A Python package for data visualisation for football analytics.

Slothfulwave612 Last update: Mar 01, 2024

soccerplots

NOTE: THIS PACKAGE HAS NOW BEEN MERGED WITH mplsoccer. Check out this link
soccerplots is a Python package that can be used for making visualizations for football analytics.
The main aim of soccerplots is to save time for analysts so they can focus more on the analysis rather than coding the visualizations from scratch.
If you have any problem or confusion regarding how to use it ping me here.
soccerplots v1.0.0:
- Now the users can make their own defined theme for plotting radar charts, see this.
- Module for plotting bump charts has been added to the package, see this.
- Added a method which can be used for adding and modifying text to matplotlib plots, see this.
Version:
- Python: v3.7.7
- Numpy: v1.19.1
- Matplotlib: v3.3.0
- Pillow(PIL): v7.2.0
Previous version documentations and examples are available here.

Tags:

Owner

Slothfulwave612

GitHub Repository https://github.com/Slothfulwave612

Repository of small data analysis and visualisation projects to try out new libraries and create new types of visualisations. Mostly using Python.

Repository for small-ish analysis and data viz projects. Another project using Google Search API to look at Google searches of 'bike' across Europe before & since the pandemic. Not much change in…

Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.

Pylustrator is a software to prepare your figures for publication in a reproducible way. This means you receive a figure representing your data and alongside a generated code file that can exactly re…

Computation of adherence to medications from Electronic Healthcare Data in R

More information is given in the packages' various vignettes and in the accompanying paper: Copyright (by period, in alphabetical order by family name; please see individual files for details) (C):

Comparison of Python packages and libraries for visualising geospatial vector data: applications for Smarter Cities.

A comparison of Python libraries for static and interactive visualisations of large vector data. Long-listed libraries were first compared by compiling a range of metadata: The short-listed libraries…

NIWA Scientific Python tutorial, April 2015, Wellington, New Zealand

#Python for Data Analysis and Visualisation Contact: Nicolas Fauchereau For your platform. Once you have installed Anaconda, you can update to the latest compatible versions of all the pre-installed …

Some tools for manipulating and visualizing raster and vector data using python. See code generated documentation at the readthedocs website. For installation and usage instructions (warning: this is under construction) go here: https://lsdtopotools.github.io/LSDTT_documentation/LSDTT_visualisation.html

I am very sorry to say that the documentation for these tools are minimal. We have gone through several iterations of design of these tools so there are many useless dead ends in the repository. Sorr…

How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.

The Pandas Data Exploration Journey series will consist of following notebooks :

The Ocean Navigator is an online tool that is used to help visualise scientific research data. a users guide is available at https://dfo-ocean-navigator.github.io/Ocean-Navigator-Manual/ and the tool is live at

Ocean Navigator is a Data Visualization tool that enables users to discover and view 3D ocean model output quickly and easily. The server-side component of the Ocean Navigator is written in Python 3,…

Data Science, Visualisations, and Machine Learning Cookbook

Data Science stuff I have learnt and still refer to over the years. Script titles are descriptive in keeping with the verbose nature of the python language (a Xteristic that I absolutely love) A few …

Create artistic visualisations with your exercise data (Python version)

Create artistic visualisations with your exercise data (Python version). Install via pip: For development: Then run from the terminal: A map of activities viewed in plan. A plot of activity elevation…