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15 changes: 0 additions & 15 deletions doc/python/3d-surface-plots.md
Original file line number Diff line number Diff line change
Expand Up @@ -163,21 +163,6 @@ fig = go.Figure(data=[
fig.show()
```

### Dash Example


[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-3dsurfaceplot) can easily be deployed to a PaaS.

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-3dsurfaceplot/", width="100%", height=950 ,frameBorder="0")
```

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-3dsurfaceplot/code", width="100%", height=500 ,frameBorder="0")
```

#### Reference


Expand Down
15 changes: 0 additions & 15 deletions doc/python/bar-charts.md
Original file line number Diff line number Diff line change
Expand Up @@ -370,21 +370,6 @@ fig.show()

See examples of horizontal bar charts [here](https://plot.ly/python/horizontal-bar-charts/).

### Dash Example

[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-barplot) is also show below and can easily be deployed to a PaaS (platform as a service).

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-barplot/", width="100%", height="650px", frameBorder="0")

```

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-barplot/code", width="80%", height=500, frameBorder="0")
```

### Reference

See https://plot.ly/python/reference/#bar for more information and chart attribute options!
14 changes: 0 additions & 14 deletions doc/python/box-plots.md
Original file line number Diff line number Diff line change
Expand Up @@ -487,20 +487,6 @@ fig.update_layout(
fig.show()
```

### Dash Example

[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-boxplot) can easily be deployed to a PaaS.

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-boxplot/", width="100%", height="650px", frameBorder="0")
```

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-boxplot/code", width="100%", height=500, frameBorder="0")
```

#### Reference

See https://plot.ly/python/reference/#box for more information and chart attribute options!
15 changes: 0 additions & 15 deletions doc/python/candlestick-charts.md
Original file line number Diff line number Diff line change
Expand Up @@ -143,20 +143,5 @@ fig = go.Figure(data=[go.Candlestick(x=dates,
fig.show()
```

### Dash Example


[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-candlestickplot) can easily be deployed to a PaaS.

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-candlestickplot/", width="100%", height="750px", frameBorder="0")
```

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-candlestickplot/code", width="100%", height=500, frameBorder="0")
```

#### Reference
For more information on candlestick attributes, see: https://plot.ly/python/reference/#candlestick
14 changes: 0 additions & 14 deletions doc/python/choropleth-maps.md
Original file line number Diff line number Diff line change
Expand Up @@ -275,20 +275,6 @@ fig.layout.template = None
fig.show()
```

### Dash Example

[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-choroplethplot) can easily be deployed to a PaaS.

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-choroplethplot/", width="100%", height="950px", frameBorder="0")
```

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-choroplethplot/code", width="100%", height=500, frameBorder="0")
```

#### Reference

See https://plot.ly/python/reference/#choropleth for more information and chart attribute options!
15 changes: 0 additions & 15 deletions doc/python/heatmaps.md
Original file line number Diff line number Diff line change
Expand Up @@ -162,20 +162,5 @@ fig.update_layout(
fig.show()
```

### Dash Example


[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its source code can be found [here](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-heatmapplot) and can easily be deployed to a PaaS.

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-heatmapplot/", width="120%", height="650px", frameBorder="0")
```

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-heatmapplot/code", width="120%", height=500, frameBorder="0")
```

#### Reference
See https://plot.ly/python/reference/#heatmap for more information and chart attribute options!
16 changes: 0 additions & 16 deletions doc/python/histograms.md
Original file line number Diff line number Diff line change
Expand Up @@ -373,22 +373,6 @@ fig.update_layout(
fig.show()
```

### Dash Example

[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-histogramplot) can easily be deployed to a PaaS.

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-histogramplot/", width="100%", height="650px", frameBorder="0")

```

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-histogramplot/code", width="100%", height=500, frameBorder="0")

```

#### Reference

See https://plot.ly/python/reference/#histogram for more information and chart attribute options!
15 changes: 0 additions & 15 deletions doc/python/line-and-scatter.md
Original file line number Diff line number Diff line change
Expand Up @@ -274,21 +274,6 @@ fig = go.Figure(data=go.Scattergl(
fig.show()
```

### Dash Example

[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-linescatterplot) can easily be deployed to a PaaS.

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-linescatterplot/", width="100%",height="750px", frameBorder="0")

```

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-linescatterplot/code", width="100%",height=500, frameBorder="0")
```

### Reference

See https://plot.ly/python/reference/#scatter or https://plot.ly/python/reference/#scattergl for more information and chart attribute options!
16 changes: 0 additions & 16 deletions doc/python/line-charts.md
Original file line number Diff line number Diff line change
Expand Up @@ -406,22 +406,6 @@ fig.update_traces(mode='lines')
fig.show()
```

### Dash Example

[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-lineplot) can easily be deployed to a PaaS.

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-lineplot/", width="100%", height="650px", frameBorder="0")

```

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-lineplot/code", width="100%", height=500, frameBorder="0")

```

#### Reference

See https://plot.ly/python/reference/#scatter for more information and chart attribute options!
15 changes: 0 additions & 15 deletions doc/python/pie-charts.md
Original file line number Diff line number Diff line change
Expand Up @@ -276,20 +276,5 @@ fig.show()

```

### Dash Example


[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-pieplot) can easily be deployed to a PaaS.

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-pieplot", width="100%", height="650px" ,frameBorder="0")
```

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-pieplot/code", width="100%", height=500 ,frameBorder="0")
```

#### Reference
See https://plot.ly/python/reference/#pie for more information and chart attribute options!
15 changes: 0 additions & 15 deletions doc/python/table.md
Original file line number Diff line number Diff line change
Expand Up @@ -210,20 +210,5 @@ fig = go.Figure(data=[go.Table(
fig.show()
```

### Dash Example


[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-tableplot) can easily be deployed to a PaaS.

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-tableplot/", width="100%", height="850px", frameBorder="0")
```

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-tableplot/code", width="100%", height=500, frameBorder="0")
```

#### Reference
For more information on tables and table attributes see: https://plot.ly/python/reference/#table.
15 changes: 0 additions & 15 deletions doc/python/time-series.md
Original file line number Diff line number Diff line change
Expand Up @@ -127,20 +127,5 @@ fig.update_layout(title_text='Time Series with Rangeslider',
fig.show()
```

### Dash Example


[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-timeseriesplot) can easily be deployed to a PaaS.

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-timeseriesplot/", width="100%", height="750px", frameBorder="0")
```

```python
from IPython.display import IFrame
IFrame(src= "https://dash-simple-apps.plotly.host/dash-timeseriesplot/code", width="100%", height=500, frameBorder="0")
```

#### Reference
See https://plot.ly/python/reference/#layout-xaxis-rangeslider and<br> https://plot.ly/python/reference/#layout-xaxis-rangeselector for more information and chart attribute options!