Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.2-D Arrays | Dimensions in Arrays
NumPy in a Nutshell
course content

Course Content

NumPy in a Nutshell

NumPy in a Nutshell

1. Getting Started with NumPy
What is NumPy?Function array()Basic Array Creation Quiz
2. Dimensions in Arrays
1-D ArraysMathematical Operations with 1-D Arrays2-D Arrays3-D ArraysMultidimensional Arrays Quiz
3. Indexing and Slicing
Access Array ElementsMatch Math Operations Access 2-D and 3-D ArraysMatch the Slicing Negative IndexingMatch the IndicesGet One Dimensional Array Using Slice and Only Positive Indexes Get One Dimensional Array Using Only Negative Indexes
4. Important Functions
ReshapingFlatteningJoining Sorting ArraysCopying Arrays

book2-D Arrays

Now, we've delved into the most intriguing aspect: What is a two-dimensional array?

In general, two-dimensional arrays are called matrices—mathematical structures consisting of rows and columns. If it makes it easier to understand, you can visualize a matrix as a table.

Now, it's time to practice with 2D arrays. Let's explore how to create a 2-D array containing two arrays: 5.2, 3.0, 4.5 and 9.1, 0.1, 0.3:


              
12345

            
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)
copy
Select all options with the INCORRECT code for creating 2-D arrays.

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

Select a few correct answers

Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 2. Chapter 3
some-alt