BackGroundColor for row in QTableView

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zadstofun | 2021-03-11 10:32:22 UTC | #1

Hello,

I'm trying to generate a TableView from a list of dict my data sample is like this

python
data = [{'IP': '192.168.1.10', 'PRESENT_STATUS': 'NewConnection'},
        {'IP': '192.168.1.108', 'FORMER_STATUS': 'NewConnection, 'PRESENT_STATUS': 'Registered'}]

My understanding of the below code is that data method gets all possible roles one after the other for each index.row() and index.col().

This means that when role == Qt.BackgroundRole and the color for the present status is defined self._base_color dict, the column gets painted.

I know that my code below should paint the entire row albeit doing it column wise.

python
class TableModel(QAbstractTableModel):

    def __init__(self, data: Union[list, dict] = None):
        super(TableModel, self).__init__()
        self.data = data or []
        self._hdr = self.gen_hdr_data() if data else []
        self._base_color = {'NewConnection': 'blue', }

    def gen_hdr_data(self):
        self._hdr = sorted(list(set().union(*(d.keys() for d in self.data))))
        return self._hdr

    def data(self, index: QModelIndex, role: int):
         _state = self.data[index.row()]['PRESENT_STATUS']
        if role == Qt.DisplayRole:
            try:
                col = self._hdr[index.column()]
                value = self.data[index.row()][col]
            except KeyError:
                value = None
            return str(value) if value else ""

        if role == Qt.BackgroundRole and self._base_color.get(_state, False):
            return QColor(self._base_color[_state])

My question is goes as such:

Create GUI Applications with Python & Qt5 by Martin Fitzpatrick — (PyQt5 Edition) The hands-on guide to making apps with Python — Over 10,000 copies sold!

More info Get the book

Is it possible to perform a row background paint rather than a column wise action?


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BackGroundColor for row in QTableView was written by Martin Fitzpatrick .

Martin Fitzpatrick has been developing Python/Qt apps for 8 years. Building desktop applications to make data-analysis tools more user-friendly, Python was the obvious choice. Starting with Tk, later moving to wxWidgets and finally adopting PyQt.