# How to extract a particular column from 1D array of tuples?

• Difficulty Level : Basic
• Last Updated : 28 Feb, 2023

In this article, we will cover how to extract a particular column from a 1-D array of tuples in python.

Example

Input:  [(18.18,2.27,3.23),(36.43,34.24,6.6),(5.25,6.16,7.7),(7.37,28.8,8.9)]

Output: [3.23, 6.6 , 7.7 , 8.9 ]

Explanation: Extracting the 3rd column from 1D array of tuples.

## Method 1: Using Slice

As a first step let us first define a 1D array of tuples with each tuple having 3 elements, if we consider these 3 elements as 3 columns, we can use the slicing technique to extract a particular column.

## Python3

 `import` `numpy as np` `# define a 1d array of tuples``arr ``=` `np.array([(``18.18``, ``2.27``, ``3.23``), (``36.43``, ``34.24``, ``6.6``),``                ``(``5.25``, ``6.16``, ``7.7``), (``7.37``, ``28.8``, ``8.9``)])` `# slice the array by passing the``# column number``arr[:, ``2``]`

Output:

`array([3.23, 6.6 , 7.7 , 8.9 ])`

## Method 2: Using the lambda function

In this example, we are taking a pandas data frame and one of the columns is an array of tuples, we can slice that particular column and apply a lambda function to extract a particular column from the tuple of an array.

## Python3

 `import` `numpy as np``import` `pandas as pd` `data ``=` `pd.DataFrame({``'approval'``: [``10``, ``20``, ``30``, ``40``, ``50``],``                     ``'temperature'``: [(``18.18``, ``2.27``, ``3.23``),``                                     ``(``36.43``, ``34.24``, ``6.6``),``                                     ``(``5.25``, ``6.16``, ``7.7``),``                                     ``(``7.37``, ``28.8``, ``8.9``),``                                     ``(``12``, ``23``, ``3``)]})` `res ``=` `data[``'temperature'``].``apply``(``lambda` `x: x[``2``]).values` `print``(data)``print``(res)`

Output:

```   approval          temperature
0        10  (18.18, 2.27, 3.23)
1        20  (36.43, 34.24, 6.6)
2        30    (5.25, 6.16, 7.7)
3        40    (7.37, 28.8, 8.9)
4        50          (12, 23, 3

The output for extracting 3rd column from the array of tuples
[3.23 6.6  7.7  8.9  3.  ]```

## Method 3: Using list comprehension

A list comprehension can be used to extract a particular element from each tuple in the list and create a new list with the extracted elements.

In this example, we have the following list of tuples, we can use a list comprehension to extract the second element from each tuple (index 1) as follows:

## Python3

 `data ``=` `[(``'Alice'``, ``25``, ``'NYC'``), (``'Bob'``, ``30``, ``'Chicago'``), (``'Eve'``, ``35``, ``'SF'``)]``ages ``=` `[age ``for` `name, age, city ``in` `data]``print``(ages)`

Time Complexity: O(n)

Space Complexity: O(1)

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