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
Fast visualization of radar_scenes based on oleschum/radar_scenes

RadarScenes Tools About This python package provides fast visualization for the RadarScenes dataset. The Open GL based visualizer is smoother than ole

Henrik Söderlund 2 Dec 09, 2021
ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata

ICS-Visualizer is an interactive Industrial Control Systems (ICS) network graph that contains up-to-date ICS metadata (Name, company, port, user manua

QeeqBox 2 Dec 13, 2021
Write python locally, execute SQL in your data warehouse

RasgoQL Write python locally, execute SQL in your data warehouse ≪ Read the Docs · Join Our Slack » RasgoQL is a Python package that enables you to ea

Rasgo 265 Nov 21, 2022
Simple, realtime visualization of neural network training performance.

pastalog Simple, realtime visualization server for training neural networks. Use with Lasagne, Keras, Tensorflow, Torch, Theano, and basically everyth

Rewon Child 416 Dec 29, 2022
Fastest Gephi's ForceAtlas2 graph layout algorithm implemented for Python and NetworkX

ForceAtlas2 for Python A port of Gephi's Force Atlas 2 layout algorithm to Python 2 and Python 3 (with a wrapper for NetworkX and igraph). This is the

Bhargav Chippada 227 Jan 05, 2023
simple tool to paint axis x and y

simple tool to paint axis x and y

G705 1 Oct 21, 2021
Apache Superset is a Data Visualization and Data Exploration Platform

Apache Superset is a Data Visualization and Data Exploration Platform

The Apache Software Foundation 49.9k Jan 02, 2023
Matplotlib tutorial for beginner

matplotlib is probably the single most used Python package for 2D-graphics. It provides both a very quick way to visualize data from Python and publication-quality figures in many formats. We are goi

Nicolas P. Rougier 2.6k Dec 28, 2022
Design your own matplotlib stylefile interactively

Tired of playing with font sizes and other matplotlib parameters every time you start a new project or write a new plotting function? Want all you plots have the same style? Use matplotlib configurat

yobi byte 207 Dec 08, 2022
trade bot connected to binance API/ websocket.,, include dashboard in plotly dash to visualize trades and balances

Crypto trade bot 1. What it is Trading bot connected to Binance API. This project made for fun. So ... Do not use to trade live before you have backte

G 3 Oct 07, 2022
This component provides a wrapper to display SHAP plots in Streamlit.

streamlit-shap This component provides a wrapper to display SHAP plots in Streamlit.

Snehan Kekre 30 Dec 10, 2022
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
This package creates clean and beautiful matplotlib plots that work on light and dark backgrounds

This package creates clean and beautiful matplotlib plots that work on light and dark backgrounds. Inspired by the work of Edward Tufte.

Nico Schlömer 205 Jan 07, 2023
Calendar heatmaps from Pandas time series data

Note: See MarvinT/calmap for the maintained version of the project. That is also the version that gets published to PyPI and it has received several f

Martijn Vermaat 195 Dec 22, 2022
matplotlib: plotting with Python

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Check out our home page for more inform

Matplotlib Developers 16.7k Jan 08, 2023
Graphical display tools, to help students debug their class implementations in the Carcassonne family of projects

carcassonne_tools Graphical display tools, to help students debug their class implementations in the Carcassonne family of projects NOTE NOTE NOTE The

1 Nov 08, 2021
Generating interfaces(CLI, Qt GUI, Dash web app) from a Python function.

oneFace is a Python library for automatically generating multiple interfaces(CLI, GUI, WebGUI) from a callable Python object. oneFace is an easy way t

NaNg 31 Oct 21, 2022
Kglab - an abstraction layer in Python for building knowledge graphs

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, p

derwen.ai 466 Jan 09, 2023
Manim is an animation engine for explanatory math videos.

A community-maintained Python framework for creating mathematical animations.

12.4k Dec 30, 2022
阴阳师后台全平台(使用网易 MuMu 模拟器)辅助。支持御魂,觉醒,御灵,结界突破,秘闻副本,地域鬼王。

阴阳师后台全平台辅助 Python 版本:Python 3.8.3 模拟器:网易 MuMu | 雷电模拟器 模拟器分辨率:1024*576 显卡渲染模式:兼容(OpenGL) 兼容 Windows 系统和 MacOS 系统 思路: 利用 adb 截图后,使用 opencv 找图找色,模拟点击。使用

简讯 27 Jul 09, 2022