PyIPF
The pyipf package provides a function to perform Iterative Proportional Fitting (IPF), also known as
RAS or biproportional fitting. It is the operation of adjusting an initial N-dimensional matrix such that
its marginal sums match N target matrices of dimension N-1. In the 2-D case, the matrix is adjusted until
the row and column sums match two target vectors.
Versions
0.1.0 First release
1 maintainer
Release files for pyipf 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyipf-0.1.0.tar.gz | 7.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyipf-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:11.5 kB
Release files / pyipf-0.1.0.tar.gz
| Download URL | pyipf-0.1.0.tar.gz |
|---|---|
| Size | 7.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / pyipf-0.1.0-py3-none-any.whl
| Download URL | pyipf-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.11.6
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