Hands-on: Array creation

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. Extract every second element of the array.

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

Share this article:

This article is from the free online course:

Python in High Performance Computing

Partnership for Advanced Computing in Europe (PRACE)