recarray.compress()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.compress(condition, axis=None, out=None) Return selected slices of this array along given axis. Refer

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recarray.nonzero()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.nonzero() Return the indices of the elements that are non-zero. Refer to

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matrix.var()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.var(axis=None, dtype=None, out=None, ddof=0)

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matrix.min()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.min(axis=None, out=None)

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matrix.H
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.H Returns the (complex) conjugate transpose of self. Equivalent to np.transpose(self)

2025-01-10 15:47:30
matrix.argsort()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.argsort(axis=-1, kind='quicksort', order=None) Returns the indices that would sort this array. Refer to

2025-01-10 15:47:30
recarray.round()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.round(decimals=0, out=None) Return a with each element rounded to the given number of decimals.

2025-01-10 15:47:30
matrix.clip()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.clip(min=None, max=None, out=None) Return an array whose values are limited to [min, max]. One of max or

2025-01-10 15:47:30
matrix.size
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.size Number of elements in the array. Equivalent to np.prod(a.shape), i.e., the product of the

2025-01-10 15:47:30
recarray.nbytes
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.nbytes Total bytes consumed by the elements of the array. Notes Does not include

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