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Python Data Analysis Cookbook
book

Python Data Analysis Cookbook

by Ivan Idris
July 2016
Beginner to intermediate
462 pages
9h 14m
English
Packt Publishing
Content preview from Python Data Analysis Cookbook

Winsorizing data

Winsorizing is another technique to deal with outliers and is named after Charles Winsor. In effect, Winsorization clips outliers to given percentiles in a symmetric fashion. For instance, we can clip to the 5th and 95th percentile. SciPy has a winsorize() function, which performs this procedure. The data for this recipe is the same as that for the Clipping and filtering outliers recipe.

How to do it...

Winsorize the data with the following procedure:

  1. The imports are as follows:
    rom scipy.stats.mstats import winsorize
    import statsmodels.api as sm
    import seaborn as sns
    import matplotlib.pyplot as plt
    import dautil as dl
    from IPython.display import HTML
  2. Load and winsorize the data for the effective temperature (limit is set to 15%): ...
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Publisher Resources

ISBN: 9781785282287