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

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

New in version 0.15. Note

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

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

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

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

Warning In v0.16.0, the pandas.rpy interface has been deprecated and

In this section, we will discuss missing (also referred to as NA) values in pandas. Note

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