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Rust plotting library using Python (Matplotlib)

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cpmech/plotpy

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Introduction

This crate implements high-level functions to generate plots and drawings. Although we use Python/Matplotlib, the goal is to provide a convenient Rust library that isdifferent than Matplotlib. The difference happens because we wantconvenience for the Rust developer while getting thefantastic quality of Matplotlib 😀.

Plotpy is more verbose than Matplotlib because we aim to minimize the need to memorize the functionality by taking advantage of the intelligence of the IDE (e.g., VS Code) on auto-completing the code.

Internally, we useMatplotlib via a Python 3 script. First, we generate a python code in a directory of your choice (e.g.,/tmp/plotpy), and then we callpython3 using Rust'sstd::process::Command.

For more information (and examples), check out theplotpy documentation on docs.rs.

See also theexamples directory with the output of theintegration tests.

Installation

This code is mainly tested on Debian/Ubuntu/Linux.

This crate needs Python3 and Matplotlib, of course.

On Debian/Ubuntu/Linux, run:

sudo apt install python3-matplotlib

Important: The Rust code will callpython3 viastd::process::Command. However, there is an option to call a different python executable; for instance (the code below is no tested):

let mut plot = Plot::new();plot.set_python_exe("C:\Windows11\WhereIs\python.exe")    .add(...)    .save(...)?;

Setting Cargo.toml

Crates.io

👆 Check the crate version and update your Cargo.toml accordingly:

[dependencies]plotpy ="*"

Use of Jupyter via evcxr

Plotpy can be used with Jupyter viaevcxr. Thus, it can interactively display the plots in a Jupyter Notebook. This feature requires the installation ofevcxr. See theJupyter/evcxr article.

The following code shows a minimal example (not tested)

// set the python pathlet python = "where-is-my/python";// set the figure path and name to be savedlet path = "my-figure.svg";// plot and show in a Jupyter notebooklet mut plot = Plot::new();plot.set_python_exe(python)    .set_label_x("x")    .set_label_y("y")    .show_in_jupyter(path)?;

Examples

Barplot

See the documentation

use plotpy::{Barplot,Plot,StrError};fnmain() ->Result<(),StrError>{// datalet fruits =["Apple","Banana","Orange"];let prices =[10.0,20.0,30.0];let errors =[3.0,2.0,1.0];// barplot object and optionsletmut bar =Barplot::new();    bar.set_errors(&errors).set_horizontal(true).set_with_text("edge").draw_with_str(&fruits,&prices);// save figureletmut plot =Plot::new();    plot.set_inv_y().add(&bar).set_title("Fruits").set_label_x("price");// plot.save("/tmp/plotpy/doc_tests/doc_barplot_3.svg")?;Ok(())}

barplot.svg

Boxplot

See the documentation

use plotpy::{Boxplot,Plot,StrError};fnmain() ->Result<(),StrError>{// data (as a nested list)let data =vec![        vec![1,2,3,4,5],// A        vec![2,3,4,5,6,7,8,9,10],// B        vec![3,4,5,6],// C        vec![4,5,6,7,8,9,10],// D        vec![5,6,7],// E];// x ticks and labelslet n = data.len();let ticks:Vec<_> =(1..(n +1)).into_iter().collect();let labels =["A","B","C","D","E"];// boxplot object and optionsletmut boxes =Boxplot::new();    boxes.draw(&data);// save figureletmut plot =Plot::new();    plot.add(&boxes).set_title("boxplot documentation test").set_ticks_x_labels(&ticks,&labels);// plot.save("/tmp/plotpy/doc_tests/doc_boxplot_2.svg")?;Ok(())}

boxplot.svg

Canvas

See the documentation

use plotpy::{Canvas,Plot,PolyCode,StrError};fnmain() ->Result<(),StrError>{// codeslet data =[(3.0,0.0,PolyCode::MoveTo),(1.0,1.5,PolyCode::Curve4),(0.0,4.0,PolyCode::Curve4),(2.5,3.9,PolyCode::Curve4),(3.0,3.8,PolyCode::LineTo),(3.5,3.9,PolyCode::LineTo),(6.0,4.0,PolyCode::Curve4),(5.0,1.5,PolyCode::Curve4),(3.0,0.0,PolyCode::Curve4),];// polycurveletmut canvas =Canvas::new();    canvas.set_face_color("#f88989").set_edge_color("red");    canvas.polycurve_begin();for(x, y, code)in data{        canvas.polycurve_add(x, y, code);}    canvas.polycurve_end(true);// add canvas to plotletmut plot =Plot::new();    plot.add(&canvas);// save figure    plot.set_range(1.0,5.0,0.0,4.0).set_frame_borders(false).set_hide_axes(true).set_equal_axes(true).set_show_errors(true);// plot.save("/tmp/plotpy/doc_tests/doc_canvas_polycurve.svg")?;Ok(())}

canvas.svg

Contour

See the documentation

use plotpy::{generate3d,Contour,Plot,StrError};fnmain() ->Result<(),StrError>{// generate (x,y,z) matriceslet n =21;let(x, y, z) =generate3d(-2.0,2.0, -2.0,2.0, n, n, |x, y| x* x - y* y);// configure contourletmut contour =Contour::new();    contour.set_colorbar_label("temperature").set_colormap_name("terrain").set_selected_level(0.0,true);// draw contour    contour.draw(&x,&y,&z);// add contour to plotletmut plot =Plot::new();    plot.add(&contour).set_labels("x","y");// plot.save("/tmp/plotpy/readme_contour.svg")?;Ok(())}

contour.svg

Curve

See the documentation

use plotpy::{linspace,Curve,Plot,StrError};fnmain() ->Result<(),StrError>{// generate (x,y) pointslet x =linspace(-1.0,1.0,21);let y:Vec<_> = x.iter().map(|v|1.0 /(1.0 + f64::exp(-5.0**v))).collect();// configure curveletmut curve =Curve::new();    curve.set_label("logistic function").set_line_alpha(0.8).set_line_color("#5f9cd8").set_line_style("-").set_line_width(5.0).set_marker_color("#eeea83").set_marker_every(5).set_marker_line_color("#da98d1").set_marker_line_width(2.5).set_marker_size(20.0).set_marker_style("*");// draw curve    curve.draw(&x,&y);// add curve to plotletmut plot =Plot::new();    plot.add(&curve).set_num_ticks_y(11).grid_labels_legend("x","y");// plot.save("/tmp/plotpy/doc_tests/doc_curve.svg")?;Ok(())}

curve.svg

Histogram

See the documentation

use plotpy::{Histogram,Plot,StrError};fnmain() ->Result<(),StrError>{// set valueslet values =vec![        vec![1,1,1,2,2,2,2,2,3,3,4,5,6],// first series        vec![-1, -1,0,1,2,3],// second series        vec![5,6,7,8],// third series];// set labelslet labels =["first","second","third"];// configure and draw histogramletmut histogram =Histogram::new();    histogram.set_colors(&["#9de19a","#e7eca3","#98a7f2"]).set_line_width(10.0).set_stacked(true).set_style("step");    histogram.draw(&values,&labels);// add histogram to plotletmut plot =Plot::new();    plot.add(&histogram).set_frame_border(true,false,true,false).grid_labels_legend("values","count");// plot.save("/tmp/plotpy/doc_tests/doc_histogram.svg")?;Ok(())}

histogram

Image

use plotpy::{Image,Plot,StrError};fnmain() ->Result<(),StrError>{// set valueslet data =[[0.8,2.4,2.5,3.9,0.0,4.0,0.0],[2.4,0.0,4.0,1.0,2.7,0.0,0.0],[1.1,2.4,0.8,4.3,1.9,4.4,0.0],[0.6,0.0,0.3,0.0,3.1,0.0,0.0],[0.7,1.7,0.6,2.6,2.2,6.2,0.0],[1.3,1.2,0.0,0.0,0.0,3.2,5.1],[0.1,2.0,0.0,1.4,0.0,1.9,6.3],];// image plot and optionsletmut img =Image::new();    img.set_colormap_name("hsv").draw(&data);// save figureletmut plot =Plot::new();    plot.add(&img);// plot.save("/tmp/plotpy/doc_tests/doc_image_1.svg")?;Ok(())}

image

InsetAxes

use plotpy::{Curve,InsetAxes,Plot,StrError};fnmain() ->Result<(),StrError>{// draw curveletmut curve =Curve::new();    curve.draw(&[0.0,1.0,2.0],&[0.0,1.0,4.0]);// allocate inset and add curve to itletmut inset =InsetAxes::new();    inset.add(&curve)// add curve to inset.set_range(0.5,1.5,0.5,1.5)// set the range of the inset.draw(0.5,0.5,0.4,0.3);// add curve and inset to plotletmut plot =Plot::new();    plot.add(&curve).set_range(0.0,5.0,0.0,5.0).add(&inset);// IMPORTANT: add inset after setting the range// plot.save("/tmp/plotpy/doc_tests/doc_inset_axes_add.svg")?;Ok(())}

inset_axes

Surface

See the documentation

use plotpy::{Plot,StrError,Surface};fnmain() ->Result<(),StrError>{// starlet r =&[1.0,1.0,1.0];let c =&[-1.0, -1.0, -1.0];let k =&[0.5,0.5,0.5];letmut star =Surface::new();    star.set_colormap_name("jet").draw_superquadric(c, r, k, -180.0,180.0, -90.0,90.0,40,20)?;// pyramidslet c =&[1.0, -1.0, -1.0];let k =&[1.0,1.0,1.0];letmut pyramids =Surface::new();    pyramids.set_colormap_name("inferno").draw_superquadric(c, r, k, -180.0,180.0, -90.0,90.0,40,20)?;// rounded cubelet c =&[-1.0,1.0,1.0];let k =&[4.0,4.0,4.0];letmut cube =Surface::new();    cube.set_surf_color("#ee29f2").draw_superquadric(c, r, k, -180.0,180.0, -90.0,90.0,40,20)?;// spherelet c =&[0.0,0.0,0.0];let k =&[2.0,2.0,2.0];letmut sphere =Surface::new();    sphere.set_colormap_name("rainbow").draw_superquadric(c, r, k, -180.0,180.0, -90.0,90.0,40,20)?;// sphere (direct)letmut sphere_direct =Surface::new();    sphere_direct.draw_sphere(&[1.0,1.0,1.0],1.0,40,20)?;// add features to plotletmut plot =Plot::new();    plot.add(&star).add(&pyramids).add(&cube).add(&sphere).add(&sphere_direct);// save figure    plot.set_equal_axes(true).set_figure_size_points(600.0,600.0);// plot.save("/tmp/plotpy/readme_superquadric.svg")?;Ok(())}

readme_superquadric.svg

Text

use plotpy::{Plot,Text,StrError};use std::path::Path;fnmain() ->Result<(),StrError>{// configure textletmut text =Text::new();    text.set_color("purple").set_align_horizontal("center").set_align_vertical("center").set_fontsize(30.0).set_bbox(true).set_bbox_facecolor("pink").set_bbox_edgecolor("black").set_bbox_alpha(0.3).set_bbox_style("roundtooth,pad=0.3,tooth_size=0.2");// draw text    text.draw_3d(0.5,0.5,0.5,"Hello World!");// add text to plotletmut plot =Plot::new();    plot.add(&text);// plot.save("/tmp/plotpy/doc_tests/doc_text.svg")?;Ok(())}

text

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