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Pandas Series | between method

schedule Aug 12, 2023
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Pandas `Series.between(~)` method returns a vector of booleans indicating whether each element in the Series is within the provided range. `NaN` values are considered as `False`.

Parameters

1. `left` | `scalar`

The lower boundary.

2. `right` | `scalar`

The upper boundary.

3. `inclusive` | `string` | `optional`

Specifies whether `left` and `right` bounds should be inclusive. Defaults to `"both"`. Other options include, `"neither"`, `"left"`, `"right"`.

Return value

A new Series of boolean indicating whether each element lies between the `left` and `right` bounds.

Examples

Basic usage

To check if elements in the Series lie between `3` and `5` (both ends inclusive):

``` import pandas as pds = pd.Series([1,2,3,4,5,6])s.between(3,5) 0 False1 False2 True3 True4 True5 False ```

inclusive

To check if elements in the Series lie between `3` and `5` (both ends exclusive):

``` s = pd.Series([1,2,3,4,5,6])s.between(3, 5, inclusive="neither") 0 False1 False2 False3 True4 False5 False ```
NOTE

Note how `3` and `5` now return `False` as we are excluding the left and right bounds using `inclusive="neither"`.

NaN

To check if elements in the Series lie between `3` and `5` (both ends inclusive):

``` s = pd.Series([1,2,3,np.NaN,5,6])s.between(3,5) 0 False1 False2 True3 False4 True5 False ```
NOTE

Note that `np.NaN` evaluates to `False`

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