semantic_link_functions_meteostat_weather_enrichment_quickstart.py

1import pandas as pd
2import semantic_link_functions_meteostat as slf_meteostat
3
4# Create a sample DataFrame with location and time data
5df = pd.DataFrame({
6    "Latitude": [47.6062, 40.7128],
7    "Longitude": [-122.3321, -74.0060],
8    "Time": pd.to_datetime(["2023-01-01 12:00:00", "2023-01-01 12:00:00"])
9})
10
11# Enrich the DataFrame with weather data using the Meteostat function
12# This will automatically map columns based on semantic meaning
13enriched_df = slf_meteostat.weather(df)
14
15print(enriched_df)