dtoolkit.accessor.series.len

dtoolkit.accessor.series.len(s: Series, /, number: int = 1, other: int = None) → Series

Return the length of each element in the Series.

Equals to s.apply(len), but the length of number type will as 1, the length of other types will as NaN.

Parameters

numberint, default 1

The default length of number type.

otherint or None, default None

The default length of other type.

Returns

Series(int64)

See also

dtoolkit.accessor.index.len

Notes

• To keep the Python naming style, so use this accessor via Series.len rather than Series.lens.

• Different to pandas.Series.str.len(). It only returns collections.abc.Iterable type length. Other type will return NaN.

Examples

>>> import dtoolkit
>>> import pandas as pd
>>> s = pd.Series([0, 1, 1.5, "string", ("tuple",), ["list"], {}, object])
>>> s
0                   0
1                   1
2                 1.5
3              string
4            (tuple,)
5              [list]
6                  {}
7    <class 'object'>
dtype: object
>>> s.len()
0    1.0
1    1.0
2    1.0
3    6.0
4    1.0
5    1.0
6    0.0
7    NaN
dtype: float64

Set number and other default return.

>>> s.len(number=0, other=0)
0    0
1    0
2    0
3    6
4    1
5    1
6    0
7    0
dtype: int64