numpy.ma.outer()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.outer(a, b)

2025-01-10 15:47:30
numpy.ma.asarray()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.asarray(a, dtype=None, order=None)

2025-01-10 15:47:30
numpy.ma.trace()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.trace(self, offset=0, axis1=0, axis2=1, dtype=None, out=None) a.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None) =

2025-01-10 15:47:30
numpy.may_share_memory()
  • References/Python/NumPy/Routines/Miscellaneous routines

numpy.may_share_memory(a, b, max_work=None) Determine if two arrays might share memory A return of True does

2025-01-10 15:47:30
chararray.squeeze()
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.squeeze(axis=None) Remove single-dimensional entries from the shape of a.

2025-01-10 15:47:30
chararray.ravel()
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.ravel([order]) Return a flattened array. Refer to

2025-01-10 15:47:30
chararray.dumps()
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.dumps() Returns the pickle of the array as a string. pickle.loads or numpy.loads will convert

2025-01-10 15:47:30
numpy.ravel_multi_index()
  • References/Python/NumPy/Routines/Indexing routines

numpy.ravel_multi_index(multi_index, dims, mode='raise', order='C') Converts a tuple of index arrays into an array

2025-01-10 15:47:30
numpy.array_str()
  • References/Python/NumPy/Routines/Input and output

numpy.array_str(a, max_line_width=None, precision=None, suppress_small=None)

2025-01-10 15:47:30
Laguerre.cutdeg()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

Laguerre.cutdeg(deg)

2025-01-10 15:47:30