dash app tiles

Author: nicolaskruchten

doc/python/axes.md

@@ -29,7 +29,7 @@ jupyter:
     language: python
     layout: base
     name: Axes
-    order: 13
+    order: 14
     permalink: python/axes/
     thumbnail: thumbnail/axes.png
 ---
@@ -777,4 +777,4 @@ fig.show()
 
 #### Reference
 
-See https://plotly.com/python/reference/layout/xaxis/ and https://plotly.com/python/reference/layout/yaxis/ for more information and chart attribute options!
+See https://plotly.com/python/reference/layout/xaxis/ and https://plotly.com/python/reference/layout/yaxis/ for more information and chart attribute options!

doc/python/builtin-colorscales.md

@@ -30,7 +30,7 @@ jupyter:
     language: python
     layout: base
     name: Built-in Continuous Color Scales
-    order: 27
+    order: 28
     permalink: python/builtin-colorscales/
     thumbnail: thumbnail/heatmap_colorscale.jpg
     v4upgrade: true

doc/python/colorscales.md

@@ -30,7 +30,7 @@ jupyter:
     language: python
     layout: base
     name: Continuous Color Scales and Color Bars
-    order: 20
+    order: 21
     permalink: python/colorscales/
     redirect_from: python/logarithmic-color-scale/
     thumbnail: thumbnail/heatmap_colorscale.jpg
@@ -557,4 +557,4 @@ fig.show()
 
 ### Reference
 
-See https://plotly.com/python/reference/ for more information and chart attribute options!
+See https://plotly.com/python/reference/ for more information and chart attribute options!

doc/python/configuration-options.md

@@ -28,7 +28,7 @@ jupyter:
     language: python
     layout: base
     name: Configuration
-    order: 9
+    order: 10
     page_type: u-guide
     permalink: python/configuration-options/
     thumbnail: thumbnail/modebar-icons.png
@@ -299,4 +299,4 @@ The same configuration dictionary that you pass to the `config` parameter of the
 
 #### Reference
 
-See config options at https://github.com/plotly/plotly.js/blob/master/src/plot_api/plot_config.js#L6
+See config options at https://github.com/plotly/plotly.js/blob/master/src/plot_api/plot_config.js#L6

doc/python/creating-and-updating-figures.md

@@ -652,4 +652,4 @@ fig.data[0].marker.line.width = 4
 fig.data[0].marker.line.color = "black"
 
 fig.show()
-```
+```

doc/python/dash.md

@@ -0,0 +1,35 @@
+---
+jupyter:
+  jupytext:
+    notebook_metadata_filter: all
+    text_representation:
+      extension: .md
+      format_name: markdown
+      format_version: '1.2'
+      jupytext_version: 1.3.1
+  kernelspec:
+    display_name: Python 3
+    language: python
+    name: python3
+  language_info:
+    codemirror_mode:
+      name: ipython
+      version: 3
+    file_extension: .py
+    mimetype: text/x-python
+    name: python
+    nbconvert_exporter: python
+    pygments_lexer: ipython3
+    version: 3.6.8
+  plotly:
+    description: Analytical Apps with Dash
+    display_as: file_settings
+    language: python
+    layout: base
+    name: Analytical Apps with Dash
+    order: 5
+    page_type: example_index
+    permalink: https://dash.plotly.com/
+    sitemap: false
+    thumbnail: thumbnail/dash_apps.png
+---

doc/python/discrete-color.md

@@ -30,7 +30,7 @@ jupyter:
     language: python
     layout: base
     name: Discrete Colors
-    order: 28
+    order: 29
     permalink: python/discrete-color/
     thumbnail: thumbnail/heatmap_colorscale.jpg
     v4upgrade: true

doc/python/figure-factories.md

@@ -28,7 +28,7 @@ jupyter:
     language: python
     layout: base
     name: Figure Factories
-    order: 32
+    order: 33
     permalink: python/figure-factories/
     thumbnail: thumbnail/streamline.jpg
 ---
@@ -56,4 +56,4 @@ Deprecated "legacy" Figure Factories include:
 
 #### Reference
 
-For more information about the contents of `plotly.figure_factory`, including deprecated methods, please refer to our [API Reference documentation](https://plotly.com/python-api-reference/plotly.figure_factory.html).
+For more information about the contents of `plotly.figure_factory`, including deprecated methods, please refer to our [API Reference documentation](https://plotly.com/python-api-reference/plotly.figure_factory.html).

doc/python/figure-labels.md

@@ -28,7 +28,7 @@ jupyter:
     language: python
     layout: base
     name: Setting the Font, Title, Legend Entries, and Axis Titles
-    order: 12
+    order: 13
     permalink: python/figure-labels/
     redirect_from: python/font/
     thumbnail: thumbnail/figure-labels.png
@@ -147,4 +147,4 @@ fig.show()
 ```
 
 #### Reference
-See https://plotly.com/python/reference/layout/ for more information!
+See https://plotly.com/python/reference/layout/ for more information!

doc/python/figure-structure.md

@@ -192,4 +192,4 @@ Traces which support [continuous color](/python/colorscales/) can also be associ
 
 ```python
 
-```
+```

doc/python/graph-objects.md

@@ -27,7 +27,7 @@ jupyter:
     language: python
     layout: base
     name: Graph Objects
-    order: 34
+    order: 35
     page_type: u-guide
     permalink: python/graph-objects/
     thumbnail: thumbnail/horizontal-bar.jpg
@@ -88,4 +88,4 @@ fig.update_layout(legend_title_text = "Contestant")
 fig.update_xaxes(title_text="Fruit")
 fig.update_yaxes(title_text="Number Eaten")
 fig.show()
-```
+```

doc/python/graphing-multiple-chart-types.md

@@ -27,7 +27,7 @@ jupyter:
     language: python
     layout: base
     name: Multiple Chart Types
-    order: 17
+    order: 18
     page_type: u-guide
     permalink: python/graphing-multiple-chart-types/
     thumbnail: thumbnail/multiple-chart-type.jpg
@@ -121,4 +121,4 @@ fig.show()
 ```
 
 #### Reference
-See https://plotly.com/python/reference/ for more information and attribute options!
+See https://plotly.com/python/reference/ for more information and attribute options!

doc/python/hover-text-and-formatting.md

@@ -27,7 +27,7 @@ jupyter:
     language: python
     layout: base
     name: Hover Text and Formatting
-    order: 22
+    order: 23
     permalink: python/hover-text-and-formatting/
     thumbnail: thumbnail/hover-text.png
 ---
@@ -404,4 +404,4 @@ fig.show()
 
 #### Reference
 
-See https://plotly.com/python/reference/ for more information and chart attribute options!
+See https://plotly.com/python/reference/ for more information and chart attribute options!

doc/python/images.md

@@ -27,7 +27,7 @@ jupyter:
     language: python
     layout: base
     name: Images
-    order: 23
+    order: 24
     permalink: python/images/
     thumbnail: thumbnail/images.png
     v4upgrade: true

doc/python/interactive-html-export.md

@@ -28,7 +28,7 @@ jupyter:
     language: python
     layout: base
     name: Interactive HTML Export
-    order: 30
+    order: 31
     page_type: u-guide
     permalink: python/interactive-html-export/
     thumbnail: thumbnail/static-image-export.png

doc/python/ipython-vs-python.md

@@ -27,7 +27,7 @@ jupyter:
     language: python
     layout: base
     name: IPython vs Python
-    order: 25
+    order: 26
     permalink: python/ipython-vs-python/
     thumbnail: thumbnail/venn.jpg
 ---

doc/python/legend.md

@@ -27,7 +27,7 @@ jupyter:
     language: python
     layout: base
     name: Legends
-    order: 14
+    order: 15
     permalink: python/legend/
     redirect_from: python/horizontal-legend/
     thumbnail: thumbnail/legends.gif
@@ -419,4 +419,4 @@ fig.show()
 
 #### Reference
 
-See https://plotly.com/python/reference/layout/#layout-legend for more information!
+See https://plotly.com/python/reference/layout/#layout-legend for more information!

doc/python/marker-style.md

@@ -27,7 +27,7 @@ jupyter:
     language: python
     layout: base
     name: Styling Markers
-    order: 19
+    order: 20
     permalink: python/marker-style/
     thumbnail: thumbnail/marker-style.gif
 ---

doc/python/ml-knn.md

@@ -321,4 +321,4 @@ Learn more about `px`, `go.Contour`, and `go.Heatmap` here:
 This tutorial was inspired by amazing examples from the official scikit-learn docs:
 * https://scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html
 * https://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html
-* https://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html
+* https://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html

doc/python/ml-pca.md

@@ -262,4 +262,4 @@ The following resources offer an in-depth overview of PCA and explained variance
 * https://scikit-learn.org/stable/modules/decomposition.html#pca
 * https://stats.stackexchange.com/questions/2691/making-sense-of-principal-component-analysis-eigenvectors-eigenvalues/140579#140579
 * https://stats.stackexchange.com/questions/143905/loadings-vs-eigenvectors-in-pca-when-to-use-one-or-another
-* https://stats.stackexchange.com/questions/22569/pca-and-proportion-of-variance-explained
+* https://stats.stackexchange.com/questions/22569/pca-and-proportion-of-variance-explained

doc/python/ml-regression.md

@@ -534,4 +534,4 @@ Learn more about the Machine Learning models used in this tutorial:
 Other tutorials that inspired this notebook:
 * https://seaborn.pydata.org/examples/residplot.html
 * https://scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_model_selection.html
-* http://www.scikit-yb.org/zh/latest/api/regressor/peplot.html
+* http://www.scikit-yb.org/zh/latest/api/regressor/peplot.html

doc/python/ml-roc-pr.md

@@ -272,4 +272,4 @@ fig.show()
 Learn more about `px`, `px.area`, `px.hist`:
 * https://plot.ly/python/histograms/
 * https://plot.ly/python/filled-area-plots/
-* https://plot.ly/python/line-charts/
+* https://plot.ly/python/line-charts/

doc/python/ml-tsne-umap-projections.md

@@ -176,4 +176,4 @@ Details about algorithms:
 * t-SNE User guide: https://scikit-learn.org/stable/modules/manifold.html#t-sne
 * t-SNE paper: https://www.jmlr.org/papers/volume9/vandermaaten08a/vandermaaten08a.pdf
 * MNIST: http://yann.lecun.com/exdb/mnist/
-<!-- #endregion -->
+<!-- #endregion -->

doc/python/ml_apps.md

@@ -0,0 +1,35 @@
+---
+jupyter:
+  jupytext:
+    notebook_metadata_filter: all
+    text_representation:
+      extension: .md
+      format_name: markdown
+      format_version: '1.2'
+      jupytext_version: 1.3.1
+  kernelspec:
+    display_name: Python 3
+    language: python
+    name: python3
+  language_info:
+    codemirror_mode:
+      name: ipython
+      version: 3
+    file_extension: .py
+    mimetype: text/x-python
+    name: python
+    nbconvert_exporter: python
+    pygments_lexer: ipython3
+    version: 3.6.8
+  plotly:
+    description: AI/ML Apps with Dash
+    display_as: ai_ml
+    language: python
+    layout: base
+    name: Analytical Apps with Dash
+    order: 6
+    page_type: example_index
+    permalink: https://plotly.com/building-machine-learning-web-apps-in-python/
+    sitemap: false
+    thumbnail: thumbnail/ml_apps.png
+---

doc/python/multiple-axes.md

@@ -28,7 +28,7 @@ jupyter:
     language: python
     layout: base
     name: Multiple Axes
-    order: 15
+    order: 16
     permalink: python/multiple-axes/
     thumbnail: thumbnail/multiple-axes.jpg
 ---
@@ -233,4 +233,4 @@ fig.show()
 ```
 
 #### Reference
-All of the y-axis properties are found here: https://plotly.com/python/reference/YAxis/.  For more information on creating subplots see the [Subplots in Python](/python/subplots/) section.
+All of the y-axis properties are found here: https://plotly.com/python/reference/YAxis/.  For more information on creating subplots see the [Subplots in Python](/python/subplots/) section.

doc/python/orca-management.md

@@ -28,7 +28,7 @@ jupyter:
     language: python
     layout: base
     name: Orca Management
-    order: 8
+    order: 9
     permalink: python/orca-management/
     thumbnail: thumbnail/orca-management.png
 ---
@@ -263,4 +263,4 @@ In addition to the `executable` property, the `plotly.io.orca.config` object can
 
 
 ### Saving Configuration Settings
-Configuration options can optionally be saved to the `~/.plotly/` directory by calling the `plotly.io.config.save()` method.  Saved setting will be automatically loaded at the start of future sessions.
+Configuration options can optionally be saved to the `~/.plotly/` directory by calling the `plotly.io.config.save()` method.  Saved setting will be automatically loaded at the start of future sessions.

doc/python/pandas-backend.md

@@ -28,7 +28,7 @@ jupyter:
     language: python
     layout: base
     name: Pandas Plotting Backend
-    order: 31
+    order: 32
     permalink: python/pandas-backend/
     redirect_from: python/cufflinks/
     thumbnail: thumbnail/plotly-express.png
@@ -198,4 +198,4 @@ fig.show()
 
 ### What about Cufflinks?
 
-There also exists an independent third-party wrapper library around Plotly called [Cufflinks](https://github.com/santosjorge/cufflinks), which provides similar functionality (with an API closer to that of Pandas' default `matplotlib` backend) by adding a `.iplot()` method to Pandas dataframes, as it was developed before Pandas supported configurable backends. Issues and questions regarding Cufflinks should be [raised in the Cufflinks repository](https://github.com/santosjorge/cufflinks/issues/new).
+There also exists an independent third-party wrapper library around Plotly called [Cufflinks](https://github.com/santosjorge/cufflinks), which provides similar functionality (with an API closer to that of Pandas' default `matplotlib` backend) by adding a `.iplot()` method to Pandas dataframes, as it was developed before Pandas supported configurable backends. Issues and questions regarding Cufflinks should be [raised in the Cufflinks repository](https://github.com/santosjorge/cufflinks/issues/new).

doc/python/plotly-express.md

@@ -416,4 +416,4 @@ df = px.data.election()
 fig = px.scatter_ternary(df, a="Joly", b="Coderre", c="Bergeron", color="winner", size="total", hover_name="district",
                    size_max=15, color_discrete_map = {"Joly": "blue", "Bergeron": "green", "Coderre":"red"} )
 fig.show()
-```
+```

doc/python/px-arguments.md

@@ -27,7 +27,7 @@ jupyter:
     language: python
     layout: base
     name: Plotly Express Arguments
-    order: 18
+    order: 19
     page_type: u-guide
     permalink: python/px-arguments/
     thumbnail: thumbnail/plotly-express.png
@@ -243,4 +243,4 @@ fig = px.bar(df, x='year', y=gdp, color='continent', labels={'y':'log gdp'},
              hover_data=['country'],
              title='Evolution of world GDP')
 fig.show()
-```
+```