Bootstrap plot on mean, median and mid-range statistics.
The bootstrap plot is used to estimate the uncertainty of a statistic
by relaying on random sampling with replacement . This function will
generate bootstrapping plots for mean, median and mid-range statistics
for the given number of samples of the given size.
“Bootstrapping (statistics)” in https://en.wikipedia.org/wiki/Bootstrapping_%28statistics%29
Series from where to get the samplings for the bootstrapping.
If given, it will use the fig reference for plotting instead of
creating a new one with default parameters.
Number of data points to consider during each sampling. It must be
less than or equal to the length of the series.
Number of times the bootstrap procedure is performed.
Options to pass to matplotlib plotting method.
Basic plotting for DataFrame objects.
Basic plotting for Series objects.
This example draws a basic bootstap plot for a Series.
>>> s = pd.Series(np.random.uniform(size=100))