Reputation: 2979
I would like to display a pandas data frame in a PyQt table. I have made some progress with this, but have not been able to correctly derive the Table Model class. Any help with this would be much appreciated.
** Note full example code here **
I am struggling to generate a valid QtCore.QAbstractTableModel derived class. Following on from a previous question about QItemDelegates I am trying to generate a table model from a Pandas DataFrame to insert real data. I have working example code here, but if I replace my TableModel with TableModel2 in the Widget class (ln 152) I cannot get the table to display.
class TableModel2(QtCore.QAbstractTableModel):
def __init__(self, parent=None, *args):
super(TableModel2, self).__init__()
#QtCore.QAbstractTableModel.__init__(self, parent, *args)
self.datatable = None
self.headerdata = None
self.dataFrame = None
self.model = QtGui.QStandardItemModel(self)
def update(self, dataIn):
print 'Updating Model'
self.datatable = dataIn
print 'Datatable : {0}'.format(self.datatable)
headers = dataIn.columns.values
header_items = [
str(field)
for field in headers
]
self.headerdata = header_items
print 'Headers'
print self.headerdata
for i in range(len(dataIn.index.values)):
for j in range(len(dataIn.columns.values)):
#self.datatable.setItem(i,j,QtGui.QTableWidgetItem(str(df.iget_value(i, j))))
self.model.setItem(i,j,QtGui.QStandardItem(str(dataIn.iget_value(i, j))))
def rowCount(self, parent=QtCore.QModelIndex()):
return len(self.datatable.index)
def columnCount(self, parent=QtCore.QModelIndex()):
return len(self.datatable.columns.values)
def data(self, index, role=QtCore.Qt.DisplayRole):
if not index.isValid():
return QtCore.QVariant()
elif role != QtCore.Qt.DisplayRole:
return QtCore.QVariant()
#return QtCore.QVariant(self.model.data(index))
return QtCore.QVariant(self.model.data(index))
def headerData(self, col, orientation, role):
if orientation == QtCore.Qt.Horizontal and role == QtCore.Qt.DisplayRole:
return QtCore.QVariant()
return QtCore.QVariant(self.headerdata[col])
def setData(self, index, value, role=QtCore.Qt.DisplayRole):
print "setData", index.row(), index.column(), value
def flags(self, index):
if (index.column() == 0):
return QtCore.Qt.ItemIsEditable | QtCore.Qt.ItemIsEnabled
else:
return QtCore.Qt.ItemIsEnabled
I am attempting to create the model and then add it to the view, like this:
class Widget(QtGui.QWidget):
"""
A simple test widget to contain and own the model and table.
"""
def __init__(self, parent=None):
QtGui.QWidget.__init__(self, parent)
l=QtGui.QVBoxLayout(self)
cdf = self.get_data_frame()
self._tm=TableModel(self)
self._tm.update(cdf)
self._tv=TableView(self)
self._tv.setModel(self._tm)
for row in range(0, self._tm.rowCount()):
self._tv.openPersistentEditor(self._tm.index(row, 0))
l.addWidget(self._tv)
def get_data_frame(self):
df = pd.DataFrame({'Name':['a','b','c','d'],
'First':[2.3,5.4,3.1,7.7], 'Last':[23.4,11.2,65.3,88.8], 'Class':[1,1,2,1], 'Valid':[True, True, True, False]})
return df
Thanks for your attention!
Note : Edit 2 I have incorporated the QStandardItemModel into TableModel2. Also deleted the dataFrameToQtTable function after @mata's comment. This is getting a bit closer but still not working.
Upvotes: 18
Views: 36400
Reputation: 4607
Here is a minimal QAbstractItemModel
implementation to show how it worked.
# Created by [email protected] at 2022/3/2
from __future__ import annotations
import typing
from PySide2 import QtWidgets, QtCore
class TreeNode(object):
columns: typing.Sequence[str]
children: typing.Sequence[TreeNode]
parent: typing.Union[None, TreeNode]
def __init__(self, columns, children) -> None:
self.columns = columns
self.children = children
self.parent = None
for child in self.children:
child.parent = self
def row(self):
return -1 if self.parent is None else self.parent.children.index(self)
class TreeModel(QtCore.QAbstractItemModel):
def __init__(self, parent: typing.Optional[QtCore.QObject] = None) -> None:
super().__init__(parent)
self._rootNode = TreeNode(columns=["Name", "Description"], children=[
TreeNode(columns=["Animal", "The Animal"], children=[
TreeNode(columns=["Ant", "The Ant"], children=[]),
TreeNode(columns=["Bee", "The Bee"], children=[]),
TreeNode(columns=["Cat", "The Cat"], children=[]),
]),
TreeNode(columns=["Plant", "The Plant"], children=[
TreeNode(columns=["Apple", "The Apple"], children=[]),
TreeNode(columns=["Banana", "The Banana"], children=[]),
]),
])
def _indexToNode(self, index: QtCore.QModelIndex):
return index.internalPointer() if index.isValid() else self._rootNode
def index(self, row: int, column: int, parent: QtCore.QModelIndex = ...) -> QtCore.QModelIndex:
return self.createIndex(row, column, self._indexToNode(parent).children[row])
def parent(self, child: QtCore.QModelIndex) -> QtCore.QModelIndex:
parent = self._indexToNode(child).parent
return QtCore.QModelIndex() if parent is None else self.createIndex(parent.row(), 0, parent)
def rowCount(self, parent: QtCore.QModelIndex = ...) -> int:
return len(self._indexToNode(parent).children)
def columnCount(self, parent: QtCore.QModelIndex = ...) -> int:
return len(self._indexToNode(parent).columns)
def data(self, index: QtCore.QModelIndex, role: int = ...) -> typing.Any:
if role == QtCore.Qt.ItemDataRole.DisplayRole:
return self._indexToNode(index).columns[index.column()]
def headerData(self, section: int, orientation: QtCore.Qt.Orientation, role: int = ...) -> typing.Any:
if orientation == QtCore.Qt.Horizontal and role == QtCore.Qt.DisplayRole:
return self._rootNode.columns[section]
app = QtWidgets.QApplication()
treeView = QtWidgets.QTreeView()
treeView.setModel(TreeModel())
treeView.show()
app.exec_()
Upvotes: 0
Reputation: 2027
Pandas 0.13 provides as an experimental feature:
PySide support for the qtpandas DataFrameModel
and DataFrameWidget
see https://github.com/pydata/pandas/blob/master/doc/source/faq.rst
you can add this feature using
from pandas.sandbox.qtpandas import DataFrameModel, DataFrameWidget
Upvotes: 1
Reputation: 2979
Ok I have figured this one out with the above suggestion and some help from the Rapid GUI book by Summerfield. There is no underlying model that exists in the QAbstractTableModel. Only three functions need be overridden, and the data may be stored in any user defined format, as long as it is returned in the data call.
A very simple implementation could be:
class TableModel(QtCore.QAbstractTableModel):
def __init__(self, parent=None, *args):
super(TableModel, self).__init__()
self.datatable = None
def update(self, dataIn):
print 'Updating Model'
self.datatable = dataIn
print 'Datatable : {0}'.format(self.datatable)
def rowCount(self, parent=QtCore.QModelIndex()):
return len(self.datatable.index)
def columnCount(self, parent=QtCore.QModelIndex()):
return len(self.datatable.columns.values)
def data(self, index, role=QtCore.Qt.DisplayRole):
if role == QtCore.Qt.DisplayRole:
i = index.row()
j = index.column()
return '{0}'.format(self.datatable.iget_value(i, j))
else:
return QtCore.QVariant()
def flags(self, index):
return QtCore.Qt.ItemIsEnabled
This enables you to view any compatable data frame in a Qt view.
I have updated the Gist over here
This should get you going quickly if you also need to do this.
Upvotes: 19
Reputation: 69012
This is probably your problem:
def rowCount(self, parent=QtCore.QModelIndex()):
if type(self.datatable) == pd.DataFrame:
...
def columnCount(self, parent=QtCore.QModelIndex()):
if (self.datatable) == pd.DataFrame:
...
You set your datatable
to a QTableWidget
in dataFrameToQtTable
, so it can't be a pd.DataFrame
, your methods will always return 0.
Without the type check, you would have caught the problem immediately. Do you really want to silently ignore all cases where your type doesn't match (better let it raise an error if it doesn't follow the same interface you're expecting)? Typechecks are in most cases unnecessary.
Upvotes: 2