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Méthode numpy.random.Generator.standard_exponential

Signature de la méthode standard_exponential

Description

standard_exponential.__doc__

        standard_exponential(size=None, dtype=np.float64, method='zig', out=None)

        Draw samples from the standard exponential distribution.

        `standard_exponential` is identical to the exponential distribution
        with a scale parameter of 1.

        Parameters
        ----------
        size : int or tuple of ints, optional
            Output shape.  If the given shape is, e.g., ``(m, n, k)``, then
            ``m * n * k`` samples are drawn.  Default is None, in which case a
            single value is returned.
        dtype : dtype, optional
            Desired dtype of the result, only `float64` and `float32` are supported.
            Byteorder must be native. The default value is np.float64.
        method : str, optional
            Either 'inv' or 'zig'. 'inv' uses the default inverse CDF method.
            'zig' uses the much faster Ziggurat method of Marsaglia and Tsang.
        out : ndarray, optional
            Alternative output array in which to place the result. If size is not None,
            it must have the same shape as the provided size and must match the type of
            the output values.

        Returns
        -------
        out : float or ndarray
            Drawn samples.

        Examples
        --------
        Output a 3x8000 array:

        >>> n = np.random.default_rng().standard_exponential((3, 8000))