numpy.fv()
  • References/Python/NumPy/Routines/Financial functions

numpy.fv(rate, nper, pmt, pv, when='end')

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matrix.flat
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.flat A 1-D iterator over the array. This is a

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Indexing routines
  • References/Python/NumPy/Routines

See also

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generic.searchsorted()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

generic.searchsorted() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars

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matrix.H
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.H Returns the (complex) conjugate transpose of self. Equivalent to np.transpose(self)

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MaskedArray.
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.__rfloordiv__(other)

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

numpy.core.defchararray.isupper(a)

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ndarray.reshape()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.reshape(shape, order='C') Returns an array containing the same data with a new shape. Refer to

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

chararray.tostring(order='C') Construct Python bytes containing the raw data bytes in the array.

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

numpy.reciprocal(x[, out]) = Return the reciprocal of the argument, element-wise. Calculates 1/x.

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