Manipulate and Visualize Time Series Collections
An open-source Python library for Data Scientists to efficiently manipulate collections of time series data. Features include data loading, transformation, persistence, and visualization.
- Documentation: https://elehcimd.github.io/cumulative
- Source code: https://github.com/elehcimd/cumulative (License: BSD 3-Clause)
- Discussions: Ask questions, share ideas, engage
- Funding: You can star the project on GitHub and hire me to make sense of your time series.
Metadata
Release files for cumulative 0.1.23
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 |
|---|---|---|---|---|
| cumulative-0.1.23.tar.gz | 155.3 kB | Without provenance | Details for cumulative-0.1.23.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cumulative-0.1.23-py3-none-any.whl | Python 3 | none | any | Details for cumulative-0.1.23-py3-none-any.whl |
Total release size: 323.2 kB
Release files / cumulative-0.1.23.tar.gz
| Download URL | cumulative-0.1.23.tar.gz |
|---|---|
| Size | 155.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.2 CPython/3.10.7 Darwin/23.6.0
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Release files / cumulative-0.1.23-py3-none-any.whl
| Download URL | cumulative-0.1.23-py3-none-any.whl |
|---|---|
| Size | 167.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.2 CPython/3.10.7 Darwin/23.6.0
|
Security for cumulative 0.1.23
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