rr

import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from datetime import datetime, timedelta

# Define the tasks, durations, and dependencies
tasks = [
    ("Project Planning", 14, "2023-04-12"),
    ("Requirements Gathering", 21, "2024-04-26"),
    ("UI/UX Design", 28, "2024-05-17"),
    ("Database Design", 14, "2024-05-17"),
    ("Front-end Development", 56, "2024-06-14"),
    ("Back-end Development", 70, "2024-06-14"),
    ("Integration Testing", 14, "2024-09-02"),
    ("User Acceptance Testing", 14, "2024-09-16"),
    ("Initial Deployment", 7, "2024-09-30"),
    ("Deployment to Production", 7, "2024-10-07"),
]

# Start date of the project
start_date = datetime.strptime("2024-04-12", "%Y-%m-%d")

# Set up the plot
fig, ax = plt.subplots(figsize=(14, 8))

# Colors for the bars
colors = plt.cm.tab10.colors

# Create bars for each task
for i, (task, duration, dependency_start) in enumerate(tasks):
    dependency_start_date = datetime.strptime(dependency_start, "%Y-%m-%d")
    start = (dependency_start_date - start_date).days
    ax.broken_barh([(start, duration)], (i*10, 9), facecolors=(colors[i % len(colors)]), edgecolor='black')

# Set the y-ticks to task names
ax.set_yticks([5 + i*10 for i in range(len(tasks))])
ax.set_yticklabels([task for task, _, _ in tasks])

# Formatting the dates on the x-axis
plt.xticks(rotation=45)
ax.xaxis.set_major_locator(mdates.MonthLocator())
ax.xaxis.set_minor_locator(mdates.WeekdayLocator())
ax.xaxis.set_major_formatter(mdates.DateFormatter('%b %d'))

# Labels and grid
ax.set_xlabel("Timeline")
ax.set_title("Gantt Chart for Carpooling Web App Development")
ax.grid(True, which='both', axis='x', linestyle='--', color='grey')

plt.tight_layout()
plt.show()