def save_classifications(self):
filename = save_file_gui("Save classifications", filetypes='*.json')
if filename is None:
return None
states = [np.asscalar(a) for a in self.window_states]
data = {'states': states}
# this saves the array in .json format
json.dump(data,
codecs.open(filename, 'w', encoding='utf-8'),
separators=(',', ':'),
sort_keys=True,
indent=4)
def save_data(self):
filename = save_file_gui(prompt="Save CDF", filetypes='.txt')
if filename == '' or filename is None:
return
xdata = self.squared_SLDs
ydata = self.y
data = np.array([xdata, ydata]).T
np.savetxt(filename, data, fmt='%f')
#SLD_Histogram(g.m.pynsight.points)
#y,x =np.histogram(track_lens, bins = np.arange(np.max(track_lens)))
#x=x[:-1]
#pg.plot(x,y)
def save_training_data(self):
progress = g.quantimus.create_progress_bar(
'Please wait training data is being saved...')
progress.show()
QtWidgets.QApplication.processEvents()
filename = save_file_gui("Save training_data", filetypes='*.json')
if filename is None:
return None
x, y = self.get_training_data()
y = y.tolist()
x = x.tolist()
data = {'features': x, 'states': y}
# this saves the array in .json format
json.dump(data,
codecs.open(filename, 'w', encoding='utf-8'),
separators=(',', ':'),
sort_keys=True,
indent=4)
def save_data(self):
filename = save_file_gui(prompt="Save CDF", filetypes='.txt')
if filename == '' or filename is None:
return
xdata = self.squared_SLDs
ydata = self.y
data = np.array([xdata, ydata]).T
np.savetxt(filename, data, fmt='%f')
#SLD_Histogram(g.m.pynsight.points)
#y,x =np.histogram(track_lens, bins = np.arange(np.max(track_lens)))
#x=x[:-1]
#pg.plot(x,y)
def select_file(self):
filename = save_file_gui("Select file name")
self.fnameTextBox.setText(filename)
print(filename)
def export_histogram(self):
filename = save_file_gui(prompt="Save Histogram", filetypes='.txt')
if filename != '' and filename is not None:
np.savetxt(filename, self.plotWidget.plot_data, fmt='%f')
def export_histogram(self):
filename = save_file_gui(prompt="Save Histogram", filetypes='.txt')
if filename != '' and filename is not None:
np.savetxt(filename, self.plotWidget.plot_data, fmt='%f')