Pandas

Data analysis and manipulation library providing DataFrames for working with tabular data

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Data Science & MLFeatured
Topicslibrarydata-analysisdataframes

Pandas’ DataFrame is the default way to work with tabular data in Python — reading CSVs or spreadsheets, filtering rows, grouping and aggregating, joining datasets together. If you have “a spreadsheet’s worth of data” and need to do anything beyond opening it in Excel, this is almost always the tool.

Built on top of NumPy for its underlying array operations, and typically the second thing learned after it in a data science learning path — see the Python Learning Roadmap.

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