Reader small image

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

Product typeBook
Published inFeb 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781839213106
Edition2nd Edition
Languages
Tools
Right arrow
Authors (2):
Matt Harrison
Matt Harrison
author image
Matt Harrison

Matt Harrison is an author, speaker, corporate trainer, and consultant. He authored the popular Learning the Pandas Library and Illustrated Guide to Python 3. He runs MetaSnake, which provides corporate and online training on Python and Data Science. In addition, he offers consulting services. He has worked on search engines, configuration management, storage, BI, predictive modeling, and in a variety of domains.
Read more about Matt Harrison

Theodore Petrou
Theodore Petrou
author image
Theodore Petrou

Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.
Read more about Theodore Petrou

View More author details
Right arrow

Highlighting the maximum value from each column

The college dataset has many numeric columns describing different metrics about each school. Many people are interested in schools that perform the best for specific metrics.

This recipe discovers the school that has the maximum value for each numeric column and styles the DataFrame to highlight the information.

How to do it…

  1. Read the college dataset with the institution name as the index:
    >>> college = pd.read_csv(
    ...     "data/college.csv", index_col="INSTNM"
    ... )
    >>> college.dtypes
    CITY                   object
    STABBR                 object
    HBCU                  float64
    MENONLY               float64
    WOMENONLY             float64
                           ...
    PCTPELL               float64
    PCTFLOAN              float64
    UG25ABV               float64
    MD_EARN_WNE_P10        object
    GRAD_DEBT_MDN_SUPP     object
    Length: 26, dtype: object
    
  2. All the other columns...
lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Pandas 1.x Cookbook - Second Edition
Published in: Feb 2020Publisher: PacktISBN-13: 9781839213106

Authors (2)

author image
Matt Harrison

Matt Harrison is an author, speaker, corporate trainer, and consultant. He authored the popular Learning the Pandas Library and Illustrated Guide to Python 3. He runs MetaSnake, which provides corporate and online training on Python and Data Science. In addition, he offers consulting services. He has worked on search engines, configuration management, storage, BI, predictive modeling, and in a variety of domains.
Read more about Matt Harrison

author image
Theodore Petrou

Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.
Read more about Theodore Petrou