Data Access Library
Data access for applications represented using Interface Data Structures (IDSs) or Control Breakdown Structure (CBS).
Requirements
- python <= 3.11
- Dependencies: Managed via pyproject.toml.
Installation
Install the package from PyPi:
pip install iplotDataAccess
Installation with optional dependencies
You can also install optional dependencies (e.g. imaspy and test):
pip install "iplotDataAccess[imaspy, test]"
List of optional dependencies
imaspy: installs required packages.test: installs required packages to run the tests with pytest.
Usage Example
from iplotDataAccess.dataAccess import DataAccess
# Create a DataAccess object
da = DataAccess()
# Example: load data from CODAC UDA source
data_obj = da.get_data("codacuda", varname="IC_ICH1_FAFB_MEAS/phase", tsS="2018-11-21T09:30:00", tsE="2018-11-21T09:45:00", nbp=-1)
print(data_obj.xdata, data_obj.ydata)
Contributing
- Fork it!
- Create your feature branch:
git checkout -b my-new-feature - Commit your changes:
git commit -am 'Add some feature' - Push to the branch:
git push origin my-new-feature - Submit a pull request
1 maintainer
Metadata
1 maintainer
Release files for iplotDataAccess 1.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| iplotdataaccess-1.5.0.tar.gz | 81.2 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| iplotdataaccess-1.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 139.5 kB
Release files / iplotdataaccess-1.5.0.tar.gz
| Download URL | iplotdataaccess-1.5.0.tar.gz |
|---|---|
| Size | 81.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0c2ec8c3a26224b2aa702c0e0b1f8dde8789d8c4dc803cff1e71c7c6ad58d03c
|
|
BLAKE2b-256 checksum How to use checksums |
203bedcc177041fbeeb9534884d47c831e4db3cb1260af6550e9ef0aff765594
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Jul 31, 2026.
Transparency logRelease files / iplotdataaccess-1.5.0-py3-none-any.whl
| Download URL | iplotdataaccess-1.5.0-py3-none-any.whl |
|---|---|
| Size | 58.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
36d2501f449f2e6935da192435641bf63ae64db5f14c3bf48b2393f66bf86531
|
|
BLAKE2b-256 checksum How to use checksums |
3fb678f00618dacb805eea0edc2d7d6660d364ba62bb1258d8b69360e37d0bb4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Jul 31, 2026.
Transparency logSecurity for iplotDataAccess 1.5.0
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 iplotdataaccess-1.5.0.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 Jul 31, 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.
