Data Structures for Statistical Computing in Python

作者：Wes McKinney · 发表于：Proceedings of the Python in Science Conferences · 年份：2010 · DOI：10.25080/majora-92bf1922-00a · 被引用次数：11715 · 研究领域：Computational Physics and Python Applications

In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields.pandas is a new library which aims to facilitate working with these data sets and to provide a set of fundamental building blocks for implementing statistical models.We will discuss specific design issues encountered in the course of developing pandas with relevant examples and some comparisons with the R language.We conclude by discussing possible future directions for statistical computing and data analysis using Python.