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Pandas 1.x Cookbook - Second Edition

You're reading from  Pandas 1.x Cookbook - Second Edition

Product type Book
Published in Feb 2020
Publisher Packt
ISBN-13 9781839213106
Pages 626 pages
Edition 2nd Edition
Languages
Authors (2):
Matt Harrison Matt Harrison
Profile icon Matt Harrison
Theodore Petrou Theodore Petrou
Profile icon Theodore Petrou
View More author details

Table of Contents (17) Chapters

Preface Pandas Foundations Essential DataFrame Operations Creating and Persisting DataFrames Beginning Data Analysis Exploratory Data Analysis Selecting Subsets of Data Filtering Rows Index Alignment Grouping for Aggregation, Filtration, and Transformation Restructuring Data into a Tidy Form Combining Pandas Objects Time Series Analysis Visualization with Matplotlib, Pandas, and Seaborn Debugging and Testing Pandas Other Books You May Enjoy
Index

Calculating Boolean statistics

It can be informative to calculate basic summary statistics on Boolean arrays. Each value of a Boolean array, the True or False, evaluates to 1 or 0 respectively, so all the Series methods that work with numerical values also work with Booleans.

In this recipe, we create a Boolean array by applying a condition to a column of data and then calculate summary statistics from it.

How to do it…

  1. Read in the movie dataset, set the index to the movie title, and inspect the first few rows of the duration column:
    >>> import pandas as pd
    >>> import numpy as np
    >>> movie = pd.read_csv(
    ...     "data/movie.csv", index_col="movie_title"
    ... )
    >>> movie[["duration"]].head()
                                                Duration
    movie_title
    Avatar                                         178.0
    Pirates of the Caribbean: At World's End       169.0
    Spectre       ...
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