def __init__(self, parent=None):
QMainWindow.__init__(self, parent)
self.create_main_frame()
self.params = calibrate(plot=False)
self.temp = 5
os.makedirs("temp", exist_ok=True)
self.restore()
def set_options(self):
dlg = optionsDialog(self)
if (dlg.exec_() == QDialog.Accepted):
self.temp = dlg.getValues()
self.params = calibrate(0, self.temp)
if self.sample:
self.sample.set_temp(self.temp)
def load(cls, path):
files = np.load(path)
pos = files['pos']
_points = files['points'].tolist()
sp = files['spectra']
try:
params = calibrate(0,files['temp'])
except:
params = calibrate(0)
for spec in sp:
spec[1] = params
_spectra = list(map(lambda x: SpectrumAnalyser.from_array(x),sp))
try:
fname=files['name']
except:
fname=os.path.splitext(os.path.basename(path))[0]
return cls(name = fname,bl=pos[0],br=pos[1],tl=pos[4],tr=pos[3],c=pos[2],points = _points, spectra = _spectra)
def __init__(self,spectrum,params=None,peaks=None,noise=None,toeV=True):
self.shift_is_held = False
self.spectrum = spectrum
self.params = calibrate(plot=False) if params is None else params
self.peaks = [] if peaks is None else peaks
self.Boron = [0,0]
self.Ratio = [0,0]
self.noise = [0,0] if noise is None else noise
self.coords = []
self.cidclick = None
self.analyse(toeV)
def __init__(self,name="",bl=[0,0],br=[4,0],tl=[4,4],tr=[4,4],c=None,points=[],spectra=[],temp=5):
self.shift_is_held = False
self.bottom_left=bl
self.bottom_right= br
self.top_left = tl
self.top_right = tr
self.cut= c
self.transParam = self.get_transform()
self.temp = temp
self.params = calibrate(0,temp=self.temp)
self.points = points
self.spectra = spectra
self.name = name
def showcalib(self):
temp = self.getValues()
calibrate(plot=True, temp=temp)
def set_temp(self,temp):
self.temp =temp
self.params = calibrate(0,temp)
for sp in self.spectra:
sp.params = self.params
sp.update()
"""
Created on Wed May 30 15:44:04 2018
@author: sylvain.finot
"""
from Calibrate import calibrate
from SpectrumAnalyser import SpectrumAnalyser
from sample import sample
import time
import matplotlib.pyplot as plt
from report import report
import numpy as np
start_time = time.clock()
params = calibrate(plot=False)
#spectrumA = SpectrumAnalyser.from_csv('06-04-2018\\NDT38\\5\\Spot7_10kV_mag2984k_5K_t100s_slit0-1mm',params)
#spectrumA.plot()
#spectrumA = SpectrumAnalyser.from_csv('NDT33\\1\\Spot7_10kV_mag2984k_5K_t100s_slit0-1mm',params)
#spectrumA.plot()
#spectrum = SpectrumAnalyser.from_csv("""..\\14062018\\06-04-2018\\NDT38\\6\\Spot7_10kV_mag2984k_5K_t100s_slit0-1mm""")
#spectrum.plot()
#NDT38 = sample(name="NDT38",
# bl=[5.15141,-0.93662],
# br=[9.16087, -1.30639],
# tl=[4.80728,-4.92088],
# c=[8.84821, -4.53165],
# tr=[8.46323, -5.27961])
#NDT38 = sample(name="NDT38",
# bl=[5.15141,-0.93662],