October 2014
Beginner to intermediate
348 pages
6h 55m
English
A lag plot is a scatter plot for a time series and the same data lagged. With such a plot, we can check whether there is a possible correlation between CPU transistor counts this year and the previous year, for instance. The lag_plot() pandas function in pandas.tools.plotting can draw a lag plot. Draw a lag plot with the default lag of 1 for the CPU transistor counts, as follows:
lag_plot(np.log(df['trans_count']))
Refer to the following plot for the end result:

The following code for the lag plot example can also be found in the lag_plot.py file in this book's code bundle:
import matplotlib.pyplot as plt import numpy as np import pandas as ...
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