Chat GPT answer when I asked it to plot daily information about Pull Requests opened in a github repo during the last 6 months

chat-gpt-fourth-answer.py

from github import Github
import datetime
import matplotlib.pyplot as plt

# Access the GitHub API using a personal access token
g = Github("<personal_access_token>")

# Replace <repository_owner> and <repository_name> with the owner and name of the repository
repo = g.get_repo("<repository_owner>/<repository_name>")

# Set the date range to retrieve pull requests for
date_range = 180 # Number of days in the date range
end_date = datetime.datetime.now()
start_date = end_date - datetime.timedelta(days=date_range)

# Get all pull requests created in the specified date range
pull_requests = repo.get_pulls(state='all', sort='created', direction='desc', base='master', since=start_date, until=end_date)

# Create a dictionary to hold the times to merge for each day
times_to_merge_per_day = {}

# Iterate over each pull request and calculate the time to merge
for pull_request in pull_requests:
    if pull_request.merged:
        # Get the date the pull request was opened
        pr_created_date = pull_request.created_at.date()
        
        # Get the date the pull request was merged
        pr_merged_date = pull_request.merged_at.date()
        
        # Calculate the time between the pull request being opened and it being merged
        time_to_merge = (pr_merged_date - pr_created_date).days
        
        # Add the time to merge to the corresponding day in the dictionary
        if pr_created_date in times_to_merge_per_day:
            times_to_merge_per_day[pr_created_date].append(time_to_merge)
        else:
            times_to_merge_per_day[pr_created_date] = [time_to_merge]
    else:
        print("Pull Request #{} - Not merged yet".format(pull_request.number))

# Create a list of the average times to merge for each day
avg_times_to_merge_per_day = []
for date, times_to_merge in times_to_merge_per_day.items():
    avg_time_to_merge = sum(times_to_merge) / len(times_to_merge)
    avg_times_to_merge_per_day.append(avg_time_to_merge)

# Create a list of the dates in the specified date range
date_list = [start_date + datetime.timedelta(days=x) for x in range(date_range+1)]

# Plot the average times to merge per day as a bar chart
fig, ax = plt.subplots()
ax.bar(date_list, avg_times_to_merge_per_day)

# Set the x-axis and y-axis labels
ax.set_xlabel('Date')
ax.set_ylabel('Average Time to Merge (days)')

# Set the chart title
ax.set_title('Average Time to Merge for Pull Requests Opened in the Last {} Days'.format(date_range))

# Rotate the x-axis tick labels by 45 degrees for readability
plt.xticks(rotation=45)

# Show the chart
plt.show()