python data basics class 2 part 5 logical indexing in pandas python free code walkthrough

Logical indexing in Python is incredibly useful as it allows one to section out data and complete analysis or perform preprocessing techniques only on a subsection of data.  Logical Indexing in Python would allow us to isolate and only analyze people from one gender or from a certain city.  We can also use logical indexing in Pandas to select only those observations that are above or below a set point in a continuous variable.  Going a step further with dual logical indexing we can filter only those observations that met both of those requires using and statement and that meet any requirement using or statement in Python with Pandas.  Follow along with the free to use Python Colab on Logical Statements.

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