# are reflected in the data table
self._data.iloc[index.row(),index.column()] = value
print(self._data)
print("data committed : " , self._data.values[index.row()][index.column()])
self.dataChanged.emit(index, index)
return True
return None
def updateData(self, new_dataframe):
# quick hack, not sure whether the dataChanged signal I am emitting
# is consistent with expectations
self._data=new_dataframe
self.dataChanged.emit(0,0)
for i in range(len(new_dataframe)):
self.dataChanged.emit(i,i)
def flags(self, index):
flags = super(self.__class__,self).flags(index)
flags |= Qt.ItemIsSelectable
flags |= Qt.ItemIsEnabled
return flags
if __name__ == '__main__':
app = QApplication(sys.argv)
model = pandasModel(df)
view = QTableView()
view.setModel(model)
view.resize(800, 600)
view.show()
sys.exit(app.exec_())
np.random.seed(1)
viewer = napari.Viewer()
blobs = data.binary_blobs(length=128, volume_fraction=0.1, n_dim=2)
labeled = ndi.label(blobs)[0]
# Measure some properties of the blobs and create a DataFrame
measurements = regionprops_table(label_image=labeled,
properties=('label', 'area',
'eccentricity', 'solidity'))
df = pd.DataFrame(measurements)
# Create a Qt TableView from the pandas table
model = pandasModel(
df[df.label == 1]) # dirty hack so we just have a one-row table
view = QTableView()
view.setModel(model)
view.resize(800, 200)
view.show()
text = QtWidgets.QLabel("")
text.show()
labels_layer = viewer.add_labels(labeled, name='blob ID')
@viewer.mouse_drag_callbacks.append
def get_ndisplay(viewer, event):
if 'Alt' in event.modifiers:
print('viewer display ', viewer.dims.ndisplay)
@labels_layer.mouse_move_callbacks.append
def move(layer, event):
#print(event.pos)
label_nr = layer.get_value()
subset = df[df["label"] == label_nr]
