pandas 1.4.2

ParametersReturnsBackRef
take(self, indices, axis=0, is_copy=None, **kwargs) -> 'Series'

This means that we are not indexing according to actual values in the index attribute of the object. We are indexing according to the actual position of the element in the object.

Parameters

indices : array-like

An array of ints indicating which positions to take.

axis : {0 or 'index', 1 or 'columns', None}, default 0

The axis on which to select elements. 0 means that we are selecting rows, 1 means that we are selecting columns.

is_copy : bool

Before pandas 1.0, is_copy=False can be specified to ensure that the return value is an actual copy. Starting with pandas 1.0, take always returns a copy, and the keyword is therefore deprecated.

deprecated
**kwargs :

For compatibility with numpy.take . Has no effect on the output.

Returns

taken : same type as caller

An array-like containing the elements taken from the object.

Return the elements in the given positional indices along an axis.

See Also

DataFrame.iloc

Select a subset of a DataFrame by positions.

DataFrame.loc

Select a subset of a DataFrame by labels.

numpy.take

Take elements from an array along an axis.

Examples

This example is valid syntax, but we were not able to check execution
>>> df = pd.DataFrame([('falcon', 'bird', 389.0),
...  ('parrot', 'bird', 24.0),
...  ('lion', 'mammal', 80.5),
...  ('monkey', 'mammal', np.nan)],
...  columns=['name', 'class', 'max_speed'],
...  index=[0, 2, 3, 1])
... df name class max_speed 0 falcon bird 389.0 2 parrot bird 24.0 3 lion mammal 80.5 1 monkey mammal NaN

Take elements at positions 0 and 3 along the axis 0 (default).

Note how the actual indices selected (0 and 1) do not correspond to our selected indices 0 and 3. That's because we are selecting the 0th and 3rd rows, not rows whose indices equal 0 and 3.

This example is valid syntax, but we were not able to check execution
>>> df.take([0, 3])
     name   class  max_speed
0  falcon    bird      389.0
1  monkey  mammal        NaN

Take elements at indices 1 and 2 along the axis 1 (column selection).

This example is valid syntax, but we were not able to check execution
>>> df.take([1, 2], axis=1)
    class  max_speed
0    bird      389.0
2    bird       24.0
3  mammal       80.5
1  mammal        NaN

We may take elements using negative integers for positive indices, starting from the end of the object, just like with Python lists.

This example is valid syntax, but we were not able to check execution
>>> df.take([-1, -2])
     name   class  max_speed
1  monkey  mammal        NaN
3    lion  mammal       80.5
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.series.Series._take_with_is_copy

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