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

New in version 0.15. Note

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

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

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

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

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

Since many potential pandas users have some familiarity with SQL

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