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We do not want to contaminate a users layer with additional features that may conflict with existing features.
Instead, store these calculated values directly in our pandas dataframe (e.g. our tableview model).
We will still grab all pre-existing layer.features and add them to our table. We just won't add any new ones to the layer itself.
layer.features
Users can still get copies of these calculated columns with copy table.
copy table
For example, see:
_my_layer.pointsLayer._updateFeatures()
_my_layer.shapesLayer._updateFeatures()
In the above, we assign to the layer.features. This is where we need to store this calculated value internally in _my_layer or the pandas data model?
_my_layer
This is what we need to get rid of:
self._layer.features.loc[selectedList, 'x'] = self._layer.data[selectedList,2]
The text was updated successfully, but these errors were encountered:
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We do not want to contaminate a users layer with additional features that may conflict with existing features.
Instead, store these calculated values directly in our pandas dataframe (e.g. our tableview model).
We will still grab all pre-existing
layer.features
and add them to our table. We just won't add any new ones to the layer itself.Users can still get copies of these calculated columns with
copy table
.For example, see:
_my_layer.pointsLayer._updateFeatures()
_my_layer.shapesLayer._updateFeatures()
In the above, we assign to the
layer.features
. This is where we need to store this calculated value internally in_my_layer
or the pandas data model?This is what we need to get rid of:
The text was updated successfully, but these errors were encountered: