33 lines
1.3 KiB
Python
33 lines
1.3 KiB
Python
import numpy as np
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import pandas as pd
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from pyproj import Geod
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def closest_satalite_measurement(point, df=None):
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if df is None:
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df = pd.read_csv("oco2.csv", index_col=0)
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geod = Geod(ellps="WGS84")
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pos = df.apply(lambda row: geod.inv(point[1], point[0], row["Longitude"], row["Latitude"]), axis=1)
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distances = pos.apply(lambda row: row[2])
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min_index = distances.idxmin()
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measurement = df.loc[min_index]
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return dict(measurement)
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def closest_city(point, df=None, population_threshold=0):
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"""Get the name, population, and distance to the point of the closest city"""
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if df is None:
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df = pd.read_csv("africapolis.csv", index_col=0)
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df = df[df["Population"] > population_threshold]
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geod = Geod(ellps="WGS84")
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pos = df.apply(lambda row: geod.inv(point[1], point[0], row["Longitude"], row["Latitude"]), axis=1)
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fwd_azimuth, distances = pos.apply(lambda row: row[0]), pos.apply(lambda row: row[2])
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min_index = distances.idxmin()
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city = df.loc[min_index]
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return {
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"name": city["Name"],
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"population": np.int64(city["Population"]),
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"distance": np.float64(distances[min_index]),
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"location": (city["Latitude"], city["Longitude"]),
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"fwd_azimuth": fwd_azimuth[min_index],
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} |