='maxvals')
for b in b_vec:
fake_ivvi_set_dac_3(b)
last_trace = []
for f in f_vec:
fake_mw_src_set_freq(f)
result = fake_readout_psw()
data.add_data_point(f, b, result)
last_trace.append(result)
qt.msleep(0.01)
data.new_block()
loc_of_max = numpy.argmax(last_trace)
freq_at_max = f_vec[loc_of_max]
data_max.add_data_point(b, freq_at_max)
data.close_file()
data_max.close_file()
qt.mend()
