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Getting into NumPy Basics
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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

bookReshaping and Stacking

Reshaping and stacking NumPy arrays involve modifying the shape or size of an array or amalgamating multiple arrays into a single array. NumPy offers a variety of functions for these purposes, such as:

  • reshape(): Alters an array to a new shape without changing its data;
  • resize(): Changes an array's size to a new shape, which can lead to the addition or removal of elements;
  • vstack(): Vertically stacks arrays (row-wise) to form a single array;
  • hstack(): Horizontally stacks arrays (column-wise) to create a single array;
  • concatenate(): Joins arrays along a specified axis;
  • stack(): Layers arrays along a new axis, adding a dimension.
Task

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  1. Reshape the arr array to a new configuration.
  2. Resize the arr array to a new dimension, possibly adding or omitting elements.
  3. Vertically stack all the arrays to produce a unified array (in the order of creation).
  4. Horizontally stack all the arrays to form a single array (in the order of creation).

Solution

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SectionΒ 1. ChapterΒ 6
AVAILABLE TO ULTIMATE ONLY
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