all

skrub.selectors.all()

Select all columns in a dataframe.

See also

inv

Invert a selector

cols

Select columns by exact name

Examples

>>> from skrub import selectors as s
>>> import pandas as pd
>>> df = pd.DataFrame(
...     {
...         "height_mm": [297.0, 420.0],
...         "width_mm": [210.0, 297.0],
...         "kind": ["A4", "A3"],
...         "ID": [4, 3],
...     }
... )
>>> df
   height_mm  width_mm kind  ID
0      297.0     210.0   A4   4
1      420.0     297.0   A3   3

Select all columns:

>>> s.select(df, s.all())
   height_mm  width_mm kind  ID
0      297.0     210.0   A4   4
1      420.0     297.0   A3   3

Use all() as a base for excluding columns, for example by name:

>>> s.select(df, s.all() - 'ID')
   height_mm  width_mm kind
0      297.0     210.0   A4
1      420.0     297.0   A3