【发布时间】:2021-09-26 12:20:21
【问题描述】:
我有兴趣绘制哥德堡市(英语为瑞典哥德堡)的数据。我从瑞典的 shapefile 开始,然后将它们剪裁以集中我在哥德堡的学习。
# Extracting Göteborg boundary
boundary = adm_2.loc[(adm_2["NAME_2"] == "Göteborg")].copy()
boundary
>>
ID_0 ISO NAME_0 ID_1 NAME_1 ID_2 NAME_2 TYPE_2 ENGTYPE_2 NL_NAME_2 VARNAME_2 geometry
246 222 SWE Sweden 21 Västra Götaland 247 Göteborg Kommuner Municipality None None MULTIPOLYGON (((12.09368 57.67838, 12.09466 57...
# Clipping the shapefiles
roads = geopandas.clip(roads_sweden, boundary)
buildings = geopandas.clip(buildings_sweden, boundary)
#roads.shape #(9747, 7)
#roads_sweden.shape #(148403, 7)
#buildings.shape #(1163, 4)
#buildings_sweden.shape #(15253, 4)
如果我绘制所有道路,即roads_sweden。我有所有瑞典行的情节。但是,当尝试仅绘制哥德堡的道路时,出现错误:
IndexError:数组索引过多:数组是一维的,但有 2 个被索引
我不明白为什么它们看起来一样。我什至尝试重置索引,但这似乎无关。
对于我正在使用的情节:
fig, ax = plt.subplots(figsize=(12, 10), facecolor='white', edgecolor='k')
boundary.plot(ax=ax, facecolor= "white", edgecolor="black", linewidth=.5)
roads.plot(ax=ax)
buildings.plot(ax=ax)
即使单独完成,即roads.plot(),我也会得到错误。 road_sweden.plot() 总是可以正常工作。
这是数据的一些预览
roads_sweden.head()
>>
osm_id name ref type oneway maxspeed geometry
0 1240 Klensmedsvägen None unclassified 0 0 LINESTRING (17.99027 59.29686, 17.99182 59.296...
1 1241 Hyvelvägen None residential 0 0 LINESTRING (17.99273 59.29666, 17.99212 59.295...
2 1242 Spikvägen None residential 0 0 LINESTRING (17.99353 59.29640, 17.99299 59.295...
3 1243 Bultvägen None residential 0 0 LINESTRING (17.99439 59.29617, 17.99385 59.295...
4 1245 Tångvägen None residential 0 0 LINESTRING (17.99691 59.29512, 17.99637 59.294...
roads.head()
>>
osm_id name ref type oneway maxspeed geometry
0 3846609 None None motorway_link 1 0 LINESTRING (12.09100 57.67369, 12.09090 57.673...
1 4040303 E6 None motorway 0 0 LINESTRING (12.00496 57.84283, 12.00525 57.841...
2 4040436 None None motorway_link 1 0 LINESTRING (12.00643 57.79800, 12.00560 57.796...
3 4040439 None E 20 motorway 1 0 LINESTRING (11.99463 57.71530, 11.99492 57.715...
4 4040441 None E 20 motorway 1 0 LINESTRING (11.99520 57.71580, 11.99434 57.71536)
数据来源
行政区域(见区域2):https://www.diva-gis.org/datadown
道路和建筑物:https://mapcruzin.com/free-sweden-arcgis-maps-shapefiles.htm
【问题讨论】:
标签: python pandas shapefile geopandas clipping