Minimally Sufficient Pandas Cheat Sheet

Ted Petrou
Dunder Data
4 min readJan 31, 2019

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This article summarizes the very detailed guide presented in Minimally Sufficient Pandas.

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What is Minimally Sufficient Pandas?

  • It is a small subset of the library that is sufficient to accomplish nearly everything that it has to offer.
  • It allows you to focus on doing data analysis and not the syntax

How will Minimally Sufficient Pandas benefit you?

  • All common data analysis tasks will use the same syntax
  • Fewer commands will be easier to commit to memory
  • Your code will be easier to understand by others and by you
  • It will be easier to put Pandas code in production
  • It reduces the chance of landing on a Pandas bug.

Specific Guidance

Selecting a Single Column of Data

Use the brackets and not dot notation to select a single column of data because the dot notation cannot column names with spaces, those…

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Ted Petrou
Dunder Data

Author of Master Data Analysis with Python and Founder of Dunder Data