| Unit 31 | Getting Used to Pandas Data Structures |
The module pandas adds two new containers to the already rich Python set of data structure: Series and DataFrame. A series is a one-dimensional, labeled (in other words, indexed) vector. A frame is a table with labeled rows and columns, not unlike an Excel spreadsheet or MySQL table. Each frame column is a series. With a few exceptions, pandas treats frames and series similarly.
Frames and series are not simply storage containers. They have built-in support for a variety of data-wrangling operations, such as:
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Single-level and hierarchical indexing
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Handling missing data
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Arithmetic and Boolean operations on entire columns and tables
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Database-type operations (such as merging and aggregation)
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