Lære Visualizing Project Timelines | Project Management and Optimization

Understanding how to visualize project timelines is essential for effective project management in civil engineering. Gantt charts are one of the most widely used tools for this purpose. A Gantt chart is a type of bar chart that illustrates a project schedule, showing the start and finish dates of various elements of a project. By displaying tasks along a timeline, Gantt charts help you plan, coordinate, and track specific activities, making it easier to manage resources and deadlines.


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import matplotlib.pyplot as plt

# Define the project tasks with their start and finish times (in days)
tasks = [
    {"Task": "Site Preparation", "Start": 0, "Finish": 5},
    {"Task": "Foundation", "Start": 5, "Finish": 12},
    {"Task": "Framing", "Start": 12, "Finish": 20},
    {"Task": "Roofing", "Start": 20, "Finish": 25},
    {"Task": "Finishing", "Start": 25, "Finish": 30},
]

fig, ax = plt.subplots(figsize=(8, 4))

# Create a Gantt chart using horizontal bars
for i, task in enumerate(tasks):
    ax.barh(task["Task"], task["Finish"] - task["Start"], left=task["Start"], height=0.5)

ax.set_xlabel("Days")
ax.set_title("Simple Project Gantt Chart")
plt.tight_layout()
plt.show()

When you look at a Gantt chart, you can quickly see the sequence and duration of project tasks, as well as any overlap between them. Each horizontal bar represents a task, with its position and length indicating the start date and duration. This makes it easy to track progress, identify potential bottlenecks, and coordinate resources. Project managers use Gantt charts to monitor whether tasks are on schedule and to adjust plans as needed to keep the project on track.


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import matplotlib.pyplot as plt

# Define tasks with color coding for clarity
tasks = [
    {"Task": "Site Preparation", "Start": 0, "Finish": 5, "Color": "#8dd3c7"},
    {"Task": "Foundation", "Start": 5, "Finish": 12, "Color": "#ffffb3"},
    {"Task": "Framing", "Start": 12, "Finish": 20, "Color": "#bebada"},
    {"Task": "Roofing", "Start": 20, "Finish": 25, "Color": "#fb8072"},
    {"Task": "Finishing", "Start": 25, "Finish": 30, "Color": "#80b1d3"},
]

fig, ax = plt.subplots(figsize=(8, 4))

# Add horizontal bars with colors and labels
for i, task in enumerate(tasks):
    ax.barh(
        task["Task"],
        task["Finish"] - task["Start"],
        left=task["Start"],
        height=0.5,
        color=task["Color"]
    )
    # Add labels for start and finish
    ax.text(
        task["Start"],
        i,
        f'Start: {task["Start"]}',
        va='center',
        ha='right',
        fontsize=8
    )
    ax.text(
        task["Finish"],
        i,
        f'Finish: {task["Finish"]}',
        va='center',
        ha='left',
        fontsize=8
    )

ax.set_xlabel("Days")
ax.set_title("Gantt Chart with Labels and Color Coding")
plt.tight_layout()
plt.show()

1. What information does a Gantt chart provide to project managers?

2. Which matplotlib function is used to create horizontal bars for Gantt charts?

3. Fill in the blank: Gantt charts help visualize the ______ of project tasks over time.

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Suggested prompts:

Can you explain how to interpret the color coding in the Gantt chart?

What are some best practices for creating effective Gantt charts?

How can I add more details or milestones to the Gantt chart?

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