Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Basic Statistical Operations | Getting into NumPy Basics
Getting into NumPy Basics
course content

Course Content

Getting into NumPy Basics

Getting into NumPy Basics

IntroductionCreating NumPy ArraysManipulating and IndexingBasic Statistical OperationsLinear Algebra OperationsReshaping and StackingSaving and Loading Arrays to/from Files

bookBasic Statistical Operations

NumPy offers a suite of functions for executing basic statistical operations on NumPy arrays, making it indispensable for data analysis. Key functions include:

  • mean(): Computes the mean (average) of array elements;
  • median(): Determines the median (middle value) of array elements;
  • std(): Calculates the standard deviation, measuring the spread of the array elements;
  • var(): Assesses the variance, indicating the variability of array elements;
  • min(): Identifies the minimum value within an array;
  • max(): Locates the maximum value within an array;
  • argmin(): Finds the index of the minimum value in an array;
  • argmax(): Discovers the index of the maximum value in an array.

Task

  1. Create an array filled with 10 random values.
  2. Compute the mean of the array.
  3. Determine the median of the array.
  4. Calculate the standard deviation of the array.
  5. Assess the variance of the array.

Mark tasks as Completed
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

NumPy offers a suite of functions for executing basic statistical operations on NumPy arrays, making it indispensable for data analysis. Key functions include:

  • mean(): Computes the mean (average) of array elements;
  • median(): Determines the median (middle value) of array elements;
  • std(): Calculates the standard deviation, measuring the spread of the array elements;
  • var(): Assesses the variance, indicating the variability of array elements;
  • min(): Identifies the minimum value within an array;
  • max(): Locates the maximum value within an array;
  • argmin(): Finds the index of the minimum value in an array;
  • argmax(): Discovers the index of the maximum value in an array.

Task

  1. Create an array filled with 10 random values.
  2. Compute the mean of the array.
  3. Determine the median of the array.
  4. Calculate the standard deviation of the array.
  5. Assess the variance of the array.

Mark tasks as Completed
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 4
AVAILABLE TO ULTIMATE ONLY
some-alt