这意味着你只能认为你已经成功安装osmnx或它的一个依赖项。
当然很大程度上取决于如何安装osmnx - 当我在它与失败对我来说是虚拟环境PIP尝试：
Collecting OSMnx
Downloading osmnx-0.5.3-py2.py3-none-any.whl (54kB)
100% |████████████████████████████████| 61kB 183kB/s
Collecting shapely>=1.5 (from OSMnx)
Downloading Shapely-1.6.0.tar.gz (214kB)
100% |████████████████████████████████| 215kB 2.0MB/s
Complete output from command python setup.py egg_info:
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Users\STEVE-~1\AppData\Local\Temp\pip-build-9uqvlpcm\shapely\setup.py", line 80, in <module>
from shapely._buildcfg import geos_version_string, geos_version, \
File "C:\Users\STEVE-~1\AppData\Local\Temp\pip-build-9uqvlpcm\shapely\shapely\_buildcfg.py", line 200, in <module>
lgeos = CDLL("geos_c.dll")
File "C:\Python36_64\lib\ctypes\__init__.py", line 344, in __init__
self._handle = _dlopen(self._name, mode)
OSError: [WinError 126] The specified module could not be found
----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in C:\Users\STEVE-~1\AppData\Local\Temp\pip-build-9uqvlpcm\shapely\
要http://www.lfd.uci.edu/~gohlke/pythonlibs/#shapely给了我一个下载蟒蛇我使用3.6（64位）我通过下载安装，然后在下载的文件上使用pip。
重新运行pip install OSMnx我的下一个问题是与菲奥娜的编译，所以克里斯Gohlke救援再次http://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona其中有一个音符“要求@中”，所以我跳上到http://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal而我在那里并安装了第一。
上运行的第一个导入我：
>>> import osmnx as ox
Traceback (most recent call last):
File "F:\toolbuild\test_OSMnx\lib\site-packages\numpy\core\__init__.py", line 16, in <module>
from . import multiarray
ImportError: DLL load failed: The specified procedure could not be found.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "F:\toolbuild\test_OSMnx\lib\site-packages\osmnx\__init__.py", line 8, in <module>
from .buildings import *
File "F:\toolbuild\test_OSMnx\lib\site-packages\osmnx\buildings.py", line 9, in <module>
import geopandas as gpd
File "F:\toolbuild\test_OSMnx\lib\site-packages\geopandas\__init__.py", line 1, in <module>
from geopandas.geoseries import GeoSeries
File "F:\toolbuild\test_OSMnx\lib\site-packages\geopandas\geoseries.py", line 5, in <module>
import numpy as np
File "F:\toolbuild\test_OSMnx\lib\site-packages\numpy\__init__.py", line 142, in <module>
from . import add_newdocs
File "F:\toolbuild\test_OSMnx\lib\site-packages\numpy\add_newdocs.py", line 13, in <module>
from numpy.lib import add_newdoc
File "F:\toolbuild\test_OSMnx\lib\site-packages\numpy\lib\__init__.py", line 8, in <module>
from .type_check import *
File "F:\toolbuild\test_OSMnx\lib\site-packages\numpy\lib\type_check.py", line 11, in <module>
import numpy.core.numeric as _nx
File "F:\toolbuild\test_OSMnx\lib\site-packages\numpy\core\__init__.py", line 26, in <module>
raise ImportError(msg)
ImportError:
Importing the multiarray numpy extension module failed. Most
likely you are trying to import a failed build of numpy.
If you're working with a numpy git repo, try `git clean -xdf` (removes all
files not under version control). Otherwise reinstall numpy.
Original error was: DLL load failed: The specified procedure could not be found.
我已经注意到，它似乎是numpy的已安装正确，但我知道，有可能是与它的问题，以便关闭以http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy，我们找到一张纸条： “Numpy + MKL链接到英特尔®数学内核库，并在numpy.core目录中包含所需的DLL。”所以我再次下载并安装。
现在，我在你的阶段：
> import osmnx as ox
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "F:\toolbuild\test_OSMnx\lib\site-packages\osmnx\__init__.py", line 8, in <module>
from .buildings import *
File "F:\toolbuild\test_OSMnx\lib\site-packages\osmnx\buildings.py", line 9, in <module>
import geopandas as gpd
File "F:\toolbuild\test_OSMnx\lib\site-packages\geopandas\__init__.py", line 1, in <module>
from geopandas.geoseries import GeoSeries
File "F:\toolbuild\test_OSMnx\lib\site-packages\geopandas\geoseries.py", line 16, in <module>
from geopandas.base import GeoPandasBase
File "F:\toolbuild\test_OSMnx\lib\site-packages\geopandas\base.py", line 15, in <module>
from rtree.core import RTreeError
File "F:\toolbuild\test_OSMnx\lib\site-packages\rtree\__init__.py", line 1, in <module>
from .index import Rtree
File "F:\toolbuild\test_OSMnx\lib\site-packages\rtree\index.py", line 5, in <module>
from . import core
File "F:\toolbuild\test_OSMnx\lib\site-packages\rtree\core.py", line 116, in <module>
raise OSError("could not find or load spatialindex_c.dll")
OSError: could not find or load spatialindex_c.dll
看起来问题出在RTREE等客到http://www.lfd.uci.edu/~gohlke/pythonlibs/#rtree（注意，这时候我们要pip uninstall rtree第一）
尝试你的代码，添加了一对换行符，再次出现一个错误，即超过lat长限制，因此调换两个值来设置point=(31.22, 121.48)，我得到一个图像，例如： 
从
：
>>> fig,ax=ox.plot_figure_ground(point=point,filename=place,network_type='all',dpi=150)
Projected the GeoDataFrame "geometry to project" to UTM-51 in 0.00 seconds
Projected the GeoDataFrame "geometry to project" to EPSG 4326 in 0.00 seconds
Created bounding box 966.0 meters in each direction from (31.22, 121.48): 31.228713053594067,31.211286934028642,121.49013858668467,121.46986147388169
Projected the GeoDataFrame "geometry to project" to UTM-51 in 0.00 seconds
Projected the GeoDataFrame "geometry to project" to EPSG 4326 in 0.00 seconds
Requesting network data within bounding box from API in 1 request(s)
Pausing 0.00 seconds before making API POST request
Posting to http://www.overpass-api.de/api/interpreter with timeout=180, "{'data': '[out:json][timeout:180];(way["highway"]["area"!~"yes"]["highway"!~"proposed|construction|abandoned|platform|raceway"]["service"!~"private"]["access"!~"private"](31.21128693,121.46986147,31.22871305,121.49013859);>;);out;'}"
Downloaded 480.6KB from www.overpass-api.de in 2.13 seconds
Saved response to cache file "cache/8c99e35743a557d7234621c6d3fd7139.json"
Got all network data within bounding box from API in 1 request(s) and 2.99 seconds
Creating networkx graph from downloaded OSM data...
Graph was not connected, retained only the largest weakly connected component (3,366 of 3,540 total nodes) in 0.15 seconds
Created graph with 3,366 nodes and 6,926 edges in 0.19 seconds
Added edge lengths to graph in 0.05 seconds
Truncated graph by bounding box in 0.14 seconds
Removed 0 isolated nodes
Graph was not connected, retained only the largest weakly connected component (2,764 of 2,779 total nodes) in 0.13 seconds
graph_from_bbox() returning graph with 2,764 nodes and 5,892 edges
graph_from_point() returning graph with 2,764 nodes and 5,892 edges
Begin topologically simplifying the graph...
Identified 1,568 edge endpoints in 0.04 seconds
Constructed all paths to simplify in 0.01 seconds
Simplified graph (from 2,764 to 1,568 nodes and from 5,892 to 3,730 edges) in 0.15 seconds
Created a GeoDataFrame from graph in 0.10 seconds
Projected the GeoDataFrame "unnamed_nodes" to UTM-51 in 0.07 seconds
Projected the GeoDataFrame "unnamed_edges" to UTM-51 in 0.29 seconds
Extracted projected node geometries from GeoDataFrame in 0.04 seconds
Rebuilt projected graph in 1.53 seconds
Projected the GeoDataFrame "geometry to project" to UTM-51 in 0.00 seconds
Created bounding box 805 meters in each direction from (31.22, 121.48) and projected it: 3455784.445871858,3454174.445871858,356022.8750159489,354412.8750159489
Begin plotting the graph...
Drew the graph edges in 0.05 seconds
Saved the figure to disk in 0.11 seconds
这是伟大的！谢谢您的回答，我另谋出路，只是用“康达安装-c畅达锻osmnx”。 – zara