Slice data Table¶
Slice the rows in Tables or elements in lists of Tables or ADAFs.
The slice pattern is expressed with standard Python syntax, [start:stop:step]. See example below to get a clear view how it works for a list.
>>> li = ['elem0', 'elem1', 'elem2', 'elem3', 'elem4']
>>> li[1:3]
['elem1', 'elem2']
>>> li[1:-1]
['elem1', 'elem2', 'elem3']
>>> li[0:3]
['elem0', 'elem1', 'elem2']
>>> li[:3]
['elem0', 'elem1', 'elem2']
>>> li[3:]
['elem3', 'elem4']
>>> li[:]
['elem0', 'elem1', 'elem2', 'elem3', 'elem4']
>>> li[::2]
['elem0', 'elem2', 'elem4']
>>> li[:4:2]
['elem0', 'elem2']
>>> li[1::2]
['elem1', 'elem3']
-
class
node_slice.SliceDataTable[source]¶ Slice rows in Table.
Inputs: - InTable : Table
Table with data.
Outputs: - OutTable : Table
Table consisting of the rows that been sliced out from the incoming Table according to the defined pattern. The number of columns are conserved during the slice operation.
Configuration: - Slice
Use standard Python syntax to define pattern for slice operation, [start:stop:step].
- Limit preview to
Specify the maximum number of rows in the preview table.
- Preview : Button
Push to visualise the effect of the defined slice.
Opposite node: Ref. nodes: