clock_plot provides a simple way to visualize timeseries data, mapping 24 hours onto the 360 degrees of a polar plot

Related tags

Data Visualizationclock_plot
Overview

clock_plot

clock_plot provides a simple way to visualize timeseries data mapping 24 hours onto the 360 degrees of a polar plot. For usage, please see the examples.ipynb Jupyter notebook

seasonal gas usage clock plot

Installation

To install this package run: pip install clock_plot

Available features

Time features are automatically generated for your timeseries. These features include:

Feature Type Description Example Values
year int Calendar year 2022
month str Calendar month "January"
year_month int Calendar year and month in the format YYYYMM 202201
day int Day of calendar year 25
date str Expressed in the format YYYY-MM-DD "2022-01-25"
week int ISO week of the calendar year 5
dayofweek str Short version of day of week "Tue"
weekend str Either "weekday" or "weekend", where "weekend" is Saturday and Sunday "weekend" (Sat/Sun)
"weekday" (Mon-Fri)
hour int Hour of the day in 24 clock 14
minute int Minute of the hour 42
degrees int Angle around 24 hour clock-face measured in degrees 341
season str Season of the year defined based on month, with Winter being Dec-Feb "Winter" (Dec-Feb)
"Spring" (Mar-May)
"Summer" (Jun-Aug)
"Autumn" (Sep-Nov)

These can be used to filter your data and format your plot.

For example you could filter for a particular year, plot seasons with different colors and weekday vs weekend days with different line dashes. Examples of this are given in examples.ipynb

When should you use these plots?

Radar/polar plots (of which clock plots are a special case) are much maligned by visualisation experts, and for good reason. Whilst some of the common limitations are overcome with clock plots, two key ones remain:

  1. It is harder to read quantitative values than on a linear axis
  2. Areas scale quadratically (with the square of the value) rather than linearly, which can lead to overestimation of differences

Clock plots are therefore most suited for cases where understanding absolute values is less important and one or more of the following is true:

  • behaviour around midnight is particularly important
  • there are a 2-3 daily peaks and understanding at a glance when those are occurring is more important than their exact magnitude
  • you want a distinctive, eye-catching graphic to engage people with your work

Note that they are particularly poorly suited to:

  • timeseries with negative values (the radial axis becomes very unintuitive)
  • timeseries with little within day variation (you just get circles!)

If you're not sure which is best for a particular use case, you can quickly toggle between a clock plot and a linear plot by adding mode="line" to your clock_plot call.

You might also like...
Plot, scatter plots and histograms in the terminal using braille dots
Plot, scatter plots and histograms in the terminal using braille dots

Plot, scatter plots and histograms in the terminal using braille dots, with (almost) no dependancies. Plot with color or make complex figures - similar to a very small sibling to matplotlib. Or use the canvas to plot dots and lines yourself.

Tammo Ippen 207 Dec 30, 2022
Streamlit component for Let's-Plot visualization library
Streamlit component for Let's-Plot visualization library

streamlit-letsplot This is a work-in-progress, providing a convenience function to plot charts from the Lets-Plot visualization library. Example usage

Randy Zwitch 9 Nov 3, 2022
a python function to plot a geopandas dataframe
a python function to plot a geopandas dataframe

Pretty GeoDataFrame A minimum python function (~60 lines) to draw pretty geodataframe. Based on matplotlib, shapely, descartes. Installation just use

haoming 27 Dec 5, 2022
Small project to recursively calculate and plot each successive order of the Hilbert Curve
Small project to recursively calculate and plot each successive order of the Hilbert Curve

hilbert-curve Small project to recursively calculate and plot each successive order of the Hilbert Curve. After watching 3Blue1Brown's video on Hilber

Stefan Mejlgaard 2 Nov 15, 2021
Info for The Great DataTas plot-a-thon
Info for The Great DataTas plot-a-thon

The Great DataTas plot-a-thon Datatas is organising a Data Visualisation competition: The Great DataTas plot-a-thon We will be using Tidy Tuesday data

null 2 Nov 21, 2021
It's an application to calculate I from v and r. It can also plot a graph between V vs I.
It's an application to calculate I from v and r. It can also plot a graph between V vs I.

Ohm-s-Law-Visualizer It's an application to calculate I from v and r using Ohm's Law. It can also plot a graph between V vs I. Story I'm doing my Unde

Sihab Sahariar 1 Nov 20, 2021
Plot and save the ground truth and predicted results of human 3.6 M and CMU mocap dataset.
Plot and save the ground truth and predicted results of human 3.6 M and CMU mocap dataset.

Visualization-of-Human3.6M-Dataset Plot and save the ground truth and predicted results of human 3.6 M and CMU mocap dataset. human-motion-prediction

Gaurav Kumar Yadav 5 Nov 18, 2022
Plot-configurations for scientific publications, purely based on matplotlib

TUEplots Plot-configurations for scientific publications, purely based on matplotlib. Usage Please have a look at the examples in the example/ directo

Nicholas Krämer 487 Jan 8, 2023
A tool to plot and execute Rossmos's Formula, that helps to catch serial criminals using mathematics
A tool to plot and execute Rossmos's Formula, that helps to catch serial criminals using mathematics

Rossmo Plotter A tool to plot and execute Rossmos's Formula using python, that helps to catch serial criminals using mathematics Author: Amlan Saha Ku

Amlan Saha Kundu 3 Aug 29, 2022
Comments
Releases(v0.2.1)
Owner
GitHub Repository
Flame Graphs visualize profiled code

Flame Graphs visualize profiled code

Brendan Gregg 14.1k Jan 03, 2023
FairLens is an open source Python library for automatically discovering bias and measuring fairness in data

FairLens FairLens is an open source Python library for automatically discovering bias and measuring fairness in data. The package can be used to quick

Synthesized 69 Dec 15, 2022
basemap - Plot on map projections (with coastlines and political boundaries) using matplotlib.

Basemap Plot on map projections (with coastlines and political boundaries) using matplotlib. ⚠️ Warning: this package is being deprecated in favour of

Matplotlib Developers 706 Dec 28, 2022
Use Perspective to create the chart for the trader’s dashboard

Task Overview | Installation Instructions | Link to Module 3 Introduction Experience Technology at JP Morgan Chase Try out what real work is like in t

Abdulazeez Jimoh 1 Jan 22, 2022
📊 Extensions for Matplotlib

📊 Extensions for Matplotlib

Nico Schlömer 519 Dec 30, 2022
Custom Plotly Dash components based on Mantine React Components library

Dash Mantine Components Dash Mantine Components is a Dash component library based on Mantine React Components Library. It makes it easier to create go

Snehil Vijay 239 Jan 08, 2023
flask extension for integration with the awesome pydantic package

Flask-Pydantic Flask extension for integration of the awesome pydantic package with Flask. Installation python3 -m pip install Flask-Pydantic Basics v

249 Jan 06, 2023
Package managers visualization

Software Galaxies This repository combines visualizations of major software package managers. All visualizations are available here: http://anvaka.git

Andrei Kashcha 1.4k Dec 22, 2022
Python wrapper for Synoptic Data API. Retrieve data from thousands of mesonet stations and networks. Returns JSON from Synoptic as Pandas DataFrame

☁ Synoptic API for Python (unofficial) The Synoptic Mesonet API (formerly MesoWest) gives you access to real-time and historical surface-based weather

Brian Blaylock 23 Jan 06, 2023
A Jupyter - Three.js bridge

pythreejs A Python / ThreeJS bridge utilizing the Jupyter widget infrastructure. Getting Started Installation Using pip: pip install pythreejs And the

Jupyter Widgets 844 Dec 27, 2022
A package for plotting maps in R with ggplot2

Attention! Google has recently changed its API requirements, and ggmap users are now required to register with Google. From a user’s perspective, ther

David Kahle 719 Jan 04, 2023
coordinate to draw the nimbus logo on the graffitiwall

This is a community effort to draw the nimbus logo on beaconcha.in's graffitiwall. get started clone repo with git clone https://github.com/tennisbowl

4 Apr 04, 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
daily report of @arkinvest ETF activity + data collection

ark_invest daily weekday report of @arkinvest ETF activity + data collection This script was created to: Extract and save daily csv's from ARKInvest's

T D 27 Jan 02, 2023
Eulera Dashboard is an easy and intuitive way to get a quick feel of what’s happening on the world’s market.

an easy and intuitive way to get a quick feel of what’s happening on the world’s market ! Eulera dashboard is a tool allows you to monitor historical

Salah Eddine LABIAD 4 Nov 25, 2022
🐞 📊 Ladybug extension to generate 2D charts

ladybug-charts Ladybug extension to generate 2D charts. Installation pip install ladybug-charts QuickStart import ladybug_charts API Documentation Loc

Ladybug Tools 3 Dec 30, 2022
A command line tool for visualizing CSV/spreadsheet-like data

PerfPlotter Read data from CSV files using pandas and generate interactive plots using bokeh, which can then be embedded into HTML pages and served by

Gino Mempin 0 Jun 25, 2022
Extensible, parallel implementations of t-SNE

openTSNE openTSNE is a modular Python implementation of t-Distributed Stochasitc Neighbor Embedding (t-SNE) [1], a popular dimensionality-reduction al

Pavlin Poličar 1.1k Jan 03, 2023
Param: Make your Python code clearer and more reliable by declaring Parameters

Param Param is a library providing Parameters: Python attributes extended to have features such as type and range checking, dynamically generated valu

HoloViz 304 Jan 07, 2023
With Holoviews, your data visualizes itself.

HoloViews Stop plotting your data - annotate your data and let it visualize itself. HoloViews is an open-source Python library designed to make data a

HoloViz 2.3k Jan 04, 2023