Source code for gui.core.Clustering

from PyQt5 import QtWidgets

from gui.core.clusteringMethods import cluster_KMeans
from gui.core.clusteringMethods import cluster_Spectral
from gui.ui.Clustering import Ui_Form
from gui.util import Qtickle
from gui.util.Modules import Modules



[docs]
class Clustering(Ui_Form, Modules):

[docs]
    def setupUi(self, Form):
        self.Form = Form
        super().setupUi(Form)
        Modules.setupUi(self, Form)
        self.clusteringMethods()



[docs]
    def get_widget(self):
        return self.formGroupBox



[docs]
    def connectWidgets(self):
        self.algorithm_list = ['Choose an algorithm',
            'K-Means',
            'Spectral'
        ]

        self.setComboBox(self.chooseDataComboBox, self.datakeys)
        self.setListWidget(self.variables_list, self.xvar_choices())
        self.chooseDataComboBox.currentIndexChanged.connect(
            lambda: self.changeComboListVars(
                self.variables_list,
                self.xvar_choices()
            )
        )
        self.setComboBox(self.chooseMethodComboBox, self.algorithm_list)
        self.chooseMethodComboBox.currentIndexChanged.connect(
            lambda: self.make_cluster_widget(
                self.chooseMethodComboBox.currentText()
            )
        )



[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



[docs]
    def setGuiParams(self, dict):
        """
        Overriding Modules' setGuiParams, because we are accessing a list of
        lists
        And each submodule contains it's 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):
        method = self.chooseMethodComboBox.currentText()
        datakey = self.chooseDataComboBox.currentText()
        params, modelkey = self.getMethodParams(
            self.chooseMethodComboBox.currentIndex()
        )
        col = [str(i.text()) for i in self.variables_list.selectedItems()]
        self.data[datakey].cluster(col, method, [], params)



[docs]
    def make_cluster_widget(self, alg):
        self.hideAll()
        # print(alg)
        for i in range(len(self.algorithm_list)):
            if alg == self.algorithm_list[i] and i > 0:
                self.alg[i - 1].setHidden(False)



[docs]
    def hideAll(self):
        for a in self.alg:
            a.setHidden(True)



[docs]
    def clusteringMethods(self):
        self.alg = []
        list_forms = [cluster_KMeans,
            cluster_Spectral]
        for items in list_forms:
            self.alg.append(items.Ui_Form())
            self.alg[-1].setupUi(self.Form)
            self.clustering_vlayout.addWidget(self.alg[-1].get_widget())
            self.alg[-1].setHidden(True)



[docs]
    def getMethodParams(self, index):
        return self.alg[index - 1].run()



[docs]
    def xvar_choices(self):
        try:
            try:
                xvarchoices = self.data[
                    self.chooseDataComboBox.currentText()].df.columns.levels[
                    0].values
            except:
                xvarchoices = self.data[
                    self.chooseDataComboBox.currentText()].columns.values
            xvarchoices = [i for i in xvarchoices if
                'Unnamed' not in i]  # remove unnamed columns
            # from choices
        except:
            xvarchoices = ['No valid choices!']
        return xvarchoices




if __name__ == "__main__":
    import sys

    app = QtWidgets.QApplication(sys.argv)

    Form = QtWidgets.QWidget()
    ui = Clustering()
    ui.setupUi(Form)
    Form.show()
    sys.exit(app.exec_())