Slice data Table¶
Slice rows in Table. The number of columns are conserved during the slice operation.
| Ref. nodes: | Slice data Tables |
|---|
- Input ports:
port1: table
Input Table
- Output ports:
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 (slice)
- Use standard Python syntax to define pattern for slice operation, [start:stop:step]
- Limit preview to (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']
