A tool for creating SVG timelines from simple JSON input.

Overview

Timeline

A tool for creating SVG timelines from JSON.

Example

You will be able to create timelines that look like this:

simple timeline example

from JSON that looks like this:

{
	"width" : 750,
	"start" : "Oct 8 2015",
	"end" : "Oct 15 2015",	
	"num_ticks" : 14,
	"tick_format" : "%b %d, %Y - %I:%M%p",
	"callouts" : [
		["ABC easy as 123", "Oct 14, 2015 3pm"],		
		["Midnight Event A", "12am Oct 10, 2015", "#DD0000"],
		["Noon Event A", "12pm Oct 10, 2015"],		
		["5pm Event A", "5pm Oct 10, 2015"],				
		["Something amazing happening", "Oct 11, 2015"],
		["Awesome Event B", "Oct 12, 2015", "#DD0000"],
		["C", "Oct 13, 2015"],
		["Event E", "Oct 14, 2015"]
	],
	"eras" : [
		["Era 1", "12pm Oct 8, 2015", "3am Oct 12, 2015", "#CD3F85"],
		["Era 2", "8am Oct 12, 2015", "12am Oct 15, 2015", "#C0C0FF"]
	]
}

Data Format

The input file is a JSON document that describes the start and end points of the timeline, tickmarks along the main axis, as well as callouts to specifc dates/times, and eras which visually mark areas along the axis. Many of the fields are dates, which can be described in several common date formats (e.g., "3/14/15", "Nov 11, 2011", etc.) and may optionally also include a time of day (e.g. "3/14/15 9:26am"). (Date/time parsing is handled by the Python package parsedatetime, which parses many formats.)

Required Fields

The only required fields are width, start, and end. All other fields are optional.

  • width describes the width, in pixels, of the output SVG document. The height will be determined automatically.
  • start is the date/time of the leftmost date/time on the axis.
  • end is the date/time of the rightmost date/time on the axis.

Optional Fields

  • num_ticks contols the number of tickmarks along the axis between the start and end date/times (inclusive). If this field is not present, no tickmarks will be generated except for those at the start and end dates.
  • tick_format describes the string format of the tickmarks along the axis. It follows the Python datetime formatting conventions.

Callouts

Callouts along the axis are described in the callouts list. Each entry in the callouts list is itself a list with either two or three values, all of which are strings. The first two values are required, while the third is optional. The first value is the text description of the callout (e.g., "Pi Day"), and the second value is the date/time of the callout (e.g., "3/14/15 9:26am"). The optional third value can specify a color for the callout, either a color hexcode starting with a # or a SVG color alias.

Example:

["Ultimate Pi Day", "3/14/15 9:26am"]

or, with a custom callout color:

["Ultimate Pi Day", "3/14/15 9:26am", "#CD3F85"]

Eras

Eras are described in the eras list. Like the callout list, each entry in the eras list is itself a list with either three or four values. The first three are required while the fourth is option; all values are strings. The first value is a text description of the era (e.g., "Summer"), while the second and third values are the start and end date/times of the era, respectively (e.g., "6/21/15 12am", and "9/20/15 11:59pm"). The optional fourth value can specify a color for the era, either a color hexcode starting with a # or a SVG color alias.

Example:

["Summer 2015", "6/21/15 12am", "9/20/15 11:59pm"]

or, with a custom era color:

["Summer 2015", "6/21/15 12am", "9/20/15 11:59pm", "Orange"]

Prerequisites

You must have a python 2.7 installation and install the Python packages parsedatetime and svgwrite.

Usage

./make_timeline.py in.json > out.svg

Owner
Jason Reisman
Jason Reisman
Multi-class confusion matrix library in Python

Table of contents Overview Installation Usage Document Try PyCM in Your Browser Issues & Bug Reports Todo Outputs Dependencies Contribution References

Sepand Haghighi 1.3k Dec 31, 2022
Color maps for POV-Ray v3.7 from the Plasma, Inferno, Magma and Viridis color maps in Python's Matplotlib

POV-Ray-color-maps Color maps for POV-Ray v3.7 from the Plasma, Inferno, Magma and Viridis color maps in Python's Matplotlib. The include file Color_M

Tor Olav Kristensen 1 Apr 05, 2022
Scientific Visualization: Python + Matplotlib

An open access book on scientific visualization using python and matplotlib

Nicolas P. Rougier 8.6k Dec 31, 2022
GitHub English Top Charts

Help you discover excellent English projects and get rid of the interference of other spoken language.

kon9chunkit 529 Jan 02, 2023
Python Data Structures for Humans™.

Schematics Python Data Structures for Humans™. About Project documentation: https://schematics.readthedocs.io/en/latest/ Schematics is a Python librar

Schematics 2.5k Dec 28, 2022
ipyvizzu - Jupyter notebook integration of Vizzu

ipyvizzu - Jupyter notebook integration of Vizzu. Tutorial · Examples · Repository About The Project ipyvizzu is the Jupyter Notebook integration of V

Vizzu 729 Jan 08, 2023
Homework 2: Matplotlib and Data Visualization

Homework 2: Matplotlib and Data Visualization Overview These data visualizations were created for my introductory computer science course using Python

Sophia Huang 12 Oct 20, 2022
Here I plotted data for the average test scores across schools and class sizes across school districts.

HW_02 Here I plotted data for the average test scores across schools and class sizes across school districts. Average Test Score by Race This graph re

7 Oct 27, 2021
The Timescale NFT Starter Kit is a step-by-step guide to get up and running with collecting, storing, analyzing and visualizing NFT data from OpenSea, using PostgreSQL and TimescaleDB.

Timescale NFT Starter Kit The Timescale NFT Starter Kit is a step-by-step guide to get up and running with collecting, storing, analyzing and visualiz

Timescale 102 Dec 24, 2022
Parse Robinhood 1099 Tax Document from PDF into CSV

Robinhood 1099 Parser This project converts Robinhood Securities 1099 tax document from PDF to CSV file. This tool will be helpful for those who need

Keun Tae (Kevin) Park 52 Jun 10, 2022
又一个云探针

ServerStatus-Murasame 感谢ServerStatus-Hotaru,又一个云探针诞生了(大雾 本项目在ServerStatus-Hotaru的基础上使用fastapi重构了服务端,部分修改了客户端与前端 项目还在非常原始的阶段,可能存在严重的问题 演示站:https://stat

6 Oct 19, 2021
Script to create an animated data visualisation for categorical timeseries data - GIF choropleth map with annotations.

choropleth_ldn Simple script to create a chloropleth map of London with categorical timeseries data. The script in main.py creates a gif of the most f

1 Oct 07, 2021
A GUI for Pandas DataFrames

About Demo Installation Usage Features More Info About PandasGUI is a GUI for viewing, plotting and analyzing Pandas DataFrames. Demo Installation Ins

Adam Rose 2.8k Dec 24, 2022
Simple plotting for Python. Python wrapper for D3xter - render charts in the browser with simple Python syntax.

PyDexter Simple plotting for Python. Python wrapper for D3xter - render charts in the browser with simple Python syntax. Setup $ pip install PyDexter

D3xter 31 Mar 06, 2021
Data Visualizations for the #30DayChartChallenge

The #30DayChartChallenge This repository contains all the charts made for the #30DayChartChallenge during the month of April. This project aims to exp

Isaac Arroyo 7 Sep 20, 2022
:bowtie: Create a dashboard with python!

Installation | Documentation | Gitter Chat | Google Group Bowtie Introduction Bowtie is a library for writing dashboards in Python. No need to know we

Jacques Kvam 753 Dec 22, 2022
Generate visualizations of GitHub user and repository statistics using GitHub Actions.

GitHub Stats Visualization Generate visualizations of GitHub user and repository statistics using GitHub Actions. This project is currently a work-in-

Aditya Thakekar 1 Jan 11, 2022
A way of looking at COVID-19 data that I haven't seen before.

Visualizing Omicron: COVID-19 Deaths vs. Cases Click here for other countries. Data is from Our World in Data/Johns Hopkins University. About this pro

1 Jan 10, 2022
Political elections, appointment, analysis and visualization in Python

Political elections, appointment, analysis and visualization in Python poli-sci-kit is a Python package for political science appointment and election

Andrew Tavis McAllister 9 Dec 01, 2022
This is a learning tool and exploration app made using the Dash interactive Python framework developed by Plotly

Support Vector Machine (SVM) Explorer This app has been moved here. This repo is likely outdated and will not be updated. This is a learning tool and

Plotly 150 Nov 03, 2022