MaskedArray.size
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

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

2025-01-10 15:47:30
dtype.type
  • References/Python/NumPy/Array objects/Data type objects

dtype.type The type object used to instantiate a scalar of this data-type.

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

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

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generic.trace()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

generic.trace() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and

2025-01-10 15:47:30
generic.sort()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

generic.sort() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

2025-01-10 15:47:30
MaskedArray.shape
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.shape Tuple of array dimensions. Notes May be used to ?reshape? the

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

recarray.getfield(dtype, offset=0) Returns a field of the given array as a certain type. A field is a view of

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

matrix.transpose(*axes) Returns a view of the array with axes transposed. For a 1-D array, this has no effect.

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

matrix.A Return self as an

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Masked arrays
  • References/Python/NumPy/Array objects

Masked arrays are arrays that may have missing or invalid entries. The numpy.ma module provides a nearly work-alike replacement for numpy that supports data arrays

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