chatgpt-first-map

# modify first map using chatgpt
# given the following code, use hvplot to output an html file of the university area but make it a gold outline of 4 pixels with no fill and old main point to map using esri imagery as a base 
# Work with vector data
import geopandas as gpd
from shapely.geometry import Point

# Save maps and plots to files
import holoviews as hv
import hvplot.pandas
hv.extension('bokeh')  # Ensure Bokeh extension is loaded for interactive plots

# Search for locations by name - this might take a moment
from osmnx import features as osm

# Search for universities in Boulder, CO
universities_gdf = osm.features_from_address(
    'Boulder, CO, United States',
    {'amenity': ['university']}
)

# Filter the GeoDataFrame to only include the University of Colorado
ucb_gdf = universities_gdf[universities_gdf['name'].str.contains('University of Colorado', case=False, na=False)]

# Define the coordinates for Old Main, Boulder, CO
old_main_gdf = gpd.GeoDataFrame(
    {'name': ['Old Main']},
    geometry=[Point(-105.2705, 40.0095)],  # Correct longitude and latitude
    crs="EPSG:4326"  # Coordinate reference system (WGS84)
)

# Plotting the University of Colorado area with hvplot
# Styling the university boundary as a gold outline with no fill
ucb_plot = ucb_gdf.hvplot(
    geo=True,
    tiles='ESRI',
    line_width=4,
    color='gold',
    fill_alpha=0,  # No fill
    hover_cols=['name'],  # Show name on hover
    legend=False
)

# Plotting the Old Main point
old_main_plot = old_main_gdf.hvplot.points(
    geo=True,
    color='gold',
    size=100,
    marker='*',
    hover_cols=['name']
)

# Combine the plots
combined_plot = ucb_plot * old_main_plot

# Save the plot as an HTML file
hvplot.save(combined_plot, 'university_of_colorado_map.html')

# Display the plot
combined_plot