{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Preamble" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from plotapi import Terminus\n", "\n", "Terminus.set_license(\"your username\", \"your license key\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction\n", "\n", "Let's take a look at the `bundled` parameter. This will group together the input, giving the impression that they are entering through the same _pipe_.\n", "\n", "As we can see, we have set our license details in the preamble with `Terminus.set_license()`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Dataset" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Terminus expects a `list` of `dictionary` items, these will define the flow of pixels between a `source` and a `target`." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "links = [\n", " {\"source\":\"England\", \"target\":\"Germany\", \"value\": 1000},\n", " {\"source\":\"England\", \"target\":\"France\", \"value\": 3000},\n", " {\"source\":\"England\", \"target\":\"Spain\", \"value\": 5000},\n", " {\"source\":\"England\", \"target\":\"Italy\", \"value\": 4000},\n", " {\"source\":\"England\", \"target\":\"Japan\", \"value\": 800},\n", "\n", " \n", " {\"source\":\"Ireland\", \"target\":\"Germany\", \"value\": 3500},\n", " {\"source\":\"Ireland\", \"target\":\"France\", \"value\": 3750},\n", " {\"source\":\"Ireland\", \"target\":\"Spain\", \"value\": 1750},\n", " {\"source\":\"Ireland\", \"target\":\"Italy\", \"value\": 5000},\n", " {\"source\":\"Ireland\", \"target\":\"Japan\", \"value\": 400},\n", "]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can add many `source`'s and `target`'s! As they increase, we may need to adjust Terminus layout properties to accomodate the diagram's size and throughput." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Visualisation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To enable bundled pipes, all we need to do is set `bundled` to `True`.\n", "\n", "Here we're using `.show()` which outputs to a Jupyter Notebook cell, however, we may want to output to a HTML file with `.to_html()` instead. More on the different output methods later!
" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", " \n", " \n", " Plotapi - Terminus Diagram\n", " \n", " \n", " \n", "\n", " \n", "
\n", " \n", " \n", "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "Terminus(links, bundled=True).show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can do so much more than what's presented in this example, and this is covered in other sections. If you want to see the full list of growing features, check out the Plotapi API Documentation." ] } ], "metadata": { "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": "3.9.1" } }, "nbformat": 4, "nbformat_minor": 4 }