pyspark.pandas.Series.between

Series.between(left: Any, right: Any, inclusive: Union[bool, str] = 'both') → pyspark.pandas.series.Series

Return boolean Series equivalent to left <= series <= right. This function returns a boolean vector containing True wherever the corresponding Series element is between the boundary values left and right. NA values are treated as False.

Parameters

leftscalar or list-like

Left boundary.

rightscalar or list-like

Right boundary.

inclusive{“both”, “neither”, “left”, “right”} or boolean. “both” by default.

Include boundaries. Whether to set each bound as closed or open. Booleans are deprecated in favour of both or neither.

Returns

Series

Series representing whether each element is between left and right (inclusive).

See also

Series.gt

Greater than of series and other.

Series.lt

Less than of series and other.

Notes

This function is equivalent to (left <= ser) & (ser <= right)

Examples

>>> s = ps.Series([2, 0, 4, 8, np.nan])

Boundary values are included by default:

>>> s.between(0, 4)
0     True
1     True
2     True
3    False
4    False
dtype: bool

With inclusive set to “neither” boundary values are excluded:

>>> s.between(0, 4, inclusive="neither")
0     True
1    False
2    False
3    False
4    False
dtype: bool

With inclusive set to “right” only right boundary value is included:

>>> s.between(0, 4, inclusive="right")
0     True
1    False
2     True
3    False
4    False
dtype: bool

With inclusive set to “left” only left boundary value is included:

>>> s.between(0, 4, inclusive="left")
0     True
1     True
2    False
3    False
4    False
dtype: bool

left and right can be any scalar value:

>>> s = ps.Series(['Alice', 'Bob', 'Carol', 'Eve'])
>>> s.between('Anna', 'Daniel')
0    False
1     True
2     True
3    False
dtype: bool

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