Fastest way to populate QTableView from Pandas data frame

Question

I\'m very new to PyQt and I am struggling to populate a QTableView control.

My code is the following:

def data_frame_to_ui(self, data_frame):
                


        

Answer 1

Apart from using QtCore.QAbstractTableModel, one may also inherit from QtGui.QStandardItemModel. I find this way is easier to support handleChanged event emiited from QTableView.

from PyQt5 import QtCore, QtGui

class PandasModel(QtGui.QStandardItemModel):
    def __init__(self, data, parent=None):
        QtGui.QStandardItemModel.__init__(self, parent)
        self._data = data
        for row in data.values.tolist():
            data_row = [ QtGui.QStandardItem("{0:.6f}".format(x)) for x in row ]
            self.appendRow(data_row)
        return

    def rowCount(self, parent=None):
        return len(self._data.values)

    def columnCount(self, parent=None):
        return self._data.columns.size

    def headerData(self, x, orientation, role):
        if orientation == QtCore.Qt.Horizontal and role == QtCore.Qt.DisplayRole:
            return self._data.columns[x]
        if orientation == QtCore.Qt.Vertical and role == QtCore.Qt.DisplayRole:
            return self._data.index[x]
        return None