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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ndarray.max()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.max(axis=None, out=None) Return the maximum along a given axis. Refer to

2025-01-10 15:47:30
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

2025-01-10 15:47:30
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
ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__lshift__ x.__lshift__(y) <==> x<<y

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ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__hex__() <==> hex(x)

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ndarray.dumps()
  • References/Python/NumPy/Array objects/The N-dimensional array

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

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dtype.itemsize
  • References/Python/NumPy/Array objects/Data type objects

dtype.itemsize The element size of this data-type object. For 18 of the 21 types this number is fixed by the data-type

2025-01-10 15:47:30