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Classe « Axes »

Méthode matplotlib.axes.Axes.acorr

Signature de la méthode acorr

def acorr(self, x, *, data=None, **kwargs) 

Description

help(Axes.acorr)

Plot the autocorrelation of *x*.

Parameters
----------
x : array-like
    Not run through Matplotlib's unit conversion, so this should
    be a unit-less array.

detrend : callable, default: `.mlab.detrend_none` (no detrending)
    A detrending function applied to *x*.  It must have the
    signature ::

        detrend(x: np.ndarray) -> np.ndarray

normed : bool, default: True
    If ``True``, input vectors are normalised to unit length.

usevlines : bool, default: True
    Determines the plot style.

    If ``True``, vertical lines are plotted from 0 to the acorr value
    using `.Axes.vlines`. Additionally, a horizontal line is plotted
    at y=0 using `.Axes.axhline`.

    If ``False``, markers are plotted at the acorr values using
    `.Axes.plot`.

maxlags : int, default: 10
    Number of lags to show. If ``None``, will return all
    ``2 * len(x) - 1`` lags.

Returns
-------
lags : array (length ``2*maxlags+1``)
    The lag vector.
c : array  (length ``2*maxlags+1``)
    The auto correlation vector.
line : `.LineCollection` or `.Line2D`
    `.Artist` added to the Axes of the correlation:

    - `.LineCollection` if *usevlines* is True.
    - `.Line2D` if *usevlines* is False.
b : `~matplotlib.lines.Line2D` or None
    Horizontal line at 0 if *usevlines* is True
    None *usevlines* is False.

Other Parameters
----------------
linestyle : `~matplotlib.lines.Line2D` property, optional
    The linestyle for plotting the data points.
    Only used if *usevlines* is ``False``.

marker : str, default: 'o'
    The marker for plotting the data points.
    Only used if *usevlines* is ``False``.

data : indexable object, optional
    If given, the following parameters also accept a string ``s``, which is
    interpreted as ``data[s]`` if ``s`` is a key in ``data``:

    *x*

**kwargs
    Additional parameters are passed to `.Axes.vlines` and
    `.Axes.axhline` if *usevlines* is ``True``; otherwise they are
    passed to `.Axes.plot`.

Notes
-----
The cross correlation is performed with `numpy.correlate` with
``mode = "full"``.

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