Creating heat maps of git commits
Tags: projects, programming« Previous post: Simple experiments with speech detection — Next post: Little brother, a script for analysing … »
As a parting graduation gift, friends and I recently decided that we wanted to create a “heat map” of the git commits of one of our mutual friends. Since this was a rather fun hack, I decided to share the script I wrote for this purpose (thanks to Jan for providing the initial script which kicked this off):
#!/usr/bin/env python3 import argparse import datetime import subprocess import os import sys parser = argparse.ArgumentParser(description="Create heatmaps of git commits") parser.add_argument("--author", help="Author whose git commits are to be counted", type=str) parser.add_argument("directory", help="git directory to use", metavar="DIR") arguments = parser.parse_args() directory = os.path.join(arguments.directory, ".git") author = arguments.author or "" commits = subprocess.check_output( ["git", "--git-dir=%s" % directory, "log", "--pretty=format:%ct", "--author=%s" % author ] ) counts = [ *24 for _ in range(7) ] for commit in commits.decode().split(): d = datetime.datetime.fromtimestamp(int(commit)) row = d.weekday() col = d.hour counts[row][col] += 1 print('set size ratio 7.0/24.0\n' 'set xrange [-0.5:23.5]\n' 'set yrange [-0.5: 6.5]\n' 'set xtics 0,1\n' 'set ytics 0,1\n' 'set xtics offset -0.5,0.0\n' 'set tics scale 0,0.001\n' 'set mxtics 2\n' 'set mytics 2\n' 'set grid front mxtics mytics linetype -1 linecolor rgb \'black\'\n' 'plot "-" matrix with image notitle') for row in range(7): for col in range(24): print("%d " % counts[row][col], end="") print("") print("e")
Note that the numerical values on the y-axis of the heat map refer to the weekdays. I have not provided a mapping to their names. The x-axis refers to the hour in which a commit was made.
The usage is very simple: Point the script towards a directory that contains a git repository, use
--author parameter to filter commits, and pipe the output into a file. The script
will generate code for further processing with gnuplot. A basic session might
look like this:
$ ./git-heatmap.py ~/Projects/Skynet > skynet.dat $ gnuplot gnuplot > set terminal png gnuplot > set output "skynet.png" gnuplot > load "skynet.dat" gnuplot > set output $ # Post skynet.png on all the media to get spared when the $ # inevitable robot uprising starts...
For further customizations, I recommend Anna Schneider’s ColorBrewer colour palette for gnuplot.
Here’s a heat map of the commits for Scifer, our research group’s visualization framework: