New in version 0.15. Note

Reshaping by pivoting DataFrame objects Data is often stored in CSV files or databases in so-called ?stacked? or ?record? format:

pandas provides various facilities for easily combining together Series, DataFrame, and Panel objects with various kinds of set logic for the indexes and relational

Cython (Writing C extensions for pandas) For many use cases writing pandas in pure python and numpy is sufficient. In some computationally

Series and Index are equipped with a set of string processing methods that make it easy to operate on each element of the array. Perhaps most importantly, these methods

We use the standard convention for referencing the matplotlib API: In [1]: import matplotlib.pyplot as plt The plots in

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

Since many potential pandas users have some familiarity with SQL

pandas consists of the following things A set of labeled array data structures, the primary of which are Series and DataFrame

This is a repository for short and sweet examples and links for useful pandas recipes. We encourage users to add to this documentation. Adding interesting links and/or