import pandas as pd
from PyQt5 import QtWidgets
import gui.core.unmixingMethods as um
from gui.ui.Unmixing import Ui_Form
from gui.util import Qtickle
from gui.util.Modules import Modules
# import mesma
[docs]
class Unmixing(Ui_Form, Modules):
[docs]
def setupUi(self, Form):
self.Form = Form
super().setupUi(Form)
Modules.setupUi(self, Form)
self.unmixingMethods()
[docs]
def getGuiParams(self):
"""
Overriding Modules' getGuiParams, because I'll need to do a list of
lists
in order to obtain the regressionMethods' parameters
"""
self.qt = Qtickle.Qtickle(self)
s = []
s.append(self.qt.guiSave())
for items in self.alg:
s.append(items.getGuiParams())
return s
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def setGuiParams(self, dict):
"""
Overriding Modules' setGuiParams, because we are accessing a list of
lists
And each submodule contains its own `setGuiParams`
"""
self.qt = Qtickle.Qtickle(self)
self.qt.guiRestore(dict[0])
for i in range(len(dict)):
self.alg[i - 1].setGuiParams(dict[i])
[docs]
def selectiveSetGuiParams(self, dict):
"""
Override Modules' selective Restore function
Setup Qtickle
selectively restore the UI, the data to do that will be in the 0th
element of the dictionary
We will then iterate through the rest of the dictionary
Will now restore the parameters for the algorithms in the list,
Each of the algs have their own selectiveSetGuiParams
:param dict:
:return:
"""
self.qt = Qtickle.Qtickle(self)
self.qt.selectiveGuiRestore(dict[0])
for i in range(len(dict)):
self.alg[i - 1].selectiveSetGuiParams(dict[i])
[docs]
def run(self):
pyspmethods = ['FCLS', 'UCLS', 'NNLS']
normalize = False
params = None
method = self.chooseMethodComboBox.currentText()
datakey = self.chooseDataComboBox.currentText()
endmembers = self.endmemberscomboBox.currentText()
if method in pyspmethods:
normalize = self.getMethodParams(
self.chooseMethodComboBox.currentIndex()
)
else:
params = self.getMethodParams(
self.chooseMethodComboBox.currentIndex()
)
results = self.data[datakey].unmix(
self.data[endmembers].df, method,
params=params, normalize=normalize
)
if results.columns[0] in self.data[datakey].df.columns:
print(
'Identical column names detected! Cannot add unmixing '
'results to data frame.'
)
else:
self.data[datakey].df = pd.concat(
(
self.data[datakey].df,
results),
axis=1
)
[docs]
def hideAll(self):
for a in self.alg:
a.setHidden(True)
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def unmixingMethods(self):
self.alg = []
list_forms = [um.unmix_NNLS,
um.unmix_FCLS,
um.unmix_UCLS,
um.unmix_LMM,
um.unmix_GBM]
for items in list_forms:
self.alg.append(items.Ui_Form())
self.alg[-1].setupUi(self.Form)
self.dim_reduction_vlayout.addWidget(self.alg[-1].get_widget())
self.alg[-1].setHidden(True)
[docs]
def getMethodParams(self, index):
return self.alg[index - 1].run()
if __name__ == "__main__":
import sys
app = QtWidgets.QApplication(sys.argv)
Form = QtWidgets.QWidget()
ui = Unmixing()
ui.setupUi(Form)
Form.show()
sys.exit(app.exec_())