epic-pandas 1.1.1

Extra treats for the data-oriented

Epic pandas — Extra treats for the data-oriented

What is it?

The epic-pandas Python library provides various utilities for working with data. Most are built on top of the pandas library, but some only require numpy. These are various functions and classes which can be useful and helpful in almost any data-oriented project. Some allow for more efficiency and flexibility in some common tasks, while others are just convenient. Also included is a package full of helpers and treats for plotting with matplotlib.

Modules

• algorithm: Mostly statistical algorithms for working with binary data.
• create: Create a (potentially large) DataFrame or Series efficiently from an iterable.
• matplotlib: Package with easy plotting functions and other plotting utilities.
• networkx: Draw a networkx graph with labels and colors.
• numpy: Utilities for working with numpy.
• parallel: Apply a function over a DataFrame or Series in parallel.
• sparse: The SparseDataFrame class — a CSR sparse matrix with an index and columns.
• utils: General utilities, including functions for dumping and loading pandas objects, sampling, displaying, and many more.