numpy.ma.compress_cols(a) [source] Suppress whole columns of a 2-D array that contain masked values. This is equivalent to np.ma.compress_rowcols(a, 1), see extras.compress_rowcols for details. See also extras.compress_rowcols

chararray.nbytes Total bytes consumed by the elements of the array. Notes Does not include memory consumed by non-element attributes of the array object. Examples >>> x = np.zeros((3,5,2), dtype=np.complex128) >>> x.nbytes 480 >>> np.prod(x.shape) * x.itemsize 480

matrix.reshape(shape, order='C') Returns an array containing the same data with a new shape. Refer to numpy.reshape for full documentation. See also numpy.reshape equivalent function

numpy.irr(values) [source] Return the Internal Rate of Return (IRR). This is the ?average? periodically compounded rate of return that gives a net present value of 0.0; for a more complete explanation, see Notes below. Parameters: values : array_like, shape(N,) Input cash flows per time period. By convention, net ?deposits? are negative and net ?withdrawals? are positive. Thus, for example, at least the first element of values, which represents the initial investment, will typically be ne

ndarray.__truediv__ x.__truediv__(y) <==> x/y

ndarray.var(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the variance of the array elements, along given axis. Refer to numpy.var for full documentation. See also numpy.var equivalent function

MaskedArray.__mul__(other) [source] Multiply self by other, and return a new masked array.

generic.sort() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also The

MaskedArray.__str__() [source] String representation.

record.flatten() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also The