chess-graph 1.4.1

A package that can create a multi-level, shaded, piechart visualization of chess games.

The Chess Opening Analyzer

About

A program that will produce a graphical sunburst chart of chess openings from the PGN that is provided to it.

You can upload your own PGN files and then create a multi-level piechart to your inputted depth that will show each move by its relative popularity.

The chart python file will then create a vividly colored graphical chart using Plot.ly with each segment shaded based on how often white/black win.

The pie chart sizes will be divided based on how frequent the move is compared to its parent. You can hover on the 'slice' of the piechart to see the exact number of games in which that position was reached; clicking is also possible to expand that segment to 100%.

Features

• Make graph of games to any depth
• Upload a custom database and see how your chart looks like
• Hover to see metadata such as game count and percentage of parent
• Easily find openings with simple hover tooltip identification
• Click to zoom in on a slice and expand it, making it easy to magnify any slice of the pie chart
• Downloadable files: you can download the chart as an interactive HTML, or as a static PNG/JPEG/SVG/WEBP image with just a few clicks
• Win Ratio Shading means that you will never be in doubt as to what next move is statistically best

Using via pip install

1. pip install chess-graph
2. Open terminal/interpreter.
3. Type import chess-graph into your terminal/interpreter
4. Type chart.graph(*path to file*, depth = 5, fragmentation_percentage = 0.0032, should_defragment = False, custom_branching = False)

Note that the path to the pgn file must be relative to the current directory python is running in. For example, if you have the pgn downloaded on your Desktop, you could easily solve this issue by navigating to Desktop within terminal (cd Desktop). From there, you can run path to file simply by typing in the filename (assuming it is in Desktop). If this is confusing, just type in the full path.

To see which directory you are in, you can also type import os and then os.getcwdb().

Prerequisites

• Runs in Python 3, must have Python 3 installed
• Requires Plotly and Python-Chess

You can install Plotly and Python-Chess using PyPi, as long as you are an admin user on your device. To do so, simply type pip install plotly and pip install python-chess into your terminal.

Downloading

Downloading is an option, although to do so you will need to go to chart.py and scroll to the bottom of the fie. There, several lines will be commented out.

Currently, you can uncomment the download interactive HTML file without anything else to download. If you do so, an HTML file of the graph will be saved to your device, which you can open with your browser.

You can also download the file as: SVG, PDF, JPEG, PNG, and WebP. Just uncomment those lines in the file as well, instructions are there. However, if you want to download in these formats you need the following installed.

npm install -g electron@1.8.4 orca

pip install psutil requests

pip install psutil

Examples

All examples are those of Magnus Carlsen's OTB tournament games

Simple Pie Chart

Hover Functionality | Show Percentage of Parent + Game Count

Click to Zoom

Extra Info

I based this chart loosely off of a post that I read on ebemunk's blog - you can find the link here: https://blog.ebemunk.com/a-visual-look-at-2-million-chess-games/. However, that project was written in Java and it didn't have everything that I wanted, such as showing all the games, zooming in, etc.