https://github.com/marcontk/perl-plotly-examples
Interactive Plotly examples in Perl using Jupyter and the iPerl kernel. Includes basic plots, map visualizations, and 3D plots — all rendered from Perl. Edited in VSCode on macOS Sonoma.
https://github.com/marcontk/perl-plotly-examples
iperl pdl perl plotly
Last synced: about 1 month ago
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Interactive Plotly examples in Perl using Jupyter and the iPerl kernel. Includes basic plots, map visualizations, and 3D plots — all rendered from Perl. Edited in VSCode on macOS Sonoma.
- Host: GitHub
- URL: https://github.com/marcontk/perl-plotly-examples
- Owner: marcontk
- License: mit
- Created: 2025-04-02T02:45:38.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-10-29T01:34:55.000Z (8 months ago)
- Last Synced: 2025-10-29T03:26:23.192Z (8 months ago)
- Topics: iperl, pdl, perl, plotly
- Language: Jupyter Notebook
- Homepage: https://nbviewer.org/github/marcontk/Perl-Plotly-examples/blob/main/perl_plot_examples.ipynb
- Size: 611 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Plotly Examples in Perl using iPerl (Jupyter)
This repository showcases interactive data visualization using Perl in Jupyter Notebooks through the iPerl kernel. It includes three examples that demonstrate how to generate web-based interactive plots with Plotly from Perl.
The notebook `perl_plot_examples.ipynb` was edited in **Visual Studio Code (VSCode)** using the [iPerl Jupyter kernel plugin](https://github.com/EntropyOrg/p5-Devel-IPerl). The environment used was macOS Sonoma 14.7.4.
## 📦 Requirements
- Perl 5.x
- [iPerl](https://metacpan.org/pod/IPerl) ([GitHub repo](https://github.com/EntropyOrg/p5-Devel-IPerl))
- JupyterLab or VSCode with Jupyter extension
- CPAN modules:
- `Chart::Plotly`
- `PDL`
- `Dash` (optional, for advanced dashboards)
---
## 📈 Example 1: Simple Plot with Plotly
A basic interactive line plot using `Chart::Plotly::Plot`.
**Perl snippet:**
```perl
use Chart::Plotly qw(show_plot);
use Chart::Plotly::Plot;
use Chart::Plotly::Trace::Scatter;
my $trace = Chart::Plotly::Trace::Scatter->new(
x => [0 .. 10],
y => [ map { $_**2 } 0 .. 10 ],
mode => 'lines+markers'
);
my $plot = Chart::Plotly::Plot->new(traces => [$trace]);
show_plot($plot);
```
---
## 🗺️ Example 2: Interactive Map with Scattermapbox
An interactive geographic plot using `Scattermapbox`. It shows points based on latitude/longitude.
**Perl snippet:**
```perl
use Chart::Plotly::Plot;
use Chart::Plotly::Trace::Scattermapbox;
my $trace = Chart::Plotly::Trace::Scattermapbox->new(
lat => ["-33.45"],
lon => ["-70.66"],
mode => 'markers',
marker => { size => 14 },
text => ["Santiago"]
);
my $plot = Chart::Plotly::Plot->new(
traces => [$trace],
layout => {
mapbox => { style => "open-street-map", center => { lat => -33.45, lon => -70.66 }, zoom => 5 },
margin => { t => 0, b => 0, l => 0, r => 0 }
}
);
Chart::Plotly::show_plot($plot);
```
---
## 🌐 Example 3: 3D Interactive Plot (Scatter3d)
Generates a 3D scatter plot with Plotly.
**Perl snippet:**
```perl
use Chart::Plotly::Plot;
use Chart::Plotly::Trace::Scatter3d;
my $trace = Chart::Plotly::Trace::Scatter3d->new(
x => [1 .. 10],
y => [ map { $_**0.5 } 1 .. 10 ],
z => [ map { $_**1.5 } 1 .. 10 ],
mode => 'markers',
marker => { size => 4, color => [1 .. 10], colorscale => 'Viridis' }
);
my $plot = Chart::Plotly::Plot->new(traces => [$trace]);
Chart::Plotly::show_plot($plot);
```
---
## 🖼️ Preview
Example of Plotly output from Perl (interactive 3D plot):
---
## 📂 Files
- `perl_plot_examples.ipynb`: Jupyter notebook with all examples
## 💡 ¿Cómo ejecutar este notebook?
Este notebook está hecho en Perl usando el kernel IPerl.
Puedes ejecutarlo localmente con los siguientes pasos:
1. Instala Perl y `cpanm` (si aún no lo tienes):
```bash
curl -L https://cpanmin.us | perl - App::cpanminus
2. Instala los módulos necesarios
cpanm Devel::IPerl Chart::Plotly
3. Abre el notebook en Visual Studio Code
• Instala la extensión Jupyter en VSCode.
• Asegúrate de tener el kernel IPerl instalado.
• Abre el archivo .ipynb y selecciona el kernel Perl.
También puedes usar jupyter notebook desde terminal si prefieres Jupyter clásico.
## 📄 License
MIT License