Increasingly, packages are being built on top of pandas to address specific needs in data preparation, analysis and visualization. This is encouraging because it means pandas

This section covers indexing with a MultiIndex and more advanced indexing features. See the

DataFrame memory usage As of pandas version 0.15.0, the memory usage of a dataframe (including the index) is shown when accessing

DataReader The sub-package pandas.io.data is removed in favor of a separately installable

The pandas I/O API is a set of top level reader functions accessed like pd.read_csv() that generally return a pandas object.

pandas has proven very successful as a tool for working with time series data, especially in the financial data analysis space. Using the NumPy datetime64

Overview pandas has an options system that lets you customize some aspects of its behaviour, display-related options being those the user is most likely to adjust

New in version 0.17.1 Provisional:

Statistical Functions Percent Change Series, DataFrame, and Panel

This is a guide to many pandas tutorials, geared mainly for new users. Internal Guides pandas own