numpy.core.defchararray.startswith()
  • References/Python/NumPy/Routines/String operations

numpy.core.defchararray.startswith(a, prefix, start=0, end=None)

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numpy.ndenumerate()
  • References/Python/NumPy/Routines/Indexing routines

class numpy.ndenumerate(arr)

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numpy.shares_memory()
  • References/Python/NumPy/Routines/Miscellaneous routines

numpy.shares_memory(a, b, max_work=None) Determine if two arrays share memory

2025-01-10 15:47:30
dtype.hasobject
  • References/Python/NumPy/Routines/Data type routines/numpy.dtype

dtype.hasobject Boolean indicating whether this dtype contains any reference-counted objects in any fields or sub-dtypes

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PyArrayObject
  • References/Python/NumPy/NumPy C-API

Several new types are defined in the C-code. Most of these are accessible from Python, but a few are not exposed due to their limited use. Every new Python type has an associated PyObject *

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

Legendre.copy()

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Matrix library (numpy.matlib)
  • References/Python/NumPy/Routines

This module contains all functions in the numpy namespace, with the following replacement functions that return

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numpy.core.defchararray.rstrip()
  • References/Python/NumPy/Routines/String operations

numpy.core.defchararray.rstrip(a, chars=None)

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Datetime Support Functions
  • References/Python/NumPy/Routines

Business Day Functions

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

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

2025-01-10 15:47:30