Add support for displaying spectral profiles from in situ data

[giswqs]

A proof of concept.

import matplotlib.pyplot as plt
from ipyleaflet import Map, Marker, Popup
from ipywidgets import Output

# Sample data
points = [
    {'name': 'Point 1', 'location': [40.7128, -74.0060], 'data': [1, 2, 3, 4, 5]},
    {'name': 'Point 2', 'location': [34.0522, -118.2437], 'data': [2, 3, 4, 5, 6]},
    {'name': 'Point 3', 'location': [37.7749, -122.4194], 'data': [3, 4, 5, 6, 7]},
]

# Function to create the chart
def create_chart(data, title):
    fig, ax = plt.subplots(figsize=(10, 6))  # Adjust the figure size here
    ax.plot(data)
    ax.set_title(title)
    ax.set_xlabel('Time')
    ax.set_ylabel('Value')
    output = Output(layout={'width': '400px', 'height': '300px'})  # Adjust the output widget size here
    with output:
        plt.show()
    return output

# Create a map
m = Map(center=[39.8283, -98.5795], zoom=4)

# Define a callback function to create and show the popup
def callback_with_popup_creation(point):
    def f(**kwargs):
        marker_center = kwargs['coordinates']
        marker_name = point['name']
        marker_data = point['data']
        output = create_chart(marker_data, marker_name)
        popup = Popup(
            location=marker_center,
            child=output,
            min_width=400,
            max_width=800  # Adjust the max width here
        )
        m.add_layer(popup)
    return f

# Add points to the map
for point in points:
    marker = Marker(location=point['location'], title=point['name'])
    marker.on_click(callback_with_popup_creation(point))
    m.add_layer(marker)

# Display the map
m.layout.height = '600px'
m