git_log_to_scatter

#

Generate scatter plot based on git commits

import os
import sys
from argparse import ArgumentParser, RawDescriptionHelpFormatter

import git
import matplotlib.pyplot as plt
import pandas as pd

#

def main():

#

check if the directory is a git repo

    if not os.path.isdir(".git"):
        print("Not a git repo")
        sys.exit(1)

    dates = []
    hours = []
    lines_changed = []

    repo = git.Repo("./")
    for commit in repo.iter_commits():
        date_time_str = str(commit.committed_datetime)
        date_str, time_str = date_time_str.split(" ")[0], date_time_str.split(" ")[1]
        lines_changed.append(len(commit.stats.files))
        dates.append(date_str)
        hours.append(time_str.split(":")[0])

    df = pd.DataFrame({"Date": dates, "Hour": hours, "Lines Changed": lines_changed})

#

Convert ‘Date’ column to datetime format

    df["Date"] = pd.to_datetime(df["Date"])

#

Plotting

    plt.scatter(df["Date"], df["Hour"], s=df["Lines Changed"] * 10)  # Adjust the size of scatter points
    plt.title("Lines Changed by Date and Hour")
    plt.xlabel("Date")
    plt.ylabel("Hour of Day")
    plt.gca().invert_yaxis()  # Invert y-axis to start from 00 at the top
    plt.show()

#

def parse_args():
    parser = ArgumentParser(description=__doc__, formatter_class=RawDescriptionHelpFormatter)
    parser.add_argument(
        "-v",
        "--verbose",
        action="count",
        default=0,
        dest="verbose",
        help="Increase verbosity of logging output",
    )
    return parser.parse_args()


if __name__ == "__main__":
    args = parse_args()
    main()

git_log_to_scatter_plot.py