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

Slice rows in Table. The number of columns are conserved during the slice operation.

Ref. nodes:

Slice data Tables

Inputs:

port1 : table

Input Table

Outputs:

port2 : 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