python - 过滤对角地理坐标

Question

我正在尝试在地理坐标上过滤我的文件，以使用 Python 和 Folium 仅保留位于曼哈顿的坐标。我尝试设置自己的限制：

top_left = [40.806470, -73.973205]
bottom_left = [40.709729, -74.035690]
bottom_right = [40.696715, -73.992431]
top_right = [40.781518, -73.934066]

low_lat = bottom_right[0]
high_lat = top_left[0]       
low_lon = top_right[1]
high_lon = bottom_left[1]

df_bad = df.loc[
    (df["Point_latitude"] < high_lat) & 
    (df["Point_latitude"] > low_lat) &
    (df["Point_longitude"] > high_lon) &
    (df["Point_longitude"] < low_lon)
]

我对这种方法的问题是它包含了我不想包含的纽约市部分。这是一个像这样的直盒：

我想像这样过滤我的地图：

有没有办法做到这一点？或者也许是一个允许我这样做的新图书馆？

谢谢

Answer 1

Use can use shapely for that. https://pypi.python.org/pypi/Shapely . In fact, you can create polygons and other geospatial features with it. Potentially, you do not need any df. Here is a complete example using your polygon and random points. You do not need all of these modules, but I show you that you can solve your problem in many ways:

import json
import geojson
from shapely.geometry import mapping, shape, Polygon, MultiPoint
import shapely.wkt as wkt
import folium

top_left = [-73.973205, 40.806470]
bottom_left = [-74.035690, 40.709729]
bottom_right = [-73.992431, 40.696715]
top_right = [-73.934066, 40.781518]

coordinates =[(-74, 40.74),(-74, 40.76),(-74, 40.78),(-74, 40.81)]
coordinates_shapely = MultiPoint(coordinates)

# 1. create a polygon:
polyNY_shapely = Polygon([(top_left), (bottom_left), (bottom_right), (top_right)])
# OR 
polyNY_json = {
"coordinates": [[top_left, bottom_left, bottom_right, top_right, top_left]], 
"type": "Polygon"
}


# 2. create the geojson of the polygon
g1 = wkt.loads(polyNY_shapely.wkt)
g2a = geojson.Feature(geometry=g1)
# OR
g2b = json.dumps(mapping(shape(polyNY_json)))

# 3. create map with polygon and all coordinates
map_osm = folium.Map(location=[40.7, -74.0],zoom_start=12)
folium.GeoJson(
g2a,
style_function=lambda feature: {
    'fillColor': '#ffff00',
    'color' : 'blue',
    'weight' : 2
    }).add_to(map_osm)
for cc in coordinates:
    folium.Marker(cc[::-1], popup='point '+str(cc)).add_to(map_osm)
map_osm.save('shapelyfolium.html')

# add points to map after filtering
for pp in range(len(list(coordinates_shapely))):
    print polyNY_shapely.contains(coordinates_shapely[pp])
    if polyNY_shapely.contains(coordinates_shapely[pp]):
        folium.Marker(coordinates[pp][::-1], popup='point '+str(pp),icon = folium.Icon(color='red')).add_to(map_osm)
# OR
# if pp.within(polyNY_shapely):
#     folium.Marker(row, popup='point '+str(index),icon = folium.Icon(color='red')).add_to(map_osm)
map_osm.save('shapelyfoliumAfterfiltering.html')