Pandas .edu
Pandas
Thomas Schwarz, SJ
Basics
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Tool for data sets:
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Analysis
Aggregation
Cleaning
Merging
Pivoting
Basics
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Where to get Pandas
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Install via pip or homebrew
Use a distribution like Anaconda
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Comes with Jupyter (aka iPython) Notebooks which
are popular among data scientists
Pandas Overview
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Build on top of NumPy
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Uses DataFrame (and Series) as fundamental data
structure
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Supports
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attaching labels to data
working with missing data
grouping
pivoting
Pandas Overview
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Usually imported as pd
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