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# matplotlib.pyplot.acorr

`matplotlib.pyplot.``acorr`(x, hold=None, data=None, **kwargs)

  Plot the autocorrelation of `x`.

  Parameters: | x : sequence of scalar hold : boolean, optional, deprecated, default: True detrend : callable, optional, default: `mlab.detrend_none` x is detrended by the `detrend` callable. Default is no normalization. normed : boolean, optional, default: True if True, input vectors are normalised to unit length. usevlines : boolean, optional, default: True if True, Axes.vlines is used to plot the vertical lines from the origin to the acorr. Otherwise, Axes.plot is used. maxlags : integer, optional, default: 10 number of lags to show. If None, will return all 2 * len(x) - 1 lags.
  Returns: | (lags, c, line, b) : where: `lags` are a length 2`maxlags+1 lag vector. `c` is the 2`maxlags+1 auto correlation vectorI `line` is a `Line2D` instance returned by `plot`. `b` is the x-axis.
  Other Parameters:
  | linestyle : `Line2D` prop, optional, default: None Only used if usevlines is False. marker : string, optional, default: ‘o’

  Notes

  The cross correlation is performed with `numpy.correlate()` with `mode` = 2.

  Note

  In addition to the above described arguments, this function can take a data keyword argument. If such a data argument is given, the following arguments are replaced by data[<arg>]:

  - All arguments with the following names: ‘x’.