import sys
from qdarkstyle import load_stylesheet_pyqt5
from PyQt5.QtWidgets import QApplication, QTableView
from PyQt5.QtCore import QAbstractTableModel, Qt


class QtTable(QAbstractTableModel):
    def __init__(self, data):
        QAbstractTableModel.__init__(self)
        self._data = data

    def rowCount(self, parent=None):
        return self._data.shape[0]

    def columnCount(self, parent=None):
        return self._data.shape[1]

    def data(self, index, role=Qt.DisplayRole):
        if index.isValid():
            if role == Qt.DisplayRole:
                return str(self._data.iloc[index.row(), index.column()])
        return None

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


def render(df):
    app = QApplication(sys.argv)
    model = QtTable(df)
    view = QTableView()
    app.setStyleSheet(load_stylesheet_pyqt5())
    fnt = view.font()
    fnt.setPointSize(9)
    view.setFont(fnt)
    view.setModel(model)
    view.setWindowTitle('viewer')
    view.resize(1080, 400)
    view.show()
    sys.exit(app.exec_())

如果想用PyQt5来即时显示pandas Dataframe的数据,直接call render这个function即可。

render(df)

完成!

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