lcdata
Tools for manipulating large datasets of astronomical light curves
About
lcdata is a package for manipulating large datasets of astronomical time series. lcdata is designed to handle very large datasets: it uses a compact internal representation to be able to keep many light curves in memory at the same time. For datasets that are too large to fit in memory, it offers the option of reading them from disks in chunks. lcdata also contains tools to download different publicly available releases of astronomical time series.
Installation and Usage
Instructions on how to install and use lcdata can be found on the lcdata
readthedocs page.
Release files for lcdata 1.1.2
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 | Actions |
|---|---|---|---|---|
| lcdata-1.1.2.tar.gz | 129.5 kB | Without provenance | Details for lcdata-1.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| lcdata-1.1.2-py3-none-any.whl | Python 3 | none | any | Details for lcdata-1.1.2-py3-none-any.whl |
Total release size: 258.7 kB
Release files / lcdata-1.1.2.tar.gz
| Download URL | lcdata-1.1.2.tar.gz |
|---|---|
| Size | 129.5 kB |
| 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/4.0.2 CPython/3.11.6
|
Release files / lcdata-1.1.2-py3-none-any.whl
| Download URL | lcdata-1.1.2-py3-none-any.whl |
|---|---|
| Size | 129.2 kB |
| 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/4.0.2 CPython/3.11.6
|
Security for lcdata 1.1.2
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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