The Numpy library in Python comes with a number of useful methods and techniques to work with and manipulate data in arrays. In this tutorial, we will look at how to get the first N columns of a two-dimensional Numpy Array with the help of some examples.

## How to get the first n columns of a 2D Numpy array?

You can use slicing to get the first N columns of a 2D array in Numpy. Here, we use column indices to specify the range of columns that we’d like to slice. To get the first n columns, use the following slicing syntax –

# first n columns of numpy array ar[:, :n]

It returns the first n columns (including all the rows) of the given array.

## Steps to get the first n columns of 2D array

Let’s now look at a step-by-step example of using the above syntax on a 2D Numpy array.

### Step 1 – Create a 2D Numpy array

First, we will create a 2D Numpy array that we’ll operate on.

import numpy as np # create a 2D array ar = np.array([ ['Tim', 181, 86], ['Peter', 170, 68], ['Isha', 158, 59], ['Rohan', 168, 81], ['Yuri', 171, 65], ['Emma', 166, 64], ['Michael', 175, 78], ['Jim', 190, 87], ['Pam', 168, 57], ['Dwight', 187, 84] ]) # display the array print(ar)

Output:

[['Tim' '181' '86'] ['Peter' '170' '68'] ['Isha' '158' '59'] ['Rohan' '168' '81'] ['Yuri' '171' '65'] ['Emma' '166' '64'] ['Michael' '175' '78'] ['Jim' '190' '87'] ['Pam' '168' '57'] ['Dwight' '187' '84']]

Here, we used the `numpy.array()`

function to create a 2D Numpy array with 10 rows and 3 columns. The array contains information on the height (in cm) and weight (in kg) of some employees in an office.

### Step 2 – Slice the array to get the first n columns

To get the first n columns of the above array, slice the array starting from the first column (0th index) up to (but not including) the column with the nth index.

For example, let’s get the first 2 columns from the array that we created in step 1.

# first 2 columns print(ar[:, 0:2])

Output:

[['Tim' '181'] ['Peter' '170'] ['Isha' '158'] ['Rohan' '168'] ['Yuri' '171'] ['Emma' '166'] ['Michael' '175'] ['Jim' '190'] ['Pam' '168'] ['Dwight' '187']]

We get the first 2 columns of the 2D array.

In the above code, you don’t need to explicitly specify 0 (since you’re slicing starting from the very first column of the array).

# first 2 columns print(ar[:, :2])

Output:

[['Tim' '181'] ['Peter' '170'] ['Isha' '158'] ['Rohan' '168'] ['Yuri' '171'] ['Emma' '166'] ['Michael' '175'] ['Jim' '190'] ['Pam' '168'] ['Dwight' '187']]

We get the same result as above.

For more on slicing Numpy arrays, refer to its documentation.

## Summary

In this tutorial, we looked at how to get the first n columns of a two-dimensional Numpy array using slicing. The following is a short summary of the steps mentioned in the tutorial.

- Create a 2D Numpy array (skip this step if you already have an array to operate on).
- Slice the array from the column with index 0 to the column with index n (but not including it) to get the first n columns of the array.

You might also be interested in –

- Numpy – Get Max Value in Array
- Get the Median of Numpy Array – (With Examples)
- Pandas – Select first n rows of a DataFrame

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