add downsampling example using minmaxlttb-rs

README.md

@@ -43,6 +43,7 @@
     * [Exporting Static Images with plotly_static (Recommended)](#exporting-static-images-with-plotly_static-recommended)
     * [Exporting Static Images with Kaleido (legacy)](#exporting-static-images-with-kaleido-legacy)
     * [Usage Within a WASM Environment](#usage-within-a-wasm-environment)
+    * [Timeseries Downsampling](#timeseries-downsampling)
 * [Crate Feature Flags](#crate-feature-flags)
 * [Contributing](#contributing)
 * [Code of Conduct](#code-of-conduct)
@@ -222,7 +223,11 @@ pub fn plot_component() -> Html {
 }
 ```
 
-More detailed standalone examples can be found in the [examples/wasm-yew](https://github.com/plotly/plotly.rs/tree/main/examples/wasm-yew) directory.
+## Timeseries Downsampling 
+
+In situations where the number of points of a timeseries is extremely large, generating a plot and visualizing it using plotly will be slow or not possible. 
+
+For such cases, it is ideal to use a downsampling method that preserves the visual characteristics of the timeseries. One such method is to use the Largest Triangle Three Bucket (LTTB) method. The MinMaxLTTB or classical LTTB method can be used to downsample the timeseries prior to generating the static HTML plots. An example of how this can be achieved can be found in [examples/downsampling](https://github.com/plotly/plotly.rs/tree/main/examples/downsampling) directory using the [minmaxlttb-rs](https://github.com/andrei-ng/minmaxlttb-rs) crate.
 
 # Crate Feature Flags
 

docs/book/src/SUMMARY.md

@@ -8,6 +8,7 @@
     - [Shapes](./fundamentals/shapes.md)
     - [Themes](./fundamentals/themes.md)
     - [Static Image Export](./fundamentals/static_image_export.md)
+    - [Timeseries Downsampling](./fundamentals/timeseries_downsampling.md)
 - [Recipes](./recipes.md)
     - [Basic Charts](./recipes/basic_charts.md)
         - [Scatter Plots](./recipes/basic_charts/scatter_plots.md)

docs/book/src/fundamentals.md

@@ -26,4 +26,5 @@ Functionality that applies to the library as a whole is described in the next se
 - **[ndarray Support](./fundamentals/ndarray_support.md)**: Integration with the ndarray crate for numerical computing
 - **[Shapes](./fundamentals/shapes.md)**: Adding shapes and annotations to plots
 - **[Themes](./fundamentals/themes.md)**: Customizing plot appearance with themes
-- **[Static Image Export](./fundamentals/static_image_export.md)**: Exporting plots to static images (PNG, JPEG, SVG, PDF) using WebDriver
+- **[Static Image Export](./fundamentals/static_image_export.md)**: Exporting plots to static images (PNG, JPEG, SVG, PDF) using WebDriver
+- **[Timeseries Downsampling](./fundamentals/timeseries_downsampling.md)**: Downsampling Timeseries for Visualization 

docs/book/src/fundamentals/timeseries_downsampling.md

@@ -0,0 +1,14 @@
+# Timeseries Downsampling 
+
+In situations where the number of points of a timeseries is extremely large, generating a plot and visualizing it using plotly will be slow or not possible.
+
+For such cases, it is ideal to use a downsampling method that preserves the visual characteristics of the timeseries. One such method is to use the Largest Triangle Three Bucket (LTTB) method.
+
+The MinMaxLTTB or classical LTTB method can be used to downsample the timeseries prior to generating the static HTML plots. An example of how this can be achieved can be found in [examples/downsampling](https://github.com/plotly/plotly.rs/tree/main/examples/downsampling) directory using the [minmaxlttb-rs](https://github.com/andrei-ng/minmaxlttb-rs) crate.
+
+
+ For more examples see the [minmaxlttb-rs](https://github.com/andrei-ng/minmaxlttb-rs) crate. 
+
+## Example downsampling
+
+{{#include ../../../../examples/downsampling/output/inline_minmaxlttb_downsampling.html}}

examples/Cargo.toml

@@ -1,11 +1,12 @@
 [workspace]
 members = [
     "3d_charts",
-    "basic_charts", 
+    "basic_charts",
     "custom_controls",
     "customization/consistent_static_format_export",
     "customization/density_mapbox_example",
     "customization/multiple_plots_example",
+    "downsampling",
     "financial_charts",
     "images",
     "kaleido",
@@ -17,6 +18,6 @@ members = [
     "statistical_charts",
     "static_export",
     "subplots",
-    "themes"
+    "themes",
 ]
 resolver = "2"

examples/downsampling/Cargo.toml

@@ -0,0 +1,12 @@
+[package]
+name = "downsampling"
+version = "0.1.0"
+authors = ["Andrei Gherghescu andrei-ng@protonmail.com"]
+edition = "2021"
+
+[dependencies]
+ndarray = "0.16"
+minmaxlttb = "0.1"
+csv = "1.3"
+plotly = { path = "../../plotly" }
+plotly_utils = { path = "../plotly_utils" }