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  • References
  • Python
  • NumPy
  • Routines
  • Array manipulation routines
Array Manipulation Routines:
  • numpy.broadcast


×
numpy.split()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.split(ary, indices_or_sections, axis=0)

2025-01-10 15:47:30
numpy.trim_zeros()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.trim_zeros(filt, trim='fb')

2025-01-10 15:47:30
numpy.transpose()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.transpose(a, axes=None)

2025-01-10 15:47:30
numpy.moveaxis()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.moveaxis(a, source, destination)

2025-01-10 15:47:30
numpy.append()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.append(arr, values, axis=None)

2025-01-10 15:47:30
broadcast.shape
  • References/Python/NumPy/Routines/Array manipulation routines/numpy.broadcast

broadcast.shape Shape of broadcasted result. Examples

2025-01-10 15:47:30
broadcast.size
  • References/Python/NumPy/Routines/Array manipulation routines/numpy.broadcast

broadcast.size Total size of broadcasted result. Examples

2025-01-10 15:47:30
numpy.asmatrix()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.asmatrix(data, dtype=None)

2025-01-10 15:47:30
ndarray.flatten()
  • References/Python/NumPy/Routines/Array manipulation routines

ndarray.flatten(order='C') Return a copy of the array collapsed into one dimension.

2025-01-10 15:47:30
numpy.dsplit()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.dsplit(ary, indices_or_sections)

2025-01-10 15:47:30

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