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numpy.roll() in Python
numpy.roll() is a NumPy function that circularly shifts array elements by a specified number of positions, supporting both 1D and 2D arrays with axis-specific rolling capabilities. The function preser
ves the original array while creating a new rolled version, making it ideal for data manipulation tasks like time-series alignment and data augmentation.

Reasons to Read -- Learn:

  • how to manipulate arrays in NumPy using the roll() function, with practical examples showing both 1D and 2D array operations that can enhance your data preprocessing capabilities
  • implementing data augmentation techniques in machine learning projects, specifically how to generate variations in time-series and image data using numpy.roll()
  • nuances of array manipulation, including how to handle edge cases like rolling beyond array length and working with negative shifts, which are essential for robust data processing
  • publisher: @heyamit10
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