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  • Python
  • NumPy
  • Routines
Routines:
  • Array creation routines
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  • Financial functions
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×
Mathematical functions
  • References/Python/NumPy/Routines

Trigonometric functions

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

dtype.subdtype Tuple (item_dtype, shape) if this

2025-01-10 15:47:30
numpy.core.defchararray.decode()
  • References/Python/NumPy/Routines/String operations

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

2025-01-10 15:47:30
numpy.argpartition()
  • References/Python/NumPy/Routines/Sorting, searching, and counting

numpy.argpartition(a, kth, axis=-1, kind='introselect', order=None)

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

Order statistics

2025-01-10 15:47:30
numpy.matmul()
  • References/Python/NumPy/Routines/Linear algebra

numpy.matmul(a, b, out=None) Matrix product of two arrays. The behavior depends on the arguments in the following way.

2025-01-10 15:47:30
numpy.polysub()
  • References/Python/NumPy/Routines/Polynomials/Poly1d

numpy.polysub(a1, a2)

2025-01-10 15:47:30
numpy.core.defchararray.greater_equal()
  • References/Python/NumPy/Routines/String operations

numpy.core.defchararray.greater_equal(x1, x2)

2025-01-10 15:47:30
numpy.triu_indices()
  • References/Python/NumPy/Routines/Indexing routines

numpy.triu_indices(n, k=0, m=None)

2025-01-10 15:47:30
numpy.ptp()
  • References/Python/NumPy/Routines/Statistics

numpy.ptp(a, axis=None, out=None)

2025-01-10 15:47:30

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