Pandas - Marquette University
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 Series
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A one-dimensional array
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Can hold data of any type
Axis labels are called index
Pandas Series
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Can create using a scalar that is going to be repeated.
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An index needs to be explicitly provided
pd.Series(5,index)
a
5
b
5
c
5
dtype: int64
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