Calculating distance between point and MultiPolygon Geoseries object in PythonPython Shapely - filling small...
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Calculating distance between point and MultiPolygon Geoseries object in Python
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I want to calculate the distance of a point from the Multiploygon geoseries object created using cascaded_union
function of GeoPandas. Following is my code:
import numpy as np
import pandas as pd
import geopandas as gpd
from shapely.ops import cascaded_union
from matplotlib import pyplot as plt
from shapely.geometry import LineString, Point, MultiPoint
fp = "\TM_WORLD_BORDERS-0.3\TM_WORLD_BORDERS-0.3.shp"
data = gpd.read_file(fp)
mycountries = ['Canada','Russia']
req_data = data[data.NAME.isin(mycountries)]
req_data = req_data.reset_index()
req_data = req_data.drop('index',axis=1)
polygons = [req_data['geometry'][0],req_data['geometry'][1]]
boundary = gpd.GeoSeries(cascaded_union(polygons))
boundary.plot(color = 'black')
plt.show()
I require that when I calculate the distance of two points (as shown on the map: red dots) from the MultiPolygon, it should consider Canada for the one in the left side and Russia for the right one. Also, the distance in miles/km.
I tried using distance function but the result which I am getting is not correct. Moreover, if I consider point somewhere in the Indian Ocean, it gives a result as 0
which is again not what I require.
Shapefile can be downloaded from the TM_WORLD_BORDERS-0.3.zip file available at http://thematicmapping.org/downloads/world_borders.php
python polygon distance shapely geopandas
New contributor
add a comment |
I want to calculate the distance of a point from the Multiploygon geoseries object created using cascaded_union
function of GeoPandas. Following is my code:
import numpy as np
import pandas as pd
import geopandas as gpd
from shapely.ops import cascaded_union
from matplotlib import pyplot as plt
from shapely.geometry import LineString, Point, MultiPoint
fp = "\TM_WORLD_BORDERS-0.3\TM_WORLD_BORDERS-0.3.shp"
data = gpd.read_file(fp)
mycountries = ['Canada','Russia']
req_data = data[data.NAME.isin(mycountries)]
req_data = req_data.reset_index()
req_data = req_data.drop('index',axis=1)
polygons = [req_data['geometry'][0],req_data['geometry'][1]]
boundary = gpd.GeoSeries(cascaded_union(polygons))
boundary.plot(color = 'black')
plt.show()
I require that when I calculate the distance of two points (as shown on the map: red dots) from the MultiPolygon, it should consider Canada for the one in the left side and Russia for the right one. Also, the distance in miles/km.
I tried using distance function but the result which I am getting is not correct. Moreover, if I consider point somewhere in the Indian Ocean, it gives a result as 0
which is again not what I require.
Shapefile can be downloaded from the TM_WORLD_BORDERS-0.3.zip file available at http://thematicmapping.org/downloads/world_borders.php
python polygon distance shapely geopandas
New contributor
add a comment |
I want to calculate the distance of a point from the Multiploygon geoseries object created using cascaded_union
function of GeoPandas. Following is my code:
import numpy as np
import pandas as pd
import geopandas as gpd
from shapely.ops import cascaded_union
from matplotlib import pyplot as plt
from shapely.geometry import LineString, Point, MultiPoint
fp = "\TM_WORLD_BORDERS-0.3\TM_WORLD_BORDERS-0.3.shp"
data = gpd.read_file(fp)
mycountries = ['Canada','Russia']
req_data = data[data.NAME.isin(mycountries)]
req_data = req_data.reset_index()
req_data = req_data.drop('index',axis=1)
polygons = [req_data['geometry'][0],req_data['geometry'][1]]
boundary = gpd.GeoSeries(cascaded_union(polygons))
boundary.plot(color = 'black')
plt.show()
I require that when I calculate the distance of two points (as shown on the map: red dots) from the MultiPolygon, it should consider Canada for the one in the left side and Russia for the right one. Also, the distance in miles/km.
I tried using distance function but the result which I am getting is not correct. Moreover, if I consider point somewhere in the Indian Ocean, it gives a result as 0
which is again not what I require.
Shapefile can be downloaded from the TM_WORLD_BORDERS-0.3.zip file available at http://thematicmapping.org/downloads/world_borders.php
python polygon distance shapely geopandas
New contributor
I want to calculate the distance of a point from the Multiploygon geoseries object created using cascaded_union
function of GeoPandas. Following is my code:
import numpy as np
import pandas as pd
import geopandas as gpd
from shapely.ops import cascaded_union
from matplotlib import pyplot as plt
from shapely.geometry import LineString, Point, MultiPoint
fp = "\TM_WORLD_BORDERS-0.3\TM_WORLD_BORDERS-0.3.shp"
data = gpd.read_file(fp)
mycountries = ['Canada','Russia']
req_data = data[data.NAME.isin(mycountries)]
req_data = req_data.reset_index()
req_data = req_data.drop('index',axis=1)
polygons = [req_data['geometry'][0],req_data['geometry'][1]]
boundary = gpd.GeoSeries(cascaded_union(polygons))
boundary.plot(color = 'black')
plt.show()
I require that when I calculate the distance of two points (as shown on the map: red dots) from the MultiPolygon, it should consider Canada for the one in the left side and Russia for the right one. Also, the distance in miles/km.
I tried using distance function but the result which I am getting is not correct. Moreover, if I consider point somewhere in the Indian Ocean, it gives a result as 0
which is again not what I require.
Shapefile can be downloaded from the TM_WORLD_BORDERS-0.3.zip file available at http://thematicmapping.org/downloads/world_borders.php
python polygon distance shapely geopandas
python polygon distance shapely geopandas
New contributor
New contributor
edited 50 secs ago
Taras
2,2342727
2,2342727
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asked 3 hours ago
ansmalansmal
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