10 Minutes to pandas

This is a short introduction to pandas, geared mainly for new users. You can see more complex recipes in the

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Comparison with SQL

Since many potential pandas users have some familiarity with SQL

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Essential Basic Functionality

Here we discuss a lot of the essential functionality common to the pandas data structures. Here?s how to create some of the objects used in the examples from the

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Group By: split-apply-combine

By ?group by? we are referring to a process involving one or more of the following steps Splitting the data into groups

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Comparison with SAS

For potential users coming from SAS this page is meant

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Sparse data structures

Note The SparsePanel class has been removed in 0.19.0 We have

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Installation

The easiest way for the majority of users to install pandas is to install it as part of the

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Indexing and Selecting Data

The axis labeling information in pandas objects serves many purposes: Identifies data (i.e. provides metadata) using known indicators

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Caveats and Gotchas

Using If/Truth Statements with pandas pandas follows the numpy convention of raising an error when you try to convert something to a bool

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Frequently Asked Questions (FAQ)

DataFrame memory usage As of pandas version 0.15.0, the memory usage of a dataframe (including the index) is shown when accessing

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