hsp2_reader - Quick Guide
The hsp2_reader is a pure Python module and command line script to read HSP2 time-series from HDF5 files.
Installation
pip
pip install hsp2_reader
conda
conda install -c conda-forge hsp2_reader
Usage - Command Line
Just run ‘hsp2_reader –help’ to get a list of subcommands:
usage: hsp2_reader [-h]
{hsp2, about} ...
positional arguments:
{hsp2, about}
hdf5
Read HSP2 results from HDF5 file.
about
Display version number and system information.
optional arguments:
-h, --help show this help message and exit
The output time-series data is printed to the screen and you can then redirect to a file.
Usage - API
You can use all of the command line subcommands as functions. The function signature is identical to the command line subcommands. The return is always a PANDAS DataFrame.
Simply import hsp2_reader:
from hsp2_reader import hsp2_reader
# Then you could call the function
ntsd = hsp2_reader.hdf5("file.h5", "yearly", [,,,"TAET"])
Metadata
Release files for hsp2-reader 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| hsp2_reader-0.1.1.tar.gz | 17.7 MB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hsp2_reader-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.4 MB
Release files / hsp2_reader-0.1.1.tar.gz
| Download URL | hsp2_reader-0.1.1.tar.gz |
|---|---|
| Size | 17.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
af23524d899985ae1b5853816232950c4b0b8f8b86b027214652155a6f9dd6fe
|
|
BLAKE2b-256 checksum How to use checksums |
a751b5c1e5f081d42036ac9ac0aed62e5e2f5af3db30ee117ba56d368f9c3f14
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 30, 2026.
Transparency logRelease files / hsp2_reader-0.1.1-py3-none-any.whl
| Download URL | hsp2_reader-0.1.1-py3-none-any.whl |
|---|---|
| Size | 17.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8ebd95b769365d418064be220787256604dad4ec382f2861890b9ac62e7eff5f
|
|
BLAKE2b-256 checksum How to use checksums |
741fb2712c793e301f1871128dcbf93b12c2bede04e5c9e735ff502ab3ad86a2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 30, 2026.
Transparency logSecurity for hsp2-reader 0.1.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for hsp2_reader-0.1.1.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 30, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.