From 867bc0754e31f2281eded6a94ca5b24f87ec41c1 Mon Sep 17 00:00:00 2001 From: drake-stamos Date: Fri, 20 Jan 2023 11:55:42 +0100 Subject: [PATCH 1/3] feat: doc/extension charts --- docs/manuals/gui/extension.md | 83 ++--- docs/manuals/gui/extension_charts.md | 341 ++++++++++++++++++ docs/manuals/gui/images/bar-chart-d.png | Bin 0 -> 123706 bytes docs/manuals/gui/images/bar-chart-l.png | Bin 0 -> 120491 bytes docs/manuals/gui/images/box-plot-d.png | Bin 0 -> 109066 bytes docs/manuals/gui/images/box-plot-l.png | Bin 0 -> 109158 bytes docs/manuals/gui/images/bubble-chart-d.png | Bin 0 -> 146609 bytes docs/manuals/gui/images/bubble-chart-l.png | Bin 0 -> 135120 bytes docs/manuals/gui/images/gantt-chart-d.png | Bin 0 -> 61112 bytes docs/manuals/gui/images/gantt-chart-l.png | Bin 0 -> 61236 bytes docs/manuals/gui/images/histogram-chart-d.png | Bin 0 -> 119309 bytes docs/manuals/gui/images/histogram-chart-l.png | Bin 0 -> 111343 bytes docs/manuals/gui/images/line-chart-d.png | Bin 0 -> 174852 bytes docs/manuals/gui/images/line-chart-l.png | Bin 0 -> 176289 bytes docs/manuals/gui/images/pie-chart-d.png | Bin 0 -> 85535 bytes docs/manuals/gui/images/pie-chart-l.png | Bin 0 -> 86948 bytes 16 files changed, 383 insertions(+), 41 deletions(-) create mode 100644 docs/manuals/gui/extension_charts.md create mode 100644 docs/manuals/gui/images/bar-chart-d.png create mode 100644 docs/manuals/gui/images/bar-chart-l.png create mode 100644 docs/manuals/gui/images/box-plot-d.png create mode 100644 docs/manuals/gui/images/box-plot-l.png create mode 100644 docs/manuals/gui/images/bubble-chart-d.png create mode 100644 docs/manuals/gui/images/bubble-chart-l.png create mode 100644 docs/manuals/gui/images/gantt-chart-d.png create mode 100644 docs/manuals/gui/images/gantt-chart-l.png create mode 100644 docs/manuals/gui/images/histogram-chart-d.png create mode 100644 docs/manuals/gui/images/histogram-chart-l.png create mode 100644 docs/manuals/gui/images/line-chart-d.png create mode 100644 docs/manuals/gui/images/line-chart-l.png create mode 100644 docs/manuals/gui/images/pie-chart-d.png create mode 100644 docs/manuals/gui/images/pie-chart-l.png diff --git a/docs/manuals/gui/extension.md b/docs/manuals/gui/extension.md index 55e6576f0..39eb070eb 100644 --- a/docs/manuals/gui/extension.md +++ b/docs/manuals/gui/extension.md @@ -9,30 +9,30 @@ cases or integrate third-party Web components. One can expand the functionality offered by the base Taipy GUI package to create custom components that can be effortlessly used in pages and shared with the community. -Custom visual elements are grouped into *Element Libraries*, where each element is identified +Custom visual elements are grouped into _Element Libraries_, where each element is identified by its name. An element name must be unique in the context of its library.
Each library also as a name. To insert a custom visual element in a page, you will use the full name of the element: -- `.` in a Markdown page -- `:` in an HTML page +- `.` in a Markdown page +- `:` in an HTML page ## Element Libraries and Custom Elements -An Element Library holds the information necessary to refer to and instantiate custom visual elements. Element libraries can hold several visual element descriptors, and can be packaged +An Element Library holds the information necessary to refer to and instantiate custom visual elements. Element libraries can hold several visual element descriptors, and can be packaged into a standalone Python package that a Taipy GUI application can import or that can be deployed. Here are important things you need to know about element libraries: -- An element library is a Python object that derives from the `ElementLibrary^` class. -- Element libraries have a name (returned by `ElementLibrary.get_name()^`) that is - used to refer to visual elements in page definitions. -- Element libraries hold the set of the elements it holds, as returned by - `ElementLibrary.get_elements()^`. +- An element library is a Python object that derives from the `ElementLibrary^` class. +- Element libraries have a name (returned by `ElementLibrary.get_name()^`) that is + used to refer to visual elements in page definitions. +- Element libraries hold the set of the elements it holds, as returned by + `ElementLibrary.get_elements()^`. You can create an element library by simply instantiating the `ElementLibrary^`, and override the methods that are required. The two mandatory methods to override are -`(ElementLibrary.)get_name()^` and `(ElementLibrary.)get_elements()^`: +`(ElementLibrary.)get_name()^` and `(ElementLibrary.)get_elements()^`: ```py from taipy.gui.extension import ElementLibrary @@ -55,7 +55,7 @@ Other methods can be overridden if necessary, which will be discussed later in t As we have seen, custom visual element descriptors are associated with the name of the element as it appears in pages, in the `(ElementLibrary.)get_elements()^` method. -The [`Element` constructor](Element.__init__()^) needs a description of all the properties +The [`Element` constructor]() needs a description of all the properties that this element holds, as well as how this element is rendered. ```py @@ -76,8 +76,8 @@ All elements must indicate what is its default property name. That is used in Ma page as the first fragment of the `<|...|>` construct, or the value located in the text part of an element tag in HTML pages. -Of course *default_property_name* must be one of the keys of the properties dictionary -provided to the [`Element` constructor](Element.__init__()^). +Of course _default_property_name_ must be one of the keys of the properties dictionary +provided to the [`Element` constructor](). ## Rendering Elements @@ -85,33 +85,33 @@ The Taipy GUI Extension package provides two different ways to implement the ren of the element and its interactions. Both approaches deliver HTML fragments that are inserted in the page when it is requested. -- Static elements.
- A static visual element is one that cannot interact with the underlying application. - It can be used just like any other element in a page, but its properties are not - bound to the application variable: if the variable value is modified, it does not - modify the representation of the element on the page.
- Static elements are implemented by creating a string that holds the XHTML text (that is, - HTML that respects the XML syntax, where all tags must be closed) that is inserted in - the page displayed by the browser.
- Please go to the [Static Elements Example](extension_static_element.md) page for - a complete description of how to implement your own static custom elements. - -- Dynamic elements.
- Dynamic elements provide the binding functionality of Taipy GUI: if a property value - depends on an application variable (and if the property type is *dynamic*) then the - page automatically updates when the variable value changes.
- In Taipy GUI, dynamic visual element are implemented using the - [React](https://reactjs.org/) JavaScript library, and the - [TypeScript](https://www.typescriptlang.org/) programming language (that builds on - JavaScript). +- Static elements.
+ A static visual element is one that cannot interact with the underlying application. + It can be used just like any other element in a page, but its properties are not + bound to the application variable: if the variable value is modified, it does not + modify the representation of the element on the page.
+ Static elements are implemented by creating a string that holds the XHTML text (that is, + HTML that respects the XML syntax, where all tags must be closed) that is inserted in + the page displayed by the browser.
+ Please go to the [Static Elements Example](extension_static_element.md) page for + a complete description of how to implement your own static custom elements. + +- Dynamic elements.
+ Dynamic elements provide the binding functionality of Taipy GUI: if a property value + depends on an application variable (and if the property type is _dynamic_) then the + page automatically updates when the variable value changes.
+ In Taipy GUI, dynamic visual element are implemented using the + [React](https://reactjs.org/) JavaScript library, and the + [TypeScript](https://www.typescriptlang.org/) programming language (that builds on + JavaScript). ## Prerequisites In order to create and use custom visual elements, you need to install: -- Taipy GUI 2.0 or higher (included in Taipy and Taipy Enterprise). -- Python 3.8 or higher. -- NodeJS (and NPM) if you plan to create dynamic custom visual elements. +- Taipy GUI 2.0 or higher (included in Taipy and Taipy Enterprise). +- Python 3.8 or higher. +- NodeJS (and NPM) if you plan to create dynamic custom visual elements. A basic knowledge of React (that we use with TypeScript) is welcome. @@ -129,9 +129,10 @@ complete explanation of what part of the Extension API is used. Each example addresses specific areas of the extension API. You should be able to make you way from one example to the next. -- [Custom static element](extension_static_element.md) -- [Accessing assets](extension_assets.md) -- [Custom dynamic element](extension_dynamic_element.md) -- [Using List of Values](extension_list_of_values.md) -- [Using tabular data](extension_data.md) -- [Packaging an element library](extension_packaging.md) +- [Custom static element](extension_static_element.md) +- [Accessing assets](extension_assets.md) +- [Custom dynamic element](extension_dynamic_element.md) +- [Using List of Values](extension_list_of_values.md) +- [Using tabular data](extension_data.md) +- [Using Charts](extension_charts.md) +- [Packaging an element library](extension_packaging.md) diff --git a/docs/manuals/gui/extension_charts.md b/docs/manuals/gui/extension_charts.md new file mode 100644 index 000000000..112090830 --- /dev/null +++ b/docs/manuals/gui/extension_charts.md @@ -0,0 +1,341 @@ +# Creating Charts + +In this section, we will create a custom visual element that displays a chart. Charts will be implemented using the [Plotly](https://plotly.com) library. + +## Installing Plotly packages + +Go to the `[your_extension_directory]/demo_lib/frontend` directory and install the following Plotly packages: + +```bash +npm install --save-dev plotly.js +npm install --save-dev react-plotly.js +npm install --save-dev @types/react-plotly.js +``` + +Also don't forget to increase size limit and add the following in `webpack.config.js`: + +```javascript +module.exports = { + ... + performance: { + hints: false, + maxAssetSize: 50000, + maxEntrypointSize: 50000, + }, + plugins: [ + ... + new webpack.optimize.LimitChunkCountPlugin({ + maxChunks: 1, + }), + ], + ... +} +``` + +## Defining the chart element properties + +```python +class DemoLibrary(ElementLibrary): + elts = { + "chart": Element( + "data", + { + "data": ElementProperty(PropertyType.dict), + "layout": ElementProperty(PropertyType.dict), + "config": ElementProperty(PropertyType.dict), + }, + react_component="DemoChart", # <--- This is the component's name that we will create. + ), + } + + def get_name(self) -> str: + return "demo_library" + + def get_elements(self) -> dict: + return DemoLibrary.elts + + def get_scripts(self) -> list[str]: + # Only one JavaScript bundle for this library. + return ["demo_lib/frontend/dist/demo.js"] +``` + +- `data`: The data to display in the chart. This is a dictionary type that is passed to the `data` prop of the `Plot` component. + +- `layout`: The layout of the chart. This is a dictionary type that is passed to the `layout` prop of the `Plot` component. + +- `config`: The configuration of the chart. This is a dictionary type that is passed to the `config` prop of the `Plot` component. + +- `type`: defines overall default type of the chart + +## Creating the React component + +```tsx +const Plot = lazy(() => import("react-plotly.js")); + +interface Props { + data: string | undefined; + defaultData: string; + layout: string | undefined; + type: PlotType | undefined; + config: string | undefined; +} + +export default function DemoChart(props: Props) { + const plotlyMain = useMemo(() => { + const data: Data[] = JSON.parse(props?.data || props.defaultData).map((d: Data) => { + return { + ...d, + type: props?.type || d.type, + }; + }); + const layout = JSON.parse(props?.layout || "{}") as Partial; + const config = JSON.parse(props?.config || "{}") as Partial; + + return { data, layout, config }; + }, [props.data, props.layout, props.config]); + + const { data, layout, config } = plotlyMain; + + return ( + Loading...

}> + +
+ ); +} +``` + +As you can see we are parsing incoming props before passing them to our `Plot` component. This is because `dict` types come as strings. We are also using `Suspense` in order to show a loading message while the component is being loaded. This is a good practice when using `lazy` components. + +## Chart Usage + +Now we can use our chart element in our application. Let's create different types of charts. + +### Line Chart + +```python +trace1 = {"x": [1, 2, 3, 4], "y": [10, 15, 13, 17], "mode": "markers"} + +trace2 = {"x": [2, 3, 4, 5], "y": [16, 5, 11, 9], "mode": "lines"} + +trace3 = {"x": [1, 2, 3, 4], "y": [12, 9, 15, 12], "mode": "lines+markers"} + +layout = {"title": "Line and Scatter Plot"} + +data = [trace1, trace2, trace3] + +md = """ +# Line chart +<|{data}|demo_library.chart|layout={layout}|> +""" +``` + +- since we provided `data` as the default property we don't need specify the name of the property when using the element. + +![Line Chart Light](./images/line-chart-l.png) +![Line Chart Dark](./images/line-chart-d.png) + +### Bar Chart + +```python +trace1 = { + "x": ["giraffes", "orangutans", "monkeys"], + "y": [20, 14, 23], + "name": "SF Zoo", + "type": "bar", +} + + +trace2 = { + "x": ["giraffes", "orangutans", "monkeys"], + "y": [12, 18, 29], + "name": "LA Zoo", + "type": "bar", +} + + +data = [ + trace1, + trace2, +] + +layout = { + "barmode": "group", +} + +md = """ +# Bar chart + +<|{data}|demo_library.chart|layout={layout}|> +""" +``` + +![Bar Chart Light](./images/bar-chart-l.png) +![Bar Chart Dark](./images/bar-chart-d.png) + +### Pie Chart + +```python +data = [ + { + "type": "pie", + "values": [2, 3, 4, 4], + "labels": ["Wages", "Operating expenses", "Cost of sales", "Insurance"], + "textinfo": "label+percent", + "textposition": "outside", + "automargin": True, + } +] + + +layout = { + "width": 500, + "height": 500, + "margin": {"t": 0, "b": 0, "l": 0, "r": 0}, + "showlegend": False +} + +md = """ +# Pie Chart + +<|{data}|demo_library.chart|layout={layout}|> +""" +``` + +![Pie Chart Light](./images/pie-chart-l.png) +![Pie Chart Dark](./images/pie-chart-d.png) + +### Bubble Chart + +```python +trace1 = { + "x": [1, 2, 3, 4], + "y": [10, 11, 12, 13], + "mode": "markers", + "marker": { + "color": [ + "rgb(93, 164, 214)", + "rgb(255, 144, 14)", + "rgb(44, 160, 101)", + "rgb(255, 65, 54)", + ], + "opacity": [1, 0.8, 0.6, 0.4], + "size": [40, 60, 80, 100], + }, +} + + +data = [ + trace1, +] + +layout = { + "title": "Marker Size and Color", +} + +md = """ +# Bubble chart + +<|{data}|demo_library.chart|layout={layout}|> +""" +``` + +![Bubble Chart Light](./images/bubble-chart-l.png) +![Bubble Chart Dark](./images/bubble-chart-d.png) + +## Histogram Chart + +```python +trace1 = { + "x": [random.random() for i in range(500)], + "type": "histogram", +} + +trace2 = { + "x": [random.random() for i in range(500)], + "type": "histogram", +} + + +data = [ + trace1, + trace2, +] + +layout = { + "barmode": "stack", +} + +md = """ +# Histogram chart + +<|{data}|demo_library.chart|layout={layout}|> +""" +``` + +![Histogram Chart Light](./images/histogram-chart-l.png) +![Histogram Chart Dark](./images/histogram-chart-d.png) + +## Box Plots + +```python +trace1 = { + "x": [random.random() for i in range(50)], + "type": "box", +} + +trace2 = { + "x": [random.random() + 1 for i in range(50)], + "type": "box", +} + + +data = [ + trace1, + trace2, +] + +md = """ +# Box plot + +<|{data}|demo_library.chart|> +""" +``` + +![Box Plot Light](./images/box-plot-l.png) +![Box Plot Dark](./images/box-plot-d.png) + +## Gantt Chart + +```python +ganttdata = [ + { + "x": ["Task 1", "Task 2", "Task 3"], + "y": [1, 2, 3], + "type": "bar", + "name": "Tasks", + "marker": {"color": "rgb(55, 83, 109)"}, + "orientation": "h", + } +] + +ganttlayout = { + "xaxis": { + "ticktext": ["Task 1", "Task 2", "Task 3"], + "tickvals": [1, 2, 3], + "showgrid": True, + "zeroline": True, + }, + "yaxis": {"title": "Duration (days)", "showgrid": True, "zeroline": True}, +} + +md = """ +# Gantt chart + +<|{ganttdata}|demo_library.chart|layout={ganttlayout}|> +""" +``` + +![Gantt Chart Light](./images/gantt-chart-l.png) +![Gantt Chart Dark](./images/gantt-chart-d.png) + +You can find more of these examples in the in [Plotly's Website](https://plotly.com/javascript/) diff --git a/docs/manuals/gui/images/bar-chart-d.png 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--git a/docs/manuals/gui/extension_charts.md b/docs/manuals/gui/extension_charts.md index 112090830..efd6cc205 100644 --- a/docs/manuals/gui/extension_charts.md +++ b/docs/manuals/gui/extension_charts.md @@ -72,24 +72,25 @@ class DemoLibrary(ElementLibrary): ```tsx const Plot = lazy(() => import("react-plotly.js")); -interface Props { - data: string | undefined; +interface DemoChartProps { + data?: string; defaultData: string; - layout: string | undefined; - type: PlotType | undefined; - config: string | undefined; + layout?: string; + type?: PlotType; + config?: string; } -export default function DemoChart(props: Props) { +export default function DemoChart(props: DemoChartProps) { const plotlyMain = useMemo(() => { const data: Data[] = JSON.parse(props?.data || props.defaultData).map((d: Data) => { return { ...d, + // if overall chart type is not specified, use the type of the data in the data series type: props?.type || d.type, }; }); - const layout = JSON.parse(props?.layout || "{}") as Partial; - const config = JSON.parse(props?.config || "{}") as Partial; + const layout: Partial = JSON.parse(props?.layout || "{}"); + const config: Partial = JSON.parse(props?.config || "{}"); return { data, layout, config }; }, [props.data, props.layout, props.config]); From a6111aeb5c263b4271210bc2216d3e155d322c5c Mon Sep 17 00:00:00 2001 From: namnguyen Date: Wed, 18 Dec 2024 14:06:06 +0700 Subject: [PATCH 3/3] docs for Chart --- docs/manuals/gui/extension.md | 0 docs/manuals/gui/extension_charts.md | 342 ----------------------- docs/userman/gui/extension/chart.md | 184 ++++++++++++ docs/userman/gui/extension/dashboard.png | Bin 0 -> 14345 bytes docs/userman/gui/extension/index.md | 1 + mkdocs.yml_template | 1 + 6 files changed, 186 insertions(+), 342 deletions(-) delete mode 100644 docs/manuals/gui/extension.md delete mode 100644 docs/manuals/gui/extension_charts.md create mode 100644 docs/userman/gui/extension/chart.md create mode 100644 docs/userman/gui/extension/dashboard.png diff --git a/docs/manuals/gui/extension.md b/docs/manuals/gui/extension.md deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/manuals/gui/extension_charts.md b/docs/manuals/gui/extension_charts.md deleted file mode 100644 index efd6cc205..000000000 --- a/docs/manuals/gui/extension_charts.md +++ /dev/null @@ -1,342 +0,0 @@ -# Creating Charts - -In this section, we will create a custom visual element that displays a chart. Charts will be implemented using the [Plotly](https://plotly.com) library. - -## Installing Plotly packages - -Go to the `[your_extension_directory]/demo_lib/frontend` directory and install the following Plotly packages: - -```bash -npm install --save-dev plotly.js -npm install --save-dev react-plotly.js -npm install --save-dev @types/react-plotly.js -``` - -Also don't forget to increase size limit and add the following in `webpack.config.js`: - -```javascript -module.exports = { - ... - performance: { - hints: false, - maxAssetSize: 50000, - maxEntrypointSize: 50000, - }, - plugins: [ - ... - new webpack.optimize.LimitChunkCountPlugin({ - maxChunks: 1, - }), - ], - ... -} -``` - -## Defining the chart element properties - -```python -class DemoLibrary(ElementLibrary): - elts = { - "chart": Element( - "data", - { - "data": ElementProperty(PropertyType.dict), - "layout": ElementProperty(PropertyType.dict), - "config": ElementProperty(PropertyType.dict), - }, - react_component="DemoChart", # <--- This is the component's name that we will create. - ), - } - - def get_name(self) -> str: - return "demo_library" - - def get_elements(self) -> dict: - return DemoLibrary.elts - - def get_scripts(self) -> list[str]: - # Only one JavaScript bundle for this library. - return ["demo_lib/frontend/dist/demo.js"] -``` - -- `data`: The data to display in the chart. This is a dictionary type that is passed to the `data` prop of the `Plot` component. - -- `layout`: The layout of the chart. This is a dictionary type that is passed to the `layout` prop of the `Plot` component. - -- `config`: The configuration of the chart. This is a dictionary type that is passed to the `config` prop of the `Plot` component. - -- `type`: defines overall default type of the chart - -## Creating the React component - -```tsx -const Plot = lazy(() => import("react-plotly.js")); - -interface DemoChartProps { - data?: string; - defaultData: string; - layout?: string; - type?: PlotType; - config?: string; -} - -export default function DemoChart(props: DemoChartProps) { - const plotlyMain = useMemo(() => { - const data: Data[] = JSON.parse(props?.data || props.defaultData).map((d: Data) => { - return { - ...d, - // if overall chart type is not specified, use the type of the data in the data series - type: props?.type || d.type, - }; - }); - const layout: Partial = JSON.parse(props?.layout || "{}"); - const config: Partial = JSON.parse(props?.config || "{}"); - - return { data, layout, config }; - }, [props.data, props.layout, props.config]); - - const { data, layout, config } = plotlyMain; - - return ( - Loading...

}> - - - ); -} -``` - -As you can see we are parsing incoming props before passing them to our `Plot` component. This is because `dict` types come as strings. We are also using `Suspense` in order to show a loading message while the component is being loaded. This is a good practice when using `lazy` components. - -## Chart Usage - -Now we can use our chart element in our application. Let's create different types of charts. - -### Line Chart - -```python -trace1 = {"x": [1, 2, 3, 4], "y": [10, 15, 13, 17], "mode": "markers"} - -trace2 = {"x": [2, 3, 4, 5], "y": [16, 5, 11, 9], "mode": "lines"} - -trace3 = {"x": [1, 2, 3, 4], "y": [12, 9, 15, 12], "mode": "lines+markers"} - -layout = {"title": "Line and Scatter Plot"} - -data = [trace1, trace2, trace3] - -md = """ -# Line chart -<|{data}|demo_library.chart|layout={layout}|> -""" -``` - -- since we provided `data` as the default property we don't need specify the name of the property when using the element. - -![Line Chart Light](./images/line-chart-l.png) -![Line Chart Dark](./images/line-chart-d.png) - -### Bar Chart - -```python -trace1 = { - "x": ["giraffes", "orangutans", "monkeys"], - "y": [20, 14, 23], - "name": "SF Zoo", - "type": "bar", -} - - -trace2 = { - "x": ["giraffes", "orangutans", "monkeys"], - "y": [12, 18, 29], - "name": "LA Zoo", - "type": "bar", -} - - -data = [ - trace1, - trace2, -] - -layout = { - "barmode": "group", -} - -md = """ -# Bar chart - -<|{data}|demo_library.chart|layout={layout}|> -""" -``` - -![Bar Chart Light](./images/bar-chart-l.png) -![Bar Chart Dark](./images/bar-chart-d.png) - -### Pie Chart - -```python -data = [ - { - "type": "pie", - "values": [2, 3, 4, 4], - "labels": ["Wages", "Operating expenses", "Cost of sales", "Insurance"], - "textinfo": "label+percent", - "textposition": "outside", - "automargin": True, - } -] - - -layout = { - "width": 500, - "height": 500, - "margin": {"t": 0, "b": 0, "l": 0, "r": 0}, - "showlegend": False -} - -md = """ -# Pie Chart - -<|{data}|demo_library.chart|layout={layout}|> -""" -``` - -![Pie Chart Light](./images/pie-chart-l.png) -![Pie Chart Dark](./images/pie-chart-d.png) - -### Bubble Chart - -```python -trace1 = { - "x": [1, 2, 3, 4], - "y": [10, 11, 12, 13], - "mode": "markers", - "marker": { - "color": [ - "rgb(93, 164, 214)", - "rgb(255, 144, 14)", - "rgb(44, 160, 101)", - "rgb(255, 65, 54)", - ], - "opacity": [1, 0.8, 0.6, 0.4], - "size": [40, 60, 80, 100], - }, -} - - -data = [ - trace1, -] - -layout = { - "title": "Marker Size and Color", -} - -md = """ -# Bubble chart - -<|{data}|demo_library.chart|layout={layout}|> -""" -``` - -![Bubble Chart Light](./images/bubble-chart-l.png) -![Bubble Chart Dark](./images/bubble-chart-d.png) - -## Histogram Chart - -```python -trace1 = { - "x": [random.random() for i in range(500)], - "type": "histogram", -} - -trace2 = { - "x": [random.random() for i in range(500)], - "type": "histogram", -} - - -data = [ - trace1, - trace2, -] - -layout = { - "barmode": "stack", -} - -md = """ -# Histogram chart - -<|{data}|demo_library.chart|layout={layout}|> -""" -``` - -![Histogram Chart Light](./images/histogram-chart-l.png) -![Histogram Chart Dark](./images/histogram-chart-d.png) - -## Box Plots - -```python -trace1 = { - "x": [random.random() for i in range(50)], - "type": "box", -} - -trace2 = { - "x": [random.random() + 1 for i in range(50)], - "type": "box", -} - - -data = [ - trace1, - trace2, -] - -md = """ -# Box plot - -<|{data}|demo_library.chart|> -""" -``` - -![Box Plot Light](./images/box-plot-l.png) -![Box Plot Dark](./images/box-plot-d.png) - -## Gantt Chart - -```python -ganttdata = [ - { - "x": ["Task 1", "Task 2", "Task 3"], - "y": [1, 2, 3], - "type": "bar", - "name": "Tasks", - "marker": {"color": "rgb(55, 83, 109)"}, - "orientation": "h", - } -] - -ganttlayout = { - "xaxis": { - "ticktext": ["Task 1", "Task 2", "Task 3"], - "tickvals": [1, 2, 3], - "showgrid": True, - "zeroline": True, - }, - "yaxis": {"title": "Duration (days)", "showgrid": True, "zeroline": True}, -} - -md = """ -# Gantt chart - -<|{ganttdata}|demo_library.chart|layout={ganttlayout}|> -""" -``` - -![Gantt Chart Light](./images/gantt-chart-l.png) -![Gantt Chart Dark](./images/gantt-chart-d.png) - -You can find more of these examples in the in [Plotly's Website](https://plotly.com/javascript/) diff --git a/docs/userman/gui/extension/chart.md b/docs/userman/gui/extension/chart.md new file mode 100644 index 000000000..c0d73157a --- /dev/null +++ b/docs/userman/gui/extension/chart.md @@ -0,0 +1,184 @@ +# Chart + +In this section, we’ll dive into creating and integrating charts using [`Plotly`](https://plotly.com/graphing-libraries/) in your extension library. +Charts are invaluable for visualizing data, offering clear and interactive insights that enhance the user experience. +We’ll walk through the steps to implement different types of charts, configure their properties, +and seamlessly embed them into your application. + +## Prerequisites + +Before you start creating charts, ensure you have the following prerequisites: + +- **Install the necessary libraries:** To use Plotly.js with React, you’ll need to install the react-plotly.js library. + + ```bash + $ npm install react-plotly.js plotly.js + ``` + +!!!Note + When using TypeScript, you’ll need to install the type definitions for Plotly.js as well. + + ```bash + $ npm install --dev @types/react-plotly.js + ``` + +## Declaring the element {data-source="gui:doc/extension/example_library/example_library.py#L69"} + +To create a chart element, you need to define the element in your extension library. + +```python title="example_library.py" +from taipy.gui.extension import Element, ElementLibrary, ElementProperty, PropertyType + +class ExampleLibrary(ElementLibrary): + def __init__(self) -> None: + # Initialize the set of visual elements for this extension library + self.elements = { + "dashboard": Element( + "data", + { + "data": ElementProperty(PropertyType.dict), + "layout": ElementProperty(PropertyType.dict), + }, + ) + } +``` + +The detailed explanation of the code is as follows: + +- The *dashboard* element includes two properties: *data* and *layout*. +- The *data* property has the type `PropertyType.dict`, meaning it holds a dictionary of data. +- The *layout* property has the type `PropertyType.dict`, meaning it holds a dictionary of layout properties. + +## Creating the React component {data-source="gui:doc/extension/example_library/front-end/src/Dashboard.tsx"} + +The React component for the *dashboard* element is defined as follows: + +```tsx title="Dashboard.tsx" +import React, { useMemo } from "react"; +import { useDynamicJsonProperty, } from "taipy-gui"; + +import Plot from "react-plotly.js"; +import { Data, Layout } from "plotly.js"; + +interface DashboardProps { + data?: string; + defaultData?: string; + layout?: string; + defaultLayout?: string; +} + +const Dashboard = (props: DashboardProps) => { + const value = useDynamicJsonProperty(props.data, props.defaultData || "", {} as Partial); + const dashboardLayout = useDynamicJsonProperty(props.layout, props.defaultLayout || "", {} as Partial); + + const data = useMemo(() => { + if (Array.isArray(value)) { + return value as Data[]; + } + return [] as Data[]; + }, [value]); + + const baseLayout = useMemo(() => { + const layout = { + ...dashboardLayout, + }; + return layout as Partial; + }, [dashboardLayout]); + + return ( +
+ +
+ ); +}; + +export default Dashboard; +``` + +The detailed explanation of the code is as follows: + +- The **Dashboard** component accepts two props: *data* and *layout*. +- The [`useDynamicJsonProperty()`](../../../refmans/reference_guiext/functions/useDynamicJsonProperty.md) hook is used to handle dynamic properties. It accepts the following arguments: + + - *data*: The dynamic property that holds the data for the chart. + - *defaultData*: The default value for the data property. + - *layout*: The dynamic property that holds the layout properties for the chart. + - *defaultLayout*: The default value for the layout property. + +- The **Plot** component utilizes the [`react-plotly.js`](https://github.com/plotly/react-plotly.js) library to render the chart. It accepts two props: + + - *data*: An array of data objects to define the chart's datasets. + - *layout*: An object specifying the layout properties of the chart. + +For more information on how to use `react-plotly.js`, refer to the official documentation [here](https://github.com/plotly/react-plotly.js). + + + +## Exporting the React component {data-source="gui:doc/extension/example_library/front-end/src/index.ts"} + +When the component is entirely defined, it must be exported by the library's JavaScript bundle. +This is done by adding the export directive in the file */front-end/src/index.ts*. + +```ts title="index.ts" +import Dashboard from "./Dashboard"; + +export { Dashboard }; +``` + +## Configuring the webpack configuration {data-source="gui:doc/extension/example_library/front-end/webpack.config.js#L39"} + +To bundle the React component, you must configure the webpack configuration file. +Since Plotly.js is a JavaScript library, you need to include JavaScript in the webpack’s resolve.extensions setting. + +```js title="webpack.config.js" +module.exports = { + // ... + resolve: { + extensions: [".ts", ".tsx", ".js"], + }, + // ... +}; +``` + +After configuring the webpack file, you can build the library as mentioned in the [Building the front-end module](dynamic_element/index.md) section. + +## Using the element {data-source="gui:doc/extension/example_library/dashboard.py"} + +To use the *dashboard* element in a Python script, you can follow the example below: + +```python title="dashboard.py" +trace1 = { + "x": [1, 2, 3, 4, 4, 4, 8, 9, 10], + "type": "box", + "name": "Set 1" +} + +trace2 = { + "x": [2, 3, 3, 3, 3, 5, 6, 6, 7], + "type": "box", + "name": "Set 2" +} + +data = [trace1, trace2] + +layout = { + "title": { + "text": "Horizontal Box Plot" + } +} + +page = """ +<|{data}|dashboard|layout={layout}|> +""" +``` + +In this example, we define two traces and a layout for a horizontal box plot. +When you run the script, the *dashboard* element will display like this: + +
+ Horizontal Box Plot +
Horizontal Box Plot
+
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z{cDvFLOBV(m^43+`ovhxTCHYYartM$^MAr%YnMj<3U9}+dlP5h1UXq}hx^`b1zUeg F_&4olix2<+ literal 0 HcmV?d00001 diff --git a/docs/userman/gui/extension/index.md b/docs/userman/gui/extension/index.md index 8967c9866..32e6769a8 100644 --- a/docs/userman/gui/extension/index.md +++ b/docs/userman/gui/extension/index.md @@ -232,5 +232,6 @@ make your way from one example to the next. - [Using scalar properties](dynamic_element/scalar_props.md) - [Using List of Values](list_of_values.md) - [Using tabular data](tabular_data.md) +- [Using charts](chart.md) - [Accessing assets](accessing_assets.md) - [Packaging an element library](extension_packaging.md) diff --git a/mkdocs.yml_template b/mkdocs.yml_template index f458b6d15..3c2f477dc 100644 --- a/mkdocs.yml_template +++ b/mkdocs.yml_template @@ -102,6 +102,7 @@ nav: - "Scalar properties": userman/gui/extension/dynamic_element/scalar_props.md - "List of Values Elements": userman/gui/extension/list_of_values.md - "Tabular Elements": userman/gui/extension/tabular_data.md + - "Chart Elements": userman/gui/extension/chart.md - "Accessing assets": userman/gui/extension/accessing_assets.md - "Packaging extensions": userman/gui/extension/extension_packaging.md

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