Module « scipy.signal »

Fonction detrend - module scipy.signal

Signature de la fonction detrend

def detrend(data, axis=-1, type='linear', bp=0, overwrite_data=False) 

Description

detrend.__doc__

    Remove linear trend along axis from data.

    Parameters
    ----------
    data : array_like
        The input data.
    axis : int, optional
        The axis along which to detrend the data. By default this is the
        last axis (-1).
    type : {'linear', 'constant'}, optional
        The type of detrending. If ``type == 'linear'`` (default),
        the result of a linear least-squares fit to `data` is subtracted
        from `data`.
        If ``type == 'constant'``, only the mean of `data` is subtracted.
    bp : array_like of ints, optional
        A sequence of break points. If given, an individual linear fit is
        performed for each part of `data` between two break points.
        Break points are specified as indices into `data`. This parameter
        only has an effect when ``type == 'linear'``.
    overwrite_data : bool, optional
        If True, perform in place detrending and avoid a copy. Default is False

    Returns
    -------
    ret : ndarray
        The detrended input data.

    Examples
    --------
    >>> from scipy import signal
    >>> from numpy.random import default_rng
    >>> rng = default_rng()
    >>> npoints = 1000
    >>> noise = rng.standard_normal(npoints)
    >>> x = 3 + 2*np.linspace(0, 1, npoints) + noise
    >>> (signal.detrend(x) - noise).max()
    0.06  # random