Normally distributed data is shaped sort of like a bell, so it’s often called the “bell curve.” Hopefully you’re familiar with normally distributed data, but just as a refresher, here’s what it looks like when we plot it in a histogram: The NumPy random normal function enables you to create a NumPy array that contains normally distributed data. In most cases, NumPy’s tools enable you to do one of two things: create numerical data (structured as a NumPy array), or perform some calculation on a NumPy array. Where does np.random.normal fit in?Īs I mentioned previously, NumPy has a variety of tools for working with numerical data. So NumPy is a package for working with numerical data. NumPy random normal generates normally distributed numbers It also enables you to perform various computations and manipulations on NumPy arrays.Įssentially, NumPy is a package for working with numeric data in Python.įor more details about NumPy, check out our tutorial about the NumPy array. It enables you to collect numeric data into a data structure, called the NumPy array.

Specifically, NumPy performs data manipulation on numerical data. NumPy is a module for the Python programming language that’s used for data science and scientific computing. With that in mind, let’s briefly review what NumPy is. If you’re a real beginner with NumPy, you might not entirely be familiar with it. Examples of how to use numpy random normal.The following links link to specific parts of this tutorial: However, if you just need some help with something specific, you can skip ahead to the appropriate section. If you’re a little unfamiliar with NumPy, I suggest that you read the whole tutorial. This tutorial will show you how the function works, and will show you how to use the function. The NumPy random normal function generates a sample of numbers drawn from the normal distribution, otherwise called the Gaussian distribution. And in particular, you’ll often need to work with normally distributed numbers. If you’re doing any sort of statistics or data science in Python, you’ll often need to work with random numbers. This tutorial will cover the NumPy random normal function (AKA, np.random.normal).

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