Pandas .edu
Pandas
Thomas Schwarz SJ
Pandas
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Overview
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Pandas is built on top of Numpy and Scipy
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What you learned about Numpy is still directly
applicable
Automatizes many actions for data science typical
tasks
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 pip3
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
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