**Autocorrelation plots** graph **autocorrelations** of time series data for different lags. Autocorrelation is the correlation of a time series with the same time series lagged. The `autocorrelation_plot()`

pandas function in `pandas.tools.plotting`

can draw an autocorrelation plot.

The following is the code from the `autocorr_plot.py`

file in this book's code bundle:

import matplotlib.pyplot as plt import numpy as np import pandas as pd from pandas.tools.plotting import autocorrelation_plot df = pd.read_csv('transcount.csv') df = df.groupby('year').aggregate(np.mean) gpu = pd.read_csv('gpu_transcount.csv') gpu = gpu.groupby('year').aggregate(np.mean) df = pd.merge(df, gpu, how='outer', left_index=True, right_index=True) df = df.replace(np.nan, ...

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