October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Bootstrap plot
A bootstrap plot is used to determine the uncertainty of statistics such as mean, median, midrange, and so on. It relies on the random sampling method with replacement. Calculating a statistic by randomly sampling from the same data multiple times and then averaging the individual result from each sample is called bootstrapping. A bootstrapping plot basically plots all the resultant values that were obtained from each random sample. It calculates the mean, median, and mode for all the samples and plots them as bar and line charts.
A random sample is selected from the data and the process is repeated a specified number of times to obtain the required metrics. The resulting plot that's obtained is a bootstrap plot:
fig = pd.plotting.bootstrap_plot(s) ...
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