Now we have moved on to the most interesting thing! What is a **two-dimensional array**?

In the general case, two-dimensional arrays are called **matrices**: such mathematical structures that consist of **rows** and **columns**. If it will be easier for you, then you can represent the matrix as a table.

 Now is the time to practice with 2D arrays.
Let's take a look how to create a 2-D array which contain such two arrays as `5.2, 3.0, 4.5`, and `9.1, 0.1, 0.3`:

import numpy as np
# Creating array
arr = np.array([[5.2, 3.0, 4.5], [9.1, 0.1, 0.3]])
# Displaying array
print(arr)

Select all options with the INCORRECT code of creating 2-D arrays.

In this section we will get acquainted with what the NumPy library is, as well as learn how to create an array.

In this section we will get acquainted with arrays of different dimensions, and understand the difference between them.

In this section we should recall what slices are and learn how to make them for arrays of different dimensions. We shall also learn to refer to elements in an array using their indexes.

In this section we will learn how to reshape arrays and also how to concatenate an array. Moreover we will learn how to sort an array. Also we will learn about such an interesting method that is often used for arrays, namely: copy().

NumPy in a Nutshell

2-D Arrays

Select all options with the INCORRECT code of creating 2-D arrays.

Select a few correct answers