October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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DataFrames
A DataFrame is a two-dimensional data structure composed of rows and columns—exactly like a simple spreadsheet or a SQL table. Each column of a DataFrame is a pandas Series. These columns should be of the same length, but they can be of different data types—float, int, bool, and so on. DataFrames are both value-mutable and size-mutable. This lets us perform operations that would alter values held within the DataFrame or add/delete columns to/from the DataFrame.
Similar to a Series, which has a name and index as attributes, a DataFrame has column names and a row index. The row index can be made of either numerical values or strings such as month names. Indexes are needed for fast lookups as well as proper aligning and joining of ...
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