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Saving and Loading Arrays to/from Files | Getting into NumPy Basics
Getting into NumPy Basics
course content

Course Content

Getting into NumPy Basics

bookSaving and Loading Arrays to/from Files

NumPy offers a variety of functions for saving and loading numPy arrays to and from files, such as:

  • save(): Saves an array to a binary file in NumPy's .npy format;
  • savez(): Saves multiple arrays to a single compressed .npz file;
  • savetxt(): Saves an array to a text file;
  • load(): Loads an array from a binary file in NumPy's .npy format;
  • loadtxt(): Loads an array from a text file.
Task
test

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  1. Save the newly created array in NumPy's .npy format.
  2. Save the array to a text file.
  3. Load back in the array.

Congratulations!

Congratulations on completing this NumPy tutorial! You have gained substantial knowledge about handling arrays and matrices in Python, laying down a strong foundation for utilizing NumPy in your data processing and analysis endeavors.

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NumPy offers a variety of functions for saving and loading numPy arrays to and from files, such as:

  • save(): Saves an array to a binary file in NumPy's .npy format;
  • savez(): Saves multiple arrays to a single compressed .npz file;
  • savetxt(): Saves an array to a text file;
  • load(): Loads an array from a binary file in NumPy's .npy format;
  • loadtxt(): Loads an array from a text file.
Task
test

Swipe to show code editor

  1. Save the newly created array in NumPy's .npy format.
  2. Save the array to a text file.
  3. Load back in the array.

Congratulations!

Congratulations on completing this NumPy tutorial! You have gained substantial knowledge about handling arrays and matrices in Python, laying down a strong foundation for utilizing NumPy in your data processing and analysis endeavors.

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 7
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