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

numpy.core.defchararray.isupper(a)

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

numpy.core.defchararray.encode(a, encoding=None, errors=None)

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numpy.ma.copy()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.copy(self, *args, **params) a.copy(order='C') = Return a copy of the array.

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numpy.ma.arange()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.arange([start, ]stop, [step, ]dtype=None) = Return evenly spaced values within a given interval. Values are generated

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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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chararray.data
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.data Python buffer object pointing to the start of the array?s data.

2025-01-10 15:47:30
Polynomial.cast()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

classmethod Polynomial.cast(series, domain=None, window=None)

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numpy.iscomplex()
  • References/Python/NumPy/Routines/Logic functions

numpy.iscomplex(x)

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

Legendre.convert(domain=None, kind=None, window=None)

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numpy.fromfile()
  • References/Python/NumPy/Routines/Array creation routines

numpy.fromfile(file, dtype=float, count=-1, sep='') Construct an array from data in a text or binary file. A highly efficient

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