Skip main navigation

Hands-on: Array creation

Explore creation of NumPy arrays
In this exercise we explore various ways of creating NumPy arrays

Source code for this exercise is located in numpy/array-creation/

  1. Start from a Python list containing both integers and floating point values, and construct then a NumPy array from the list.

  2. Generate a 1D NumPy array containing all numbers from -2.0 to 2.0 with a spacing of 0.2. Use optional start and step arguments of the np.arange() function.

  3. Generate another 1D NumPy array containing 11 equally spaced values between 0.5 and 1.5.

  4. Take some Python string and construct from it NumPy array consisting of single characters (a character array).

© CSC - IT Center for Science Ltd.
This article is from the free online

Python in High Performance Computing

Created by
FutureLearn - Learning For Life

Reach your personal and professional goals

Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.

Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.

Start Learning now