pandas pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Install pandas now!

The User Guide covers all of pandas by topic area. Each of the subsections introduces a topic (such as “working with missing data”), and discusses how pandas approaches the problem, with many …

Try pandas in your browser (experimental) You can try pandas in your browser with the following interactive shell without needing to install anything on your system.

2026年2月18日 · pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

class pandas.DataFrame(data=None, index=None, columns=None, dtype=None, copy=None) [source] # Two-dimensional, size-mutable, potentially heterogeneous tabular data.

pandas provides various facilities for easily combining together Series and DataFrame objects with various kinds of set logic for the indexes and relational algebra functionality in the case of join / …

For a quick overview of pandas functionality, see 10 Minutes to pandas. You can also reference the pandas cheat sheet for a succinct guide for manipulating data with pandas.

pandas aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open …

pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive.

For users that are new to Python, the easiest way to install Python, pandas, and the packages that make up the PyData stack such as SciPy, NumPy and Matplotlib is with Anaconda, a cross-platform (Linux, …