The full documentation is available at https://qa4sm-preprocessing.readthedocs.io
This package contains functions to preprocess certain data before using them in the QA4SM online validation framework.
Find the following examples as ipython notebooks under docs/examples
Example 1: Custom time series upload
Example 2: Images to Time series conversion
Example 3: Spatial Averaging
Note
This project has been set up using PyScaffold 4.0.2. For details and usage information on PyScaffold see https://pyscaffold.org/.
Release files for qa4sm-preprocessing 0.6.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| qa4sm_preprocessing-0.6.3.tar.gz | 23.7 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qa4sm_preprocessing-0.6.3-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 46.7 MB
Release files / qa4sm_preprocessing-0.6.3.tar.gz
| Download URL | qa4sm_preprocessing-0.6.3.tar.gz |
|---|---|
| Size | 23.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
44e8c98ea9f695c6c7bbdec00df3575ac651c9cc6bc434af22daaa822723ff6a
|
|
BLAKE2b-256 checksum How to use checksums |
f6542ae7cb096c105f8cf2ba410195d815bbf39bf2746d6751cf368f772684c5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.20
|
Release files / qa4sm_preprocessing-0.6.3-py2.py3-none-any.whl
| Download URL | qa4sm_preprocessing-0.6.3-py2.py3-none-any.whl |
|---|---|
| Size | 23.0 MB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
d01d77a9a23eeb8f4d80eafe1111d7dfbfd24003c705ee01317a9503f3783cd2
|
|
BLAKE2b-256 checksum How to use checksums |
93b9a880d4db136fbd8e6c8ea010af7d00a635d7126a90abd3113f389fe19e94
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.20
|
Security for qa4sm-preprocessing 0.6.3
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A 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.
