Slice data Tables¶
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.SliceDataTables[source]¶ Slice rows in Tables - all Tables are sliced in the same way. The number of columns are conserved during the slice operation.
Ref. nodes: Inputs: - port1 : [table]
Input Tables
Outputs: - port2 : [table]
Sliced output Tables
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
- group_index
(no description)