גילוי נאות, בהכשרתי איני מפתח קודים, והכל נעשה במסגרת למידה עצמית במסגרת המוסד.

להלן הקוד, אשמח לעזרה;

# Define the Overpass API query to get the fuel stations
overpass_url = "http://overpass-api.de/api/interpreter"
overpass_query = """
;
area;
(node(area);
way(area);
rel(area);
);
out center;
"""

# Make the request to the Overpass API and get the data
response = requests.get(overpass_url, params={'data': overpass_query})
data = response.json()

# Collect the coordinates of the fuel stations into a list
coords =
for element in data:
if element == 'node':
lon = element
lat = element
coords.append((lon, lat))
elif 'center' in element:
lon = element
lat = element
coords.append((lon, lat))

# Convert the coordinates into a numpy array
X = np.array(coords)

# Read in the shapefile of country borders using GeoPandas
world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))

# Create a matplotlib figure and axis
fig, ax = plt.subplots(figsize=(15, 7.5), dpi=300)

# Plot the country borders
world.plot(ax=ax, facecolor='none', edgecolor='#dddddd', linewidth=0.5)

# Add the fuel stations to the plot
ax.scatter(X, X, s=0.0001, c='#b34877', alpha=0.3)

# Set the title, axis labels, and equal aspect ratio
plt.title('All Countries')
plt.xlabel('Longitude')
plt.ylabel('Latitude')
plt.axis('equal')

# Show the plot
plt.show()