Legendre.has_samewindow()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

Legendre.has_samewindow(other)

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numpy.ma.masked
  • References/Python/NumPy/Array objects/Masked arrays

In addition to the

2025-01-10 15:47:30
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

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

MaskedArray.copy(order='C')

2025-01-10 15:47:30
numpy.random.logistic()
  • References/Python/NumPy/Routines/Random sampling

numpy.random.logistic(loc=0.0, scale=1.0, size=None) Draw samples from a logistic distribution. Samples are drawn

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

numpy.ma.make_mask(m, copy=False, shrink=True, dtype=)

2025-01-10 15:47:30
numpy.sctype2char()
  • References/Python/NumPy/Routines/Data type routines

numpy.sctype2char(sctype)

2025-01-10 15:47:30
Polynomials
  • References/Python/NumPy/Routines

Polynomials in NumPy can be created, manipulated, and even fitted using the

2025-01-10 15:47:30
numpy.info()
  • References/Python/NumPy/Routines/NumPy-specific help functions

numpy.info(object=None, maxwidth=76, output=', mode 'w' at 0x402ae078>, toplevel='numpy')

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

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

2025-01-10 15:47:30