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helpfunctions.py
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helpfunctions.py
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from samples import Sample
import numpy as np
import csv
import json
from PyQt5.QtWidgets import QFileDialog
import seaborn as sns
def getPath(self, documenttype="Data files (*.txt *.xy *.dat);;All Files (*)"):
options = QFileDialog.Options()
options |= QFileDialog.DontUseNativeDialog
path = QFileDialog.getOpenFileName(self,"QFileDialog.getOpenFileName()", "",documenttype, options=options)[0]
return path
def saveFileDialog(self, documenttype="Portable Document Format (PDF) (*.pdf)"):
options = QFileDialog.Options()
options |= QFileDialog.DontUseNativeDialog
filename = QFileDialog.getSaveFileName(self, "QFileDialog.getSaveFileName()", "",
documenttype, options=options)
return filename
def setSource(source):
with open('config.json', 'r') as f:
config = json.load(f)
config['source'] = source
with open('config.json', 'w') as f:
json.dump(config, f)
def getSource():
with open('config.json', 'r') as f:
config = json.load(f)
return config['source'].lower()
def setGraphTheme():
with open('config.json', 'r') as f:
config = json.load(f)
theme = config['theme'].lower()
sns.set_style(theme)
def setGraphContext():
with open('config.json', 'r') as f:
config = json.load(f)
context = config['context'].lower()
sns.set_context(context)
def setSuperScripts(attribute):
attribute = attribute.replace("11B", "$^1$$^1$B")
attribute = attribute.replace("10B", "$^1$$^0$B")
attribute = attribute.replace("4C", "$_4$C")
return attribute
def createLabel(self, index):
attributes = getLabelAttributes()
label = ""
for item in attributes:
if getattr(self.samplelist[index], item) != "":
attribute = getattr(self.samplelist[index], item)
attribute = setSuperScripts(attribute)
if item == "gamma":
attribute = "$\Gamma$=" + attribute
if item == "period":
attribute = "$\Lambda$=" + attribute
if item == "bias":
attribute = "U=" + attribute
if item == "magPower":
attribute = "P=" + attribute
label = label + attribute + ", "
label = label[:-2] #Remove comma in the end
return label
def getWavelength(source):
with open('config.json', 'r') as f:
config = json.load(f)
source = source.lower()
if source == "x-ray":
return config['xraywavelength']
if source == "neutron":
return config['neutronwavelength']
def getSkipdata():
with open('config.json', 'r') as f:
config = json.load(f)
return config['skipspecdata']
def getLabelAttributes():
with open('config.json', 'r') as f:
config = json.load(f)
config = config['legend']
attributes = []
for key in config:
if config.get(key) == True:
attributes.append(key)
return attributes
def openXY(path):
X, Y = [], []
for line in open(path, 'r'):
values = [float(s) for s in line.split()]
X.append(values[0])
Y.append(values[1])
XY = [X, Y]
return XY
def multiplyList(myList, multiplier):
for x in myList:
result = multiplier * x
return result
def clearLayout(layout):
while layout.count():
child = layout.takeAt(0)
if child.widget():
child.widget().deleteLater()
def loadSampleList(self):
samplelist = []
with open('samplelist.csv', 'r') as file:
reader = csv.reader(file)
i = 0
for row in reader:
if i == 0:
i += 1
else:
newSample = Sample(sampleID=row[0], date=row[1], layers=row[2], materials=row[3], magPower=row[4], growthTimes=row[5], gasses=row[6], backgroundPressure=row[7], period=row[8], gamma=row[9],
bias=row[10], comments=row[11], specularpathXray=row[12], offspecularpathXray=row[13], specularpathNeutron=row[14], offspecularpathNeutron=row[15],
superAdamMapPath=row[16]) # SampleID, Date, BG pressure
samplelist.append(newSample)
samplelist = sorted(samplelist, key=lambda x: x.sampleID, reverse=False)
return samplelist
def calculatePeriod(self):
source = getSource()
wavelength = getWavelength(source)
m = []
m_offset = int(self.moffset_box.text())
for i in range(len(self.peakobject)):
m.append(i+1+m_offset)
peaks = []
for element in self.peakobject:
peaks.append(element.peak)
mSquared = np.square(m)
thetaSquared = np.square(np.sin((np.array(peaks) / 2) * np.pi / 180))
coef = np.polyfit(mSquared, thetaSquared, 1)
period = wavelength / (2 * np.sqrt(coef[0]))
self.periodLabel.setText(f"Period: {period:.2f} Å")
x = mSquared
y = thetaSquared
XY = [x,y, coef]
return XY