Lab 8

Lab 8#

In this lab, you’ll enrich your interactive map by implementing a dynamic basemap selector using a dropdown menu. You’ll also practice writing proper docstrings and showcasing your work in a shareable Colab notebook.

Objectives#

By the end of this lab, you will be able to:

  • Add an interactive dropdown for switching basemaps.

  • Implement a close/hide button to control UI elements.

  • Write clear and professional docstrings.

  • Share your work via a Google Colab notebook with an embedded badge.

🛠️ Task Instructions#

1. Create a Basemap Selection Dropdown#

  • Add a dropdown widget that lets users choose from at least the following basemaps:

    • "OpenStreetMap"

    • "OpenTopoMap"

    • "Esri.WorldImagery"

    • "CartoDB.DarkMatter"

  • Ensure that the selected basemap updates the map dynamically.

2. Add a Close/Toggle Button for the Dropdown#

  • Implement a button to close the dropdown menu.

  • This allows users to remove the dropdown from the UI when not needed.

3. Add Docstrings to Your Functions#

  • Write proper Python docstrings for all custom functions or classes.

  • Your docstrings should describe:

    • The purpose of the function.

    • The parameters (with types).

    • The return value (if any).

📌 Example format:

def add_basemap_gui(self, position="topright"):
    """
    Adds the selected basemap to the map.

    Params:
        position (str): Position of the dropdown menu on the map.

    Returns:
        None
    """

4. Create and Share a Google Colab Notebook#

  • Create a notebook that demonstrates:

    • The interactive dropdown functionality.

    • The toggle button for hiding/showing the UI.

  • Add an “Open in Colab” badge at the top so users can easily run it themselves.

🔗 Instructions to add a Colab badge:

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](YOUR_NOTEBOOK_LINK_HERE)

📝 Submission Checklist#

Your submission should include links to the following:

  • A GitHub link to your added functionality in the Map class

  • A link to the Jupyter Notebook demonstrating the new functionalities on your package website

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