Provides a MATLAB-like plotting framework.

`pylab`

combines pyplot with numpy into a single namespace. This is convenient for interactive work, but for programming it is recommended that the namespaces be kept separate, e.g.:```
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(0, 5, 0.1);
y = np.sin(x)
plt.plot(x, y)
```

`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: Trueif True, input vectors are normalised to unit length.**usevlines**: boolean, optional, default: Trueif 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: 10number of lags to show. If None, will return all 2 * len(x) - 1 lags.Returns: **(lags, c, line, b)**: where:Other Parameters: **linestyle**:`Line2D`

prop, optional, default: NoneOnly used if usevlines is False.**marker**: string, optional, default: ‘o’NotesThe cross correlation is performed with`numpy.correlate()`

with`mode`

= 2.Examples

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