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

MaskedArray.dtype Data-type of the array?s elements.

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

MaskedArray.__setmask__(mask, copy=False)

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

MaskedArray.toflex()

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

dtype.flags Bit-flags describing how this data type is to be interpreted. Bit-masks are in numpy.core.multiarray

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

recarray.ctypes An object to simplify the interaction of the array with the ctypes module. This attribute creates

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

matrix.partition(kth, axis=-1, kind='introselect', order=None) Rearranges the elements in the array in such a way that

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

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

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

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

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

recarray.imag The imaginary part of the array. Examples

2025-01-10 15:47:30
The numpy.ma module
  • References/Python/NumPy/Array objects/Masked arrays

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

2025-01-10 15:47:30