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
SparseDataFrameclass — a CSR sparse matrix with anindexandcolumns. - utils: General utilities, including functions for dumping and loading pandas objects, sampling, displaying, and many more.
Release files for epic-pandas 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| epic_pandas-1.1.1.tar.gz | 29.4 kB | Details |
Release files / epic_pandas-1.1.1.tar.gz
| Download URL | epic_pandas-1.1.1.tar.gz |
|---|---|
| Size | 29.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
f69e4852b53734d1964701910350e5ce58609b2d5fd10126ed0c35bd19e37189
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BLAKE2b-256 checksum How to use checksums |
787ed35b0e8c264f519c090f86f6a6512670c4d45b533b8f7c77ae898d2ef3e2
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/6.1.0 CPython/3.13.7
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Signed by GitHub Actions, verified by PyPI on Nov 6, 2025.
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