Slice data Table¶
Slice rows in Table. The number of columns are conserved during the slice operation.
Ref. nodes: | Slice data Tables |
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Ports:
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
- Specify the maximum number of rows in the preview 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']