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Module « scipy.special »

Fonction logit - module scipy.special

Signature de la fonction logit

def logit(*args, **kwargs) 

Description

help(scipy.special.logit)

logit(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature])


    logit(x, out=None)

    Logit ufunc for ndarrays.

    The logit function is defined as logit(p) = log(p/(1-p)).
    Note that logit(0) = -inf, logit(1) = inf, and logit(p)
    for p<0 or p>1 yields nan.

    Parameters
    ----------
    x : ndarray
        The ndarray to apply logit to element-wise.
    out : ndarray, optional
        Optional output array for the function results

    Returns
    -------
    scalar or ndarray
        An ndarray of the same shape as x. Its entries
        are logit of the corresponding entry of x.

    See Also
    --------
    expit

    Notes
    -----
    As a ufunc logit takes a number of optional
    keyword arguments. For more information
    see `ufuncs <https://docs.scipy.org/doc/numpy/reference/ufuncs.html>`_

    .. versionadded:: 0.10.0

    Examples
    --------
    >>> import numpy as np
    >>> from scipy.special import logit, expit

    >>> logit([0, 0.25, 0.5, 0.75, 1])
    array([       -inf, -1.09861229,  0.        ,  1.09861229,         inf])

    `expit` is the inverse of `logit`:

    >>> expit(logit([0.1, 0.75, 0.999]))
    array([ 0.1  ,  0.75 ,  0.999])

    Plot logit(x) for x in [0, 1]:

    >>> import matplotlib.pyplot as plt
    >>> x = np.linspace(0, 1, 501)
    >>> y = logit(x)
    >>> plt.plot(x, y)
    >>> plt.grid()
    >>> plt.ylim(-6, 6)
    >>> plt.xlabel('x')
    >>> plt.title('logit(x)')
    >>> plt.show()
    

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