Pandas Simple Example#

A Python application that demonstrates how to visualize a Pandas DataFrame.

Pandas Simple Screenshot

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# Copyright (C) 2022 The Qt Company Ltd.
# SPDX-License-Identifier: LicenseRef-Qt-Commercial OR BSD-3-Clause

import pandas as pd

from PySide6.QtWidgets import QTableView, QApplication
from PySide6.QtCore import QAbstractTableModel, Qt, QModelIndex
import sys

class PandasModel(QAbstractTableModel):
    """A model to interface a Qt view with pandas dataframe """

    def __init__(self, dataframe: pd.DataFrame, parent=None):
        QAbstractTableModel.__init__(self, parent)
        self._dataframe = dataframe

    def rowCount(self, parent=QModelIndex()) -> int:
        """ Override method from QAbstractTableModel

        Return row count of the pandas DataFrame
        if parent == QModelIndex():
            return len(self._dataframe)

        return 0

    def columnCount(self, parent=QModelIndex()) -> int:
        """Override method from QAbstractTableModel

        Return column count of the pandas DataFrame
        if parent == QModelIndex():
            return len(self._dataframe.columns)
        return 0

    def data(self, index: QModelIndex, role=Qt.ItemDataRole):
        """Override method from QAbstractTableModel

        Return data cell from the pandas DataFrame
        if not index.isValid():
            return None

        if role == Qt.DisplayRole:
            return str(self._dataframe.iloc[index.row(), index.column()])

        return None

    def headerData(
        self, section: int, orientation: Qt.Orientation, role: Qt.ItemDataRole
        """Override method from QAbstractTableModel

        Return dataframe index as vertical header data and columns as horizontal header data.
        if role == Qt.DisplayRole:
            if orientation == Qt.Horizontal:
                return str(self._dataframe.columns[section])

            if orientation == Qt.Vertical:
                return str(self._dataframe.index[section])

        return None

if __name__ == "__main__":

    app = QApplication(sys.argv)

    df = pd.read_csv("iris.csv")

    view = QTableView()
    view.resize(800, 500)

    model = PandasModel(df)