In the Model-Views course, we covered Displaying Tabular Data in Qt ModelViews. This takes a data source, such as a list of lists, a NumPy array, or a Pandas DataFrame
, and displays it in a QTableView
. But often, displaying is just the first step—you also want your users to be able to add and edit the table, updating the underlying data object.
Reader Vic T asked:
I have been trying for a few days to get edit mode to work with a
QTableView
using Pandas for the model viaQAbstractTableModel
. Having searched all over the internet although, I found suggestions to implement theflags()
method, but it doesn't seem to work.
This is correct. You need to implement the flags()
method on your model to inform Qt that your model supports editing. To do this, your method needs to return the Qt.ItemFlag.ItemIsEditable
flag, which you or together (using the pipe |
character) with the other flags.
For example:
def flags(self, index):
return (
Qt.ItemFlag.ItemIsSelectable
| Qt.ItemFlag.ItemIsEnabled
| Qt.ItemFlag.ItemIsEditable
)
However, to get the editing working, you also need to implement a setData()
method. This method is the model's interface between Qt and your data object. It takes care of making the changes to the data.
Remember, Qt views don't know anything about your data beyond what you tell them via the model. Likewise, they also don't know how to update your list, NumPy array, or DataFrame
objects with the new data that has been provided. You need to handle that yourself!
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Developers in [[ country ]] get [[ discount.discount_pc ]]% OFF on all books & courses with code [[ discount.coupon_code ]]Below are some example setData()
methods for lists of lists, NumPy, and Pandas. The only difference is how we index into the data object:
- List
- Pandas
- NumPy
def setData(self, index, value, role):
if role == Qt.ItemDataRole.EditRole:
self._data[index.row()][index.column()] = value
return True
def setData(self, index, value, role):
if role == Qt.ItemDataRole.EditRole:
self._data.iloc[index.row(),index.column()] = value
return True
def setData(self, index, value, role):
if role == Qt.ItemDataRole.EditRole:
self._data[index.row(), index.column()] = value
return True
Notice that we first need to check whether the role
is Qt.ItemDataRole.EditRole
to determine if an edit is currently being made. After making the edit, we return True
to confirm this.
If you try the above on your model, you should be able to edit the values. However, you'll notice that when editing, it clears the current value of the cell -- you have to start from an empty cell. To display the current value when editing, you need to modify the data()
method to return the current value when the role is Qt.ItemDataRole.EditRole
as well as when it is Qt.ItemDataRole.DisplayRole
.
For example:
- List
- Pandas
- NumPy
def data(self, index, role=Qt.ItemDataRole.DisplayRole):
if index.isValid():
if role == Qt.ItemDataRole.DisplayRole or role == Qt.ItemDataRole.EditRole:
value = self._data[index.row()][index.column()]
return str(value)
def data(self, index, role=Qt.ItemDataRole.DisplayRole):
if index.isValid():
if role == Qt.ItemDataRole.DisplayRole or role == Qt.ItemDataRole.EditRole:
value = self._data.iloc[index.row(), index.column()]
return str(value)
def data(self, index, role=Qt.ItemDataRole.DisplayRole):
if index.isValid():
if role == Qt.ItemDataRole.DisplayRole or role == Qt.ItemDataRole.EditRole:
value = self._data[index.row(), index.column()]
return str(value)
That's it, you should now have a properly editable table view.
Create GUI Applications with Python & Qt6 by Martin Fitzpatrick — (PySide6 Edition) The hands-on guide to making apps with Python — Over 15,000 copies sold!
Below are some complete working examples for list, NumPy, and Pandas, with PySide6.
List of Lists
The following examples use a nested list of lists as a data source:
from PySide6.QtCore import QAbstractTableModel, Qt
from PySide6.QtWidgets import QApplication, QMainWindow, QTableView
class ListModel(QAbstractTableModel):
def __init__(self, data):
super().__init__()
self._data = data
def rowCount(self, index):
return len(self._data)
def columnCount(self, index):
# The following takes the first sub-list, and returns
# the length (only works if all rows are an equal length)
return len(self._data[0])
def data(self, index, role=Qt.ItemDataRole.DisplayRole):
if index.isValid():
if role == Qt.ItemDataRole.DisplayRole or role == Qt.ItemDataRole.EditRole:
value = self._data[index.row()][index.column()]
return str(value)
def setData(self, index, value, role):
if role == Qt.ItemDataRole.EditRole:
self._data[index.row()][index.column()] = value
return True
return False
def flags(self, index):
return (
Qt.ItemFlag.ItemIsSelectable
| Qt.ItemFlag.ItemIsEnabled
| Qt.ItemFlag.ItemIsEditable
)
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.table = QTableView()
data = [
[1, 9, 2],
[1, 0, -1],
[3, 5, 2],
[3, 3, 2],
[5, 8, 9],
]
self.model = ListModel(data)
self.table.setModel(self.model)
self.setCentralWidget(self.table)
app = QApplication([])
window = MainWindow()
window.show()
app.exec_()
Pandas DataFrame
The following examples use a Pandas DataFrame
, adding column headings from the column names:
import pandas as pd
from PySide6.QtCore import QAbstractTableModel, Qt
from PySide6.QtWidgets import QApplication, QMainWindow, QTableView
class PandasModel(QAbstractTableModel):
def __init__(self, data):
super().__init__()
self._data = data
def rowCount(self, index):
return self._data.shape[0]
def columnCount(self, parent=None):
return self._data.shape[1]
def data(self, index, role=Qt.ItemDataRole.DisplayRole):
if index.isValid():
if role == Qt.ItemDataRole.DisplayRole or role == Qt.ItemDataRole.EditRole:
value = self._data.iloc[index.row(), index.column()]
return str(value)
def setData(self, index, value, role):
if role == Qt.ItemDataRole.EditRole:
self._data.iloc[index.row(), index.column()] = value
return True
return False
def headerData(self, col, orientation, role):
if (
orientation == Qt.Orientation.Horizontal
and role == Qt.ItemDataRole.DisplayRole
):
return self._data.columns[col]
def flags(self, index):
return (
Qt.ItemFlag.ItemIsSelectable
| Qt.ItemFlag.ItemIsEnabled
| Qt.ItemFlag.ItemIsEditable
)
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.table = QTableView()
data = pd.DataFrame(
[
[1, 9, 2],
[1, 0, -1],
[3, 5, 2],
[3, 3, 2],
[5, 8, 9],
],
columns=["A", "B", "C"],
)
self.model = PandasModel(data)
self.table.setModel(self.model)
self.setCentralWidget(self.table)
app = QApplication([])
window = MainWindow()
window.show()
app.exec_()
NumPy Array
The following examples use a NumPy array for their data source. The array will only accept valid values (in this case, integers) when setting, so we must first coerce the value to an integer before setting it on the error. If you enter something which isn't a valid integer (e.g. jdskfjdskjfndsf ), the int()
call will throw a ValueError
, which we catch. By returning False
when this exception is thrown, we cancel the edit:
import numpy as np
from PySide6.QtCore import QAbstractTableModel, Qt
from PySide6.QtWidgets import QApplication, QMainWindow, QTableView
class NumPyModel(QAbstractTableModel):
def __init__(self, data):
super().__init__()
self._data = data
def rowCount(self, index):
return self._data.shape[0]
def columnCount(self, index):
return self._data.shape[1]
def data(self, index, role=Qt.ItemDataRole.DisplayRole):
if index.isValid():
if role == Qt.ItemDataRole.DisplayRole or role == Qt.ItemDataRole.EditRole:
value = self._data[index.row(), index.column()]
return str(value)
def setData(self, index, value, role):
if role == Qt.ItemDataRole.EditRole:
try:
value = int(value)
except ValueError:
return False
self._data[index.row(), index.column()] = value
return True
return False
def flags(self, index):
return (
Qt.ItemFlag.ItemIsSelectable
| Qt.ItemFlag.ItemIsEnabled
| Qt.ItemFlag.ItemIsEditable
)
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.table = QTableView()
data = np.array(
[
[1, 9, 2],
[1, 0, -1],
[3, 5, 2],
[3, 3, 2],
[5, 8, 9],
]
)
self.model = NumPyModel(data)
self.table.setModel(self.model)
self.setCentralWidget(self.table)
app = QApplication([])
window = MainWindow()
window.show()
app.exec()
That's all for now!
Create GUI Applications with Python & Qt6 by Martin Fitzpatrick — (PyQt6 Edition) The hands-on guide to making apps with Python — Over 15,000 copies sold!