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Fonction real_if_close - module numpy

Signature de la fonction real_if_close

def real_if_close(a, tol=100) 

Description

real_if_close.__doc__

    If input is complex with all imaginary parts close to zero, return 
    real parts.

    "Close to zero" is defined as `tol` * (machine epsilon of the type for
    `a`).

    Parameters
    ----------
    a : array_like
        Input array.
    tol : float
        Tolerance in machine epsilons for the complex part of the elements
        in the array.

    Returns
    -------
    out : ndarray
        If `a` is real, the type of `a` is used for the output.  If `a`
        has complex elements, the returned type is float.

    See Also
    --------
    real, imag, angle

    Notes
    -----
    Machine epsilon varies from machine to machine and between data types
    but Python floats on most platforms have a machine epsilon equal to
    2.2204460492503131e-16.  You can use 'np.finfo(float).eps' to print
    out the machine epsilon for floats.

    Examples
    --------
    >>> np.finfo(float).eps
    2.2204460492503131e-16 # may vary

    >>> np.real_if_close([2.1 + 4e-14j, 5.2 + 3e-15j], tol=1000)
    array([2.1, 5.2])
    >>> np.real_if_close([2.1 + 4e-13j, 5.2 + 3e-15j], tol=1000)
    array([2.1+4.e-13j, 5.2 + 3e-15j])