Introduction
Data science typically involves data, analysis, tests and outputs. A simple way to review, verify or present results is via Visualizations.
Plotly Dash is selected to help prepare and present visualizations in a single dashboard. The key is to help present results in a organized manner to avoid
Summary
A library is under development to standardize this. See dashhtmlgrid
#TODO
- A decidated plotly visualization library is required to help develop faster custom plotting
- The data provided to charts should be dedicated dfs with simple configuration files
Usage
- Prepare data
-
Define html div matrix using app layout (based on expected outputs). Some examples are:
- Utilize standard elements to plug into each matrix divs charts, tables
The library currently supports:
- 1 dropdown menu box (with only 1 input field)
- multiple tables
- multiple plots
Example codes
- Dropdown, multiple option selection. Example is given below:
Code file: src\dashhtmlgrid\tests\test_dropdown_multiple_options.py
- Dropdown - Single selection. Example is given below:
Drag value - Circular Callback
CSS templates
https://towardsdatascience.com/how-to-embed-bootstrap-css-js-in-your-python-dash-app-8d95fc9e599e
References
https://pypi.org/project/dash/ https://www.statworx.com/en/content-hub/blog/how-to-build-a-dashboard-in-python-plotly-dash-step-by-step-tutorial/ https://chart-studio.plotly.com/dashboard/PythonPlotBot:540/present#/
20 line code dashboard tutorial
Metadata
Release files for dashhtmlgrid 0.1.0
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 |
|---|---|---|---|---|
| dashhtmlgrid-0.1.0.tar.gz | 15.2 kB | Without provenance | Details for dashhtmlgrid-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| dashhtmlgrid-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for dashhtmlgrid-0.1.0-py3-none-any.whl |
Total release size: 36.5 kB
Release files / dashhtmlgrid-0.1.0.tar.gz
| Download URL | dashhtmlgrid-0.1.0.tar.gz |
|---|---|
| Size | 15.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
946626ebc68da9a1c1458311544b2e6c177f56f22193468ff3c6914325100ebb
|
|
BLAKE2b-256 checksum How to use checksums |
34fe0c7fb3443a3642b2e636f763c7fc4ebb4aeecc1aaeee2e02e19d5d58aae6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
|
Release files / dashhtmlgrid-0.1.0-py3-none-any.whl
| Download URL | dashhtmlgrid-0.1.0-py3-none-any.whl |
|---|---|
| Size | 21.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4953f13144726333dd978a804cc98f32b337fb38b6c14e2af4b60b2e607ef0a0
|
|
BLAKE2b-256 checksum How to use checksums |
2b4c337012ed63cf5def77ac9ac49f4741a14c5c1b7c1b96774bf87c7d7f0048
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
|
Security for dashhtmlgrid 0.1.0
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.