def __test():
import os
test_dir = os.path.join(os.path.dirname(__file__), "data")
test_file = os.path.join(test_dir, "TMS-758.csv")
test_file = os.path.join(test_dir, "TMS-441.csv")
# test_file = os.path.join(test_dir, "TMS-310.csv")
points = read_and_transform.read_csv_file(test_file)
fix_vrpn_time_drift(points)
print points[0]
errors = [estimate_timing_errors(p, True) for p in points]
mean_error = np.mean(errors)
print "mean error:\t", mean_error
print "std error:\t", np.std(errors)
max_error = np.max(errors)
print "max error:\t", max_error
print "above 10% max:\t", len(filter(lambda x: x > max_error / 10, errors))
def open_file(self, checked=False):
global nombre_archivo
fileDialog = QtGui.QFileDialog(self, )
file_name = str(fileDialog.getOpenFileName(self, "Select csv file", self.__input_dir, "csv (*.csv)"))
nombre_archivo = file_name
if len(file_name) == 0: return
self.__input_dir = os.path.dirname(file_name)
#Points is the initial dataset
points = read_and_transform.read_csv_file(file_name)
hacks = {
#"skip_calib":("nasion",),
#"Not_Normalize" : True,
}
self.experiment.set_points(points,file_name, hacks=hacks)
self.experiment.file_name = file_name
self.ui.file_label.setText(os.path.basename(file_name))
self.ui.date_label.setText(self.experiment.mid_date.strftime("%a %d %b %Y"))
self.ui.duration_label.setText("Duration: " + str(self.experiment.total_duration))
self.blocks_model.set_blocks(self.experiment.blocks)
self.details_model.set_block(None)
self.viewer.draw_experiment_reference(self.experiment)
self.draw_blocks()
from tms import Blocks, read_and_transform __author__ = 'jc.forero47' m=25 import os test_dir = os.path.join(os.path.dirname(__file__),"data") test_file = os.path.join(test_dir,"TMS-441.csv") points = read_and_transform.read_csv_file(test_file) fechas = [p.date for p in points] my_list= Blocks.get_blocks(fechas) print len(my_list) print my_list
