numpy.flipud() is a specialized NumPy function that vertically flips arrays by reversing row order, creating a new array while preserving the original. It works across all array dimensions and is part
icularly useful in image processing, data analysis, and handling multi-dimensional datasets.
Reasons to Read -- Learn:
how to efficiently manipulate array data in NumPy using flipud(), which is essential for image processing tasks like vertical image flipping without writing complex loops.
practical differences between numpy.flipud() and numpy.flip(), helping you choose the right tool for your specific array manipulation needs and understand when to use each function.
how to handle multi-dimensional arrays in NumPy, with clear examples showing how flipud() behaves differently across 1D, 2D, and 3D arrays, making it easier to work with complex data structures.
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