Example Package
Given this background and current research and development status, we believe that it is necessary to develop an open-source library for visualizing data in rail transit organization, covering the vast majority of operational data visualization functions in the field of rail transit organization. This will further address the growing volume of transportation data and information, improve transportation research efficiency, and meet standardization requirements This open-source library will not only provide data based drawing functions for rail transit researchers, but also provide more comprehensive and convenient scheduling and planning visualization support for railway industry practitioners based on the needs and application scenarios of the rail transit transportation sector, promoting the digital transformation and innovative development of the rail transit fieldYou can use GitHub-flavored Markdown to write your content.
1 maintainer
Metadata
1 maintainer
Release files for Stock-channel-occupancy-chartRunningTrainsPlot 2024.0.0
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 | Actions |
|---|---|---|---|---|
| stock_channel_occupancy_chartrunningtrainsplot-2024.0.0.tar.gz | 7.1 kB | Without provenance | Details for stock_channel_occupancy_chartrunningtrainsplot-2024.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| Stock_channel_occupancy_chartRunningTrainsPlot-2024.0.0-py3-none-any.whl | Python 3 | none | any | Details for Stock_channel_occupancy_chartRunningTrainsPlot-2024.0.0-py3-none-any.whl |
Total release size: 15.9 kB
Release files / stock_channel_occupancy_chartrunningtrainsplot-2024.0.0.tar.gz
| Download URL | stock_channel_occupancy_chartrunningtrainsplot-2024.0.0.tar.gz |
|---|---|
| Size | 7.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2b7158d465a86a6b1fa14b7cef638111d4f938e84148134d34ebc34cc947193d
|
|
BLAKE2b-256 checksum How to use checksums |
97c3959c9ee75d2aff8b5dd4b5d9cd436519c3b623b59f689d6e0280f840c8c1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.5
|
Release files / Stock_channel_occupancy_chartRunningTrainsPlot-2024.0.0-py3-none-any.whl
| Download URL | Stock_channel_occupancy_chartRunningTrainsPlot-2024.0.0-py3-none-any.whl |
|---|---|
| Size | 8.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
74280a5e5237cb70f3b03ecefe34278eb9f72be55758f907fa900d73567c3c17
|
|
BLAKE2b-256 checksum How to use checksums |
02b707fe92015d237b5354acbb4e9f76fe25a942e209de3bcd270f0f99c36183
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.5
|
Security for Stock-channel-occupancy-chartRunningTrainsPlot 2024.0.0
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.
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.
