numpy.fmax()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.fmax(x1, x2[, out]) = Element-wise maximum of array elements. Compare two arrays and returns a new array containing the

2025-01-10 15:47:30
broadcast.iters
  • References/Python/NumPy/Routines/Array manipulation routines/numpy.broadcast

broadcast.iters tuple of iterators along self?s ?components.? Returns a tuple of

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

chararray.endswith(suffix, start=0, end=None)

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

numpy.diagonal(a, offset=0, axis1=0, axis2=1)

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

numpy.ma.masked_not_equal(x, value, copy=True)

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

numpy.polynomial.polynomial.polyint(c, m=1, k=[], lbnd=0, scl=1, axis=0)

2025-01-10 15:47:30
RandomState.set_state()
  • References/Python/NumPy/Routines/Random sampling

RandomState.set_state(state) Set the internal state of the generator from a tuple. For use if one has

2025-01-10 15:47:30
numpy.polynomial.laguerre.lagx
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.lagx = array([ 1, -1])

2025-01-10 15:47:30
numpy.busday_count()
  • References/Python/NumPy/Routines/Datetime Support Functions

numpy.busday_count(begindates, enddates, weekmask='1111100', holidays=[], busdaycal=None, out=None) Counts the number of

2025-01-10 15:47:30
numpy.polynomial.legendre.legval()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

numpy.polynomial.legendre.legval(x, c, tensor=True)

2025-01-10 15:47:30