Course Content
Numpy Unveiled: Exploring the Powerhouse of Python
Numpy Unveiled: Exploring the Powerhouse of Python
Reshaping and Stacking NumPy Arrays
Reshaping and stacking numPy
arrays refers to changing the shape or size of an array or combining multiple arrays into a single array. NumPy
provides several functions for reshaping and stacking arrays, such as:
reshape()
: Reshapes an array to a new shape;resize()
: Resizes an array to a new shape, potentially adding or removing elements;vstack()
: Stacks arrays vertically (row-wise) to create a single array;hstack()
: Stacks arrays horizontally (column-wise) to create a single array;concatenate()
: Concatenates arrays along a given axis;stack()
: Stacks arrays along a new axis.
Task
- Create 3
numPy
arrays; - Reshape the array to a new shape;
- Resize the array to a new shape, potentially adding or removing elements;
- Stack the arrays vertically (row-wise) to create a single array;
- Stack the arrays horizontally (column-wise) to create a single array.
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Section 1. Chapter 6
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