# NumPy array iterating | Comprehensive tutorials 9 | Better4Code

**What is NumPy array iterating:** Numpy is a popular Python library for scientific computing, and it’s widely used for working with arrays, matrices, and mathematical operations. One of the most important operations when working with arrays is iterating over them. In this article, we will be discussing the numpy array iterating and its importance in data analysis.

Iterating over a numpy array can be done using a loop or the built-in numpy functions. The most common way to iterate over a numpy array is to use a for loop. For example, if you have a 2D numpy array, you can iterate over it using the following code:

import numpy as np arr = np.array([[1, 2, 3], [4, 5, 6]]) for row in arr: for column in row: print(column)

The output of this code will be:

1 2 3 4 5 6

In addition to using a loop, numpy also provides built-in functions for iterating over arrays. One of the most commonly used functions is the nditer function. The nditer function allows you to iterate over a numpy array in a specific order or using a specific data type.

For example, you can iterate over a numpy array in a specific order using the following code:

import numpy as np arr = np.array([[1, 2, 3], [4, 5, 6]]) for i in np.nditer(arr, order='F'): print(i)

The output of this code will be:

1 4 2 5 3 6

As you can see, the nditer function iterates over the numpy array in column-major order instead of row-major order.

Numpy array iterating is important in data analysis because it allows you to access and manipulate each element in the array. For example, you can use iteration to perform operations on each element in the array, such as calculating the mean, median, or standard deviation. You can also use iteration to manipulate the array, such as sorting or filtering the data.

**In conclusion**, Numpy array iterating array is a critical concept in data analysis and scientific computing. It allows you to access and manipulate each element in the array, and perform a wide range of data analysis operations. Understanding how to iterate over numpy arrays is essential for performing advanced data analysis operations in Python.