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Numerical Computing with Python

You're reading from   Numerical Computing with Python Harness the power of Python to analyze and find hidden patterns in the data

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789953633
Length 682 pages
Edition 1st Edition
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Authors (5):
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Pratap Dangeti Pratap Dangeti
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Pratap Dangeti
Theodore Petrou Theodore Petrou
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Theodore Petrou
Allen Yu Allen Yu
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Allen Yu
Aldrin Yim Aldrin Yim
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Aldrin Yim
Claire Chung Claire Chung
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Claire Chung
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Table of Contents (21) Chapters Close

Title Page
Contributors
About Packt
Preface
1. Journey from Statistics to Machine Learning FREE CHAPTER 2. Tree-Based Machine Learning Models 3. K-Nearest Neighbors and Naive Bayes 4. Unsupervised Learning 5. Reinforcement Learning 6. Hello Plotting World! 7. Visualizing Online Data 8. Visualizing Multivariate Data 9. Adding Interactivity and Animating Plots 10. Selecting Subsets of Data 11. Boolean Indexing 12. Index Alignment 13. Grouping for Aggregation, Filtration, and Transformation 14. Restructuring Data into a Tidy Form 15. Combining Pandas Objects 1. Other Books You May Enjoy Index

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 certain metrics.

Getting ready

This recipe discovers the school that has the maximum value for each numeric column and styles the DataFrame in order to highlight the information so that it is easily consumed by a user.

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
                       ...   
PCTFLOAN              float64
UG25ABV               float64
MD_EARN_WNE_P10        object
GRAD_DEBT_MDN_SUPP     object
Length: 26, dtype: object

 

 

 

 

  1. All the other columns besides CITY and STABBR appear to be numeric. Examining the data types from the...
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