The km3flux Python package
About
KM3Flux is a collection of neutrino flux models + assorted utilities for computing event weights.
Install
This is developed on python 3.6. Lower versions (especially py2) might or might not work.
Install the dependencies
numpy
pandas
h5py
pytables
In your python env, do:
pip install km3flux
or just clone the git repository and install via pip install .
Metadata
Release files for km3flux 1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| km3flux-1.0.3.tar.gz | 7.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| km3flux-1.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.7 MB
Release files / km3flux-1.0.3.tar.gz
| Download URL | km3flux-1.0.3.tar.gz |
|---|---|
| Size | 7.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.7.1
|
Release files / km3flux-1.0.3-py3-none-any.whl
| Download URL | km3flux-1.0.3-py3-none-any.whl |
|---|---|
| Size | 8.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.7.1
|