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Ioannis Giagkiozis
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jupyter evcxr kernel example
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‎.gitignore

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target/
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.idea
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Cargo.lock
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gh-pages/
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gh-pages/
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Untitled.ipynb

‎CHANGELOG.md

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@@ -11,6 +11,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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- Annotations support (TODO add link to documentation and examples).
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- Docstrings.
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- `ndarray` support (TODO add link to documentation and examples).
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- Jupyter lab support (TODO add link to documentation and examples).
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### Changed
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- Removed `num` dependence.
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- Removed `plotly_orca` and the `orca` feature. Use the `kaleido` feature for static image generation.

‎plotly/examples/jupyterlab_examples.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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":dep plotly = { git = \"https://github.com/igiagkiozis/plotly.git\", branch = \"dev\", features = [\"kaleido\", \"ndarray\"] }\n",
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":dep itertools-num = \"0.1.3\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"extern crate plotly;\n",
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"extern crate rand_distr;\n",
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"extern crate itertools_num;\n",
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"extern crate itertools;"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"use itertools_num::linspace;\n",
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"use plotly::common::{\n",
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" ColorScale, ColorScalePalette, DashType, Fill, Font, Line, LineShape, Marker, Mode, Title,\n",
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"};\n",
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"use plotly::layout::{Axis, BarMode, Layout, Legend, TicksDirection};\n",
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"use plotly::{Bar, NamedColor, Plot, Rgb, Rgba, Scatter};\n",
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"use rand_distr::{Distribution, Normal, Uniform};"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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"fn simple_scatter_plot(show: bool) {\n",
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" let n: usize = 100;\n",
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" let t: Vec<f64> = linspace(0., 10., n).collect();\n",
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" let y: Vec<f64> = t.iter().map(|x| x.sin()).collect();\n",
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"\n",
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" let trace = Scatter::new(t, y).mode(Mode::Markers);\n",
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" let mut plot = Plot::new();\n",
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" plot.add_trace(trace);\n",
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" let layout = Layout::new().height(800);\n",
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" plot.set_layout(layout);\n",
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" plot.show_jupyter();\n",
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"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div id=\"UEE9DFbjdI6e5d1V2pRR\" class=\"plotly-graph-div\" style=\"height:100%; width:100%;\"></div>\n",
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"<script type=\"text/javascript\">\n",
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" window.PLOTLYENV=window.PLOTLYENV || {};\n",
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" if (document.getElementById(\"UEE9DFbjdI6e5d1V2pRR\")) {\n",
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" var d3 = Plotly.d3;\n",
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" var image_element= d3.select('#image-export');\n",
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" var trace_0 = {\"type\":\"scatter\",\"mode\":\"markers\",\"x\":[0.0,0.10101010101010101,0.20202020202020202,0.30303030303030304,0.40404040404040403,0.5050505050505051,0.6060606060606061,0.7070707070707071,0.8080808080808081,0.9090909090909091,1.0101010101010102,1.1111111111111112,1.2121212121212122,1.3131313131313131,1.4141414141414141,1.5151515151515151,1.6161616161616161,1.7171717171717171,1.8181818181818181,1.9191919191919191,2.0202020202020203,2.121212121212121,2.2222222222222223,2.323232323232323,2.4242424242424243,2.525252525252525,2.6262626262626263,2.727272727272727,2.8282828282828283,2.929292929292929,3.0303030303030303,3.131313131313131,3.2323232323232323,3.3333333333333335,3.4343434343434343,3.5353535353535355,3.6363636363636362,3.7373737373737375,3.8383838383838382,3.9393939393939394,4.040404040404041,4.141414141414141,4.242424242424242,4.343434343434343,4.444444444444445,4.545454545454545,4.646464646464646,4.747474747474747,4.848484848484849,4.94949494949495,5.05050505050505,5.151515151515151,5.252525252525253,5.353535353535354,5.454545454545454,5.555555555555555,5.656565656565657,5.757575757575758,5.858585858585858,5.959595959595959,6.0606060606060606,6.161616161616162,6.262626262626262,6.363636363636363,6.4646464646464645,6.565656565656566,6.666666666666667,6.767676767676767,6.8686868686868685,6.96969696969697,7.070707070707071,7.171717171717171,7.2727272727272725,7.373737373737374,7.474747474747475,7.575757575757575,7.6767676767676765,7.777777777777778,7.878787878787879,7.979797979797979,8.080808080808081,8.181818181818182,8.282828282828282,8.383838383838384,8.484848484848484,8.585858585858587,8.686868686868687,8.787878787878787,8.88888888888889,8.98989898989899,9.09090909090909,9.191919191919192,9.292929292929292,9.393939393939394,9.494949494949495,9.595959595959595,9.696969696969697,9.797979797979798,9.8989898989899,10.0],\"x0\":null,\"dx\":null,\"y\":[0.0,0.1008384202581046,0.2006488565226854,0.2984138044476411,0.3931366121483298,0.48385164043793466,0.5696341069089657,0.6496095135057065,0.7229625614794605,0.7889454628442574,0.8468855636029834,0.8961922010299563,0.9363627251042848,0.9669876227092996,0.9877546923600838,0.9984522269003895,0.9989711717233568,0.9893062365143401,0.9695559491823237,0.9399216514301312,0.9007054462029555,0.8523071179396752,0.7952200570230491,0.7300262299764464,0.6573902466827755,0.5780525851065732,0.4928220425889235,0.40256749066949654,0.30820901749007684,0.2107085480771929,0.11106003812412972,0.010279341240534697,-0.09060614703340773,-0.19056796287548539,-0.28858705872043244,-0.38366419180611233,-0.47483011082223947,-0.5611554368152017,-0.6417601376193878,-0.7158224992291902,-0.7825875026542022,-0.8413745208608701,-0.8915842573351402,-0.9327048555318336,-0.9643171169287782,-0.9860987744909296,-0.9978277779792126,-0.9993845576124357,-0.9907532430056771,-0.9720218249588334,-0.9433812584459996,-0.9051235159501367,-0.8576386109880517,-0.8014106221689697,-0.7370127583189133,-0.6651015149788224,-0.586409981847235,-0.5017403693939113,-0.4119558308308628,-0.31797166281061867,-0.22074597455506334,-0.12126992053716677,-0.020557596287260064,0.08036429967028173,0.18046693235991093,0.27872981867755725,0.37415123057121996,0.4657584070256517,0.5526174707464059,0.6338429484489058,0.7086067976992182,0.7761468482835805,0.8357745720522589,0.8868821020290788,0.9289484292312513,0.9615447140268235,0.9843386578838236,0.9970978909438748,0.9996923408861117,0.9920955589323228,0.9743849894755358,0.9467411805833543,0.9094459434244625,0.8628794793817836,0.8075165041395626,0.7439214082568444,0.6727425035622647,0.5947054140244975,0.510605678474283,0.4213006405886069,0.32770070881349983,0.23076007532505177,0.13146698864295842,0.03083367906114098,-0.07011396040064677,-0.1703468323280965,-0.26884312591038406,-0.3645987336558887,-0.45663748763377376,-0.5440211108893698],\"y0\":null,\"dy\":null,\"meta\":null,\"custom_data\":null};\n",
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"var data = [trace_0];\n",
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"var layout = {\"height\":800};\n",
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" Plotly.newPlot('UEE9DFbjdI6e5d1V2pRR', data, layout, {\"responsive\": true});\n",
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" };\n",
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"</script>"
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],
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"text/plain": [
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"()"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"simple_scatter_plot(true)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Rust",
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"language": "rust",
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"name": "rust"
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},
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"language_info": {
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"codemirror_mode": "rust",
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"file_extension": ".rs",
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"mimetype": "text/rust",
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"name": "Rust",
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"pygment_lexer": "rust",
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"version": ""
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

‎plotly/src/plot.rs

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}
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}
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pub fn initialize_notebook() {
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println!("EVCXR_BEGIN_CONTENT text/html\n{}\nEVCXR_END_CONTENT", r#"<script src="https://cdn.plot.ly/plotly-1.54.6.min.js" charset="utf-8"></script>"#)
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}
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pub fn show_jupyter(&self) {
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let html = self.to_inline_html(None);
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println!("EVCXR_BEGIN_CONTENT text/html\n{}\nEVCXR_END_CONTENT", html);

‎plotly_kaleido/build.rs

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#[cfg(target_os = "linux")]
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const KALEIDO_URL: &str =
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"https://github.com/plotly/Kaleido/releases/download/v0.0.1/kaleido_linux-0.0.1.zip";
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#[cfg(target_os = "windows")]
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const KALEIDO_URL: &str =
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"https://github.com/plotly/Kaleido/releases/download/v0.0.1/kaleido_win-0.0.1.zip";
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#[cfg(target_os = "macos")]
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const KALEIDO_URL: &str =
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"https://github.com/plotly/Kaleido/releases/download/v0.0.1/kaleido_mac-0.0.1.zip";
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#[cfg(target_os = "linux")]
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const KALEIDO_BIN: &str = "kaleido";
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#[cfg(target_os = "windows")]
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const KALEIDO_BIN: &str = "kaleido.exe";
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#[cfg(target_os = "macos")]
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const KALEIDO_BIN: &str = "kaleido";
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fn extract_zip(p: &PathBuf, zip_file: &PathBuf) -> Result<()> {
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let file = fs::File::open(&zip_file).unwrap();
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let mut archive = zip::ZipArchive::new(file).unwrap();
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dst = dst.parent().unwrap().to_path_buf();
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dst = dst.join("plotly_kaleido");
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let kaleido_binary = dst.join("kaleido").join("bin").join(KALEIDO_BIN);
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if kaleido_binary.exists() {
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return Ok(());
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}
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let kaleido_zip_file = p.join("kaleido.zip");
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let mut cmd = Command::new("cargo")

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