def nearest_stations(self, latitude, longitude, all=False, limit=10):
"""
Select most current stations datasets.
Stolen from https://github.com/marians/dwd-weather
"""
# Retrieve stations
stations = self.get_stations(all=all)
# Build list of distances to corresponding station
distances = []
for index, station in stations.iterrows():
distance = haversine_distance(
(longitude, latitude),
(station['geograph.Laenge'], station['geograph.Breite']))
distances.append(distance)
# Insert list of distances as new column
stations.insert(1, 'Distanz', distances)
# Sort ascending by distance value and limit row count
stations = stations.sort_values('Distanz').head(n=limit)
# Convert Series to DataFrame again
frame = pd.DataFrame(stations)
return frame
def nearest_station(self, latitude, longitude, all=False):
"""
Select most current stations datasets.
Stolen from https://github.com/marians/dwd-weather
"""
closest = None
closest_distance = 99999999999
for index, station in self.get_stations(all=all).iterrows():
d = haversine_distance(
(longitude, latitude),
(station["geograph.Laenge"], station["geograph.Breite"]))
if d < closest_distance:
closest = station
closest_distance = d
return closest.to_frame()