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# Pandas Series | between method

Pandas
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Series
schedule Jul 1, 2022
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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 pd
s = pd.Series([1,2,3,4,5,6])
s.between(3,5)
0 False
1 False
2 True
3 True
4 True
5 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 False
1 False
2 False
3 True
4 False
5 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 False
1 False
2 True
3 False
4 True
5 False
NOTE

Note that np.NaN evaluates to False

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