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dash-extendable-graph-1.3.0
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مشاهده بیشترتوضیحات
A Dash Graph component modified to support use of figure.data-structured input to extend and/or add traces.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | dash-extendable-graph-1.3.0 |
| نام | dash-extendable-graph |
| نسخه کتابخانه | 1.3.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Brad Liang |
| ایمیل نویسنده | brad@bliang.com |
| آدرس صفحه اصلی | https://github.com/bcliang/dash-extendable-graph |
| آدرس اینترنتی | https://pypi.org/project/dash-extendable-graph/ |
| مجوز | MIT |
# dash-extendable-graph
`dash-extendable-graph` is a Dash component library containing a single component: `ExtendableGraph`. The component was forked from Plotly's core `Graph` component ([dash-core-components](https://github.com/plotly/dash-core-components)). `dash-extendable-graph` has modified `extendData` and `prependData` properties that accept trace data matching the format for `figure["data"]`. These properties support (1) adding new traces and (2) allow multiple trace types to be extended/prepended within a single callback (not supported by the core component)
Note: As of version 1.1.0, `dash-extendable-graph` includes a minimized plotly.js as an internal dependency. Previously, the component assumed it would be used in conjunction with `dash-core-components`.
[](https://pypi.org/project/dash-extendable-graph/)
[](./LICENSE)
## Installation
Get started with:
1. Install Dash and dependencies: https://dash.plot.ly/installation
```bash
$ pip install -r requirements.txt
```
2. Install dash-extendable-graph
```bash
$ pip install dash-extendable-graph
```
3. Run `python usage.py`
4. Visit http://localhost:8050 in your web browser
## Usage
General examples may be found in `usage.py`
### extendData
1. `updateData` [list]: a list of dictionaries, each dictionary representing trace data in a format matching `figure['data']` (e.g `dict(x=[1], y=[1])`)
2. `traceIndices` [list, optional]: identify the traces that should be extended. If the specified trace index does not exist, a (new) corresponding trace shall be appended to the figure.
3. `maxPoints` [number, optional]: define the maximum number of points to plot in the figure (per trace).
Based on the [`Plotly.extendTraces()` api](https://github.com/plotly/plotly.js/blob/master/src/plot_api/plot_api.js#884). However, the `updateData` key has been modified to better match the contents of `Plotly.plot()` (e.g. `Graph.figure`). Aside from following dash-familiar styling, this component allows the user to extend traces of different types in a single call (`Plotly.extendTraces()` takes a map of key:val and assumes all traces will share the same data keys).
### prependData
1. `updateData` [list]: a list of dictionaries, each dictionary representing trace data in a format matching `figure['data']` (e.g `dict(x=[1], y=[1])`)
2. `traceIndices` [list, optional]: identify the traces that should be extended. If the specified trace index does not exist, a (new) corresponding trace shall be appended to the figure.
3. `maxPoints` [number, optional]: define the maximum number of points to plot in the figure (per trace).
Based on the [`Plotly.prependTraces()` api](https://github.com/plotly/plotly.js/blob/master/src/plot_api/plot_api.js#L942). However, the `updateData` key has been modified to better match the contents of `Plotly.plot()` (e.g. `Graph.figure`). Aside from following dash-familiar styling, this component allows the user to prepend traces of different types in a single call (`Plotly.prependTraces()` takes a map of key:val and assumes all traces will share the same data keys).
### Code
Extend a trace once per second, limited to 100 maximum points.
```python
import dash_extendable_graph as deg
import dash
from dash.dependencies import Input, Output, State
import dash_html_components as html
import dash_core_components as dcc
import random
app = dash.Dash(__name__)
app.scripts.config.serve_locally = True
app.css.config.serve_locally = True
app.layout = html.Div([
deg.ExtendableGraph(
id='extendablegraph_example',
figure=dict(
data=[{'x': [0],
'y': [0],
'mode':'lines+markers'
}],
)
),
dcc.Interval(
id='interval_extendablegraph_update',
interval=1000,
n_intervals=0,
max_intervals=-1),
html.Div(id='output')
])
@app.callback(Output('extendablegraph_example', 'extendData'),
[Input('interval_extendablegraph_update', 'n_intervals')],
[State('extendablegraph_example', 'figure')])
def update_extendData(n_intervals, existing):
x_new = existing['data'][0]['x'][-1] + 1
y_new = random.random()
return [dict(x=[x_new], y=[y_new])], [0], 100
if __name__ == '__main__':
app.run_server(debug=True)
```
## Contributing
See [CONTRIBUTING.md](./CONTRIBUTING.md)
## Local Installation
1. Dependencies
```bash
$ npm install
$ virtualenv venv
$ . venv/bin/activate
$ pip install -r requirements.txt
```
For developers:
```
$ pip install -r tests/requirements.txt
```
2. Build
```bash
$ npm run build
```
3. Check out the component via component-playground
```bash
$ npm run start
```
The demo app is in `src/demo`
4. Check out the sample Dash application using the component
```bash
$ python setup.py install
$ python usage.py
```
## Tests
[](https://lgtm.com/projects/g/bcliang/dash-extendable-graph/context:javascript)
### Run locally
Run linting + integration tests in one command:
```bash
$ npm run test
```
Or run tests individually:
### Code style
Uses `flake8`, `eslint`, and `prettier`. Check `package.json`, `.eslintrc`, `.eslintignore` for configuration settings.
```bash
$ npm run lint
```
Also you can apply formatting settings.
```bash
$ npm run format
```
### Integration Tests
Integration tests for the component can be found in `tests/`
```bash
$ pytest
```
Selenium test runner configuration options are located in `pytest.ini` (e.g. `--webdriver`, `--headless`). See `dash[testing]` documentation for more information on built-ins provided by the dash test fixture.
Run individual integration tests based on the filename.
```bash
$ pytest tests/test_extend_maxpoints.py
```
## Continuous Integration
[](https://github.com/bcliang/dash-extendable-graph/actions/workflows/python-js-package.yml)
This repository uses a github action to automate integration testing. Linting and Tests are triggered for each pull request created in the `master` branch.
## Package Publishing
[](https://github.com/bcliang/dash-extendable-graph/actions/workflows/publish.yml)
This repository uses a github action to automate package deployment (in this case, compiling a source archive and binary wheel using `setuptools`). Publishing is triggered on each published release.
نحوه نصب
نصب پکیج whl dash-extendable-graph-1.3.0:
pip install dash-extendable-graph-1.3.0.whl
نصب پکیج tar.gz dash-extendable-graph-1.3.0:
pip install dash-extendable-graph-1.3.0.tar.gz