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gboeing / osmnx-examples

Gallery of OSMnx tutorials, usage examples, and feature demonstations.
https://osmnx.readthedocs.io
MIT License
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TypeError: unhashable type: 'dict' on first example in 00-osmnx-features-demo.ipynb #31

Closed jayurbain closed 4 years ago

jayurbain commented 4 years ago

get a graph for some city

G = ox.graph_from_place('Piedmont, California, USA', network_type='drive') fig, ax = ox.plot_graph(G)

Installed per instructions on Mac OS. Terminal output and error output follow.

Any direction would be appreciated. Thanks, Jay

Output from terminal looks good except the last line (notebook not trusted): Posting to http://overpass-api.de/api/interpreter with timeout=180, "{'data': '[out:json][timeout:180];(way["highway"]["area"!~"yes"]["highway"!~"cycleway|footway|path|pedestrian|steps|track|corridor|elevator|escalator|proposed|construction|bridleway|abandoned|platform|raceway|service"]["motor_vehicle"!~"no"]["motorcar"!~"no"]["access"!~"private"]["service"!~"parking|parking_aisle|driveway|private|emergency_access"](poly:"37.823113 -122.255010 37.823199 -122.255027 37.823651 -122.255055 37.824104 -122.255026 37.824552 -122.254940 37.824991 -122.254797 37.825417 -122.254600 37.825824 -122.254350 37.826210 -122.254049 37.826569 -122.253701 37.826799 -122.253455 37.826915 -122.253330 37.827176 -122.253244 37.827377 -122.253178 37.827800 -122.253010 37.828208 -122.252791 37.828597 -122.252523 37.828964 -122.252207 37.829303 -122.251848 37.829613 -122.251448 37.829891 -122.251012 37.830143 -122.250573 37.830803 -122.249429 37.830839 -122.249407 37.831197 -122.249128 37.831286 -122.249052 37.832123 -122.248407 37.832393 -122.248200 37.832408 -122.248188 37.832448 -122.248157 37.832806 -122.247849 37.833139 -122.247498 37.833444 -122.247109 37.833717 -122.246685 37.833957 -122.246229 37.834162 -122.245747 37.834328 -122.245241 37.834455 -122.244718 37.834542 -122.244183 37.834587 -122.243639 37.834589 -122.243372 37.834678 -122.243039 37.834731 -122.242827 37.834764 -122.242685 37.834890 -122.241972 37.834909 -122.241820 37.834955 -122.241306 37.834963 -122.241152 37.834972 -122.240864 37.834984 -122.239854 37.834988 -122.239743 37.835013 -122.239561 37.835040 -122.239289 37.835061 -122.239227 37.835189 -122.238722 37.835278 -122.238205 37.835314 -122.237839 37.835348 -122.237717 37.835448 -122.237227 37.835481 -122.237028 37.835520 -122.236796 37.835555 -122.236603 37.835691 -122.235869 37.835737 -122.235620 37.835738 -122.235611 37.835971 -122.234342 37.836041 -122.233967 37.836454 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"cache/2e68726eb0121fe5f6f00f39771d3830.json" Got all network data within polygon from API in 1 request(s) and 9.30 seconds Creating networkx graph from downloaded OSM data... Created graph with 5,578 nodes and 10,929 edges in 0.15 seconds Added edge lengths to graph in 0.09 seconds Identifying all nodes that lie outside the polygon... Created r-tree spatial index for 5,578 points in 0.21 seconds [I 05:13:43.513 NotebookApp] Saving file at /osmnx-examples/notebooks/00-osmnx-features-demo.ipynb [W 05:13:43.514 NotebookApp] Notebook osmnx-examples/notebooks/00-osmnx-features-demo.ipynb is not trusted

Error output:

TypeError Traceback (most recent call last)

in 1 # get a graph for some city ----> 2 G = ox.graph_from_place('Piedmont, California, USA', network_type='drive') 3 fig, ax = ox.plot_graph(G) ~/anaconda3/envs/ox/lib/python3.8/site-packages/osmnx/core.py in graph_from_place(query, network_type, simplify, retain_all, truncate_by_edge, name, which_result, buffer_dist, timeout, memory, max_query_area_size, clean_periphery, infrastructure, custom_filter) 1443 1444 # create graph using this polygon(s) geometry -> 1445 G = graph_from_polygon(polygon, network_type=network_type, simplify=simplify, 1446 retain_all=retain_all, truncate_by_edge=truncate_by_edge, 1447 name=name, timeout=timeout, memory=memory, ~/anaconda3/envs/ox/lib/python3.8/site-packages/osmnx/core.py in graph_from_polygon(polygon, network_type, simplify, retain_all, truncate_by_edge, name, timeout, memory, max_query_area_size, clean_periphery, infrastructure, custom_filter) 1324 G_buffered = create_graph(response_jsons, name=name, retain_all=True, 1325 bidirectional=network_type in settings.bidirectional_network_types) -> 1326 G_buffered = truncate_graph_polygon(G_buffered, polygon_buffered, retain_all=True, truncate_by_edge=truncate_by_edge) 1327 1328 # simplify the graph topology ~/anaconda3/envs/ox/lib/python3.8/site-packages/osmnx/core.py in truncate_graph_polygon(G, polygon, retain_all, truncate_by_edge, quadrat_width, min_num, buffer_amount) 731 732 # find all the nodes in the graph that lie outside the polygon --> 733 points_within_geometry = intersect_index_quadrats(gdf_nodes, polygon, quadrat_width=quadrat_width, min_num=min_num, buffer_amount=buffer_amount) 734 nodes_outside_polygon = gdf_nodes[~gdf_nodes.index.isin(points_within_geometry.index)] 735 ~/anaconda3/envs/ox/lib/python3.8/site-packages/osmnx/core.py in intersect_index_quadrats(gdf, geometry, quadrat_width, min_num, buffer_amount) 678 # drop duplicate points, if buffered poly caused an overlap on point(s) 679 # that lay directly on a quadrat line --> 680 points_within_geometry = points_within_geometry.drop_duplicates(subset='node') 681 else: 682 # after simplifying the graph, and given the requested network type, ~/anaconda3/envs/ox/lib/python3.8/site-packages/pandas/core/frame.py in drop_duplicates(self, subset, keep, inplace, ignore_index) 4806 4807 inplace = validate_bool_kwarg(inplace, "inplace") -> 4808 duplicated = self.duplicated(subset, keep=keep) 4809 4810 if inplace: ~/anaconda3/envs/ox/lib/python3.8/site-packages/pandas/core/frame.py in duplicated(self, subset, keep) 4883 4884 vals = (col.values for name, col in self.items() if name in subset) -> 4885 labels, shape = map(list, zip(*map(f, vals))) 4886 4887 ids = get_group_index(labels, shape, sort=False, xnull=False) ~/anaconda3/envs/ox/lib/python3.8/site-packages/pandas/core/frame.py in f(vals) 4857 4858 def f(vals): -> 4859 labels, shape = algorithms.factorize( 4860 vals, size_hint=min(len(self), _SIZE_HINT_LIMIT) 4861 ) ~/anaconda3/envs/ox/lib/python3.8/site-packages/pandas/core/algorithms.py in factorize(values, sort, na_sentinel, size_hint) 627 na_value = None 628 --> 629 codes, uniques = _factorize_array( 630 values, na_sentinel=na_sentinel, size_hint=size_hint, na_value=na_value 631 ) ~/anaconda3/envs/ox/lib/python3.8/site-packages/pandas/core/algorithms.py in _factorize_array(values, na_sentinel, size_hint, na_value) 476 477 table = hash_klass(size_hint or len(values)) --> 478 uniques, codes = table.factorize(values, na_sentinel=na_sentinel, na_value=na_value) 479 480 codes = ensure_platform_int(codes) pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.factorize() pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable._unique() TypeError: unhashable type: 'dict'
gboeing commented 4 years ago

The notebook works fine for me. Can you provide a complete minimal working example code snippet inline here?

gboeing commented 4 years ago

Looks like same issue as https://github.com/gboeing/osmnx/issues/372

Pushing a fix there now.

jayurbain commented 4 years ago

First, thanks for your help.

First, I show conda install. Followed by minimal example. Next, I attempt a pip install which fails.

Any direction is appreciated.

Jay

$ conda create -n ox --strict-channel-priority osmnx python=3.7 (note: I also tried the default 3.8)

$ conda activate ox

$ python

Python 3.7.6 | packaged by conda-forge | (default, Jan 7 2020, 22:05:27)

[Clang 9.0.1 ] on darwin

Type "help", "copyright", "credits" or "license" for more information.

import osmnx as ox

G = ox.graph_from_place('Manhattan Island, New York City, New York, USA', network_type='drive')

Traceback (most recent call last):

File "", line 1, in

File "/Users/jayurbain/anaconda3/envs/ox/lib/python3.7/site-packages/osmnx/core.py", line 1450, in graph_from_place

custom_filter=custom_filter)

File "/Users/jayurbain/anaconda3/envs/ox/lib/python3.7/site-packages/osmnx/core.py", line 1326, in graph_from_polygon

G_buffered = truncate_graph_polygon(G_buffered, polygon_buffered,

retain_all=True, truncate_by_edge=truncate_by_edge)

File "/Users/jayurbain/anaconda3/envs/ox/lib/python3.7/site-packages/osmnx/core.py", line 733, in truncate_graph_polygon

points_within_geometry = intersect_index_quadrats(gdf_nodes, polygon,

quadrat_width=quadrat_width, min_num=min_num, buffer_amount=buffer_amount)

File "/Users/jayurbain/anaconda3/envs/ox/lib/python3.7/site-packages/osmnx/core.py", line 680, in intersect_index_quadrats

points_within_geometry =

points_within_geometry.drop_duplicates(subset='node')

File "/Users/jayurbain/anaconda3/envs/ox/lib/python3.7/site-packages/pandas/core/frame.py", line 4808, in drop_duplicates

duplicated = self.duplicated(subset, keep=keep)

File "/Users/jayurbain/anaconda3/envs/ox/lib/python3.7/site-packages/pandas/core/frame.py", line 4885, in duplicated

labels, shape = map(list, zip(*map(f, vals)))

File "/Users/jayurbain/anaconda3/envs/ox/lib/python3.7/site-packages/pandas/core/frame.py", line 4860, in f

vals, size_hint=min(len(self), _SIZE_HINT_LIMIT)

File "/Users/jayurbain/anaconda3/envs/ox/lib/python3.7/site-packages/pandas/core/algorithms.py", line 630, in factorize

values, na_sentinel=na_sentinel, size_hint=size_hint, na_value=na_value

File "/Users/jayurbain/anaconda3/envs/ox/lib/python3.7/site-packages/pandas/core/algorithms.py", line 478, in _factorize_array

uniques, codes = table.factorize(values, na_sentinel=na_sentinel,

na_value=na_value)

File "pandas/_libs/hashtable_class_helper.pxi", line 1806, in pandas._libs.hashtable.PyObjectHashTable.factorize

File "pandas/_libs/hashtable_class_helper.pxi", line 1726, in pandas._libs.hashtable.PyObjectHashTable._unique

TypeError: unhashable type: 'dict'

$ conda list

packages in environment at /Users/jayurbain/anaconda3/envs/ox:

#

Name Version Build Channel

attrs 19.3.0 py_0 conda-forge

boost-cpp 1.70.0 h75728bb_2 conda-forge

branca 0.3.1 py_0 conda-forge

bzip2 1.0.8 h0b31af3_2 conda-forge

ca-certificates 2019.11.28 hecc5488_0 conda-forge

cairo 1.16.0 he1c11cd_1002 conda-forge

certifi 2019.11.28 py37_0 conda-forge

cffi 1.13.2 py37h33e799b_0 conda-forge

cfitsio 3.470 h84d2f63_2 conda-forge

chardet 3.0.4 py37_1003 conda-forge

click 7.0 py_0 conda-forge

click-plugins 1.1.1 py_0 conda-forge

cligj 0.5.0 py_0 conda-forge

cryptography 2.8 py37hafa8578_1 conda-forge

curl 7.65.3 h22ea746_0 conda-forge

cycler 0.10.0 py_2 conda-forge

decorator 4.4.1 py_0 conda-forge

descartes 1.1.0 py_4 conda-forge

expat 2.2.9 h4a8c4bd_2 conda-forge

fiona 1.8.13 py37he71f6a4_0 conda-forge

folium 0.10.1 py_0 conda-forge

fontconfig 2.13.1 h6b1039f_1001 conda-forge

freetype 2.10.0 h24853df_1 conda-forge

freexl 1.0.5 h1de35cc_1002 conda-forge

gdal 3.0.4 py37h97c3584_0 conda-forge

geographiclib 1.50 py_0 conda-forge

geopandas 0.6.2 py_0 conda-forge

geopy 1.20.0 py_0 conda-forge

geos 3.8.0 h4a8c4bd_0 conda-forge

geotiff 1.5.1 hc9fff18_8 conda-forge

gettext 0.19.8.1 h46ab8bc_1002 conda-forge

giflib 5.2.1 h0b31af3_1 conda-forge

glib 2.58.3 py37h577aef8_1002 conda-forge

hdf4 4.2.13 h84186c3_1003 conda-forge

hdf5 1.10.5 nompi_h3e39495_1104 conda-forge

icu 64.2 h6de7cb9_1 conda-forge

idna 2.8 py37_1000 conda-forge

jinja2 2.11.1 py_0 conda-forge

joblib 0.14.1 py_0 conda-forge

jpeg 9c h1de35cc_1001 conda-forge

json-c 0.13.1 h1de35cc_1001 conda-forge

kealib 1.4.10 h6659575_1005 conda-forge

kiwisolver 1.1.0 py37ha1b3eb9_0 conda-forge

krb5 1.16.4 h1752a42_0 conda-forge

libblas 3.8.0 14_openblas conda-forge

libcblas 3.8.0 14_openblas conda-forge

libcurl 7.65.3 h16faf7d_0 conda-forge

libcxx 9.0.1 1 conda-forge

libdap4 3.20.4 habf5908_0 conda-forge

libedit 3.1.20170329 hcfe32e1_1001 conda-forge

libffi 3.2.1 h6de7cb9_1006 conda-forge

libgdal 3.0.4 hf96e369_0 conda-forge

libgfortran 4.0.0 2 conda-forge

libiconv 1.15 h01d97ff_1005 conda-forge

libkml 1.3.0 hed7d534_1010 conda-forge

liblapack 3.8.0 14_openblas conda-forge

libnetcdf 4.7.3 nompi_hda4e5f1_101 conda-forge

libopenblas 0.3.7 h3d69b6c_7 conda-forge

libpng 1.6.37 h2573ce8_0 conda-forge

libpq 12.1 h31a01ba_0 conda-forge

libspatialindex 1.9.3 h4a8c4bd_1 conda-forge

libspatialite 4.3.0a h9c28a66_1034 conda-forge

libssh2 1.8.2 hcdc9a53_2 conda-forge

libtiff 4.1.0 ha78913b_3 conda-forge

libwebp 1.0.2 hd3bf737_5 conda-forge

libxml2 2.9.10 h53d96d6_0 conda-forge

llvm-openmp 9.0.1 h28b9765_2 conda-forge

lz4-c 1.8.3 h6de7cb9_1001 conda-forge

markupsafe 1.1.1 py37h0b31af3_0 conda-forge

matplotlib 3.1.2 py37_1 conda-forge

matplotlib-base 3.1.2 py37h11da6c2_1 conda-forge

munch 2.5.0 py_0 conda-forge

ncurses 6.1 h0a44026_1002 conda-forge

networkx 2.4 py_0 conda-forge

numpy 1.17.5 py37hde6bac1_0 conda-forge

openjpeg 2.3.1 hcdae239_3 conda-forge

openssl 1.1.1d h0b31af3_0 conda-forge

osmnx 0.11.3 py_0 conda-forge

pandas 1.0.0 py37h4f17bb1_0 conda-forge

pcre 8.43 h4a8c4bd_0 conda-forge

pip 20.0.2 py37_1 conda-forge

pixman 0.38.0 h01d97ff_1003 conda-forge

poppler 0.67.0 h16886b5_8 conda-forge

poppler-data 0.4.9 1 conda-forge

postgresql 12.1 h26bc10f_0 conda-forge

proj 6.3.0 h773a61f_0 conda-forge

pycparser 2.19 py37_1 conda-forge

pyopenssl 19.1.0 py37_0 conda-forge

pyparsing 2.4.6 py_0 conda-forge

pyproj 2.4.2.post1 py37hf8af742_1 conda-forge

pysocks 1.7.1 py37_0 conda-forge

python 3.7.6 h5c2c468_2 conda-forge

python-dateutil 2.8.1 py_0 conda-forge

pytz 2019.3 py_0 conda-forge

readline 8.0 hcfe32e1_0 conda-forge

requests 2.22.0 py37_1 conda-forge

rtree 0.9.3 py37h7b0cdae_0 conda-forge

scikit-learn 0.22.1 py37h3dc85bc_1 conda-forge

scipy 1.4.1 py37h82752d6_0 conda-forge

setuptools 45.1.0 py37_0 conda-forge

shapely 1.7.0 py37h999ffa5_0 conda-forge

six 1.14.0 py37_0 conda-forge

sqlite 3.30.1 h93121df_0 conda-forge

tbb 2018.0.5 h2d50403_0 conda-forge

tiledb 1.7.0 hd5e958f_2 conda-forge

tk 8.6.10 hbbe82c9_0 conda-forge

tornado 6.0.3 py37h0b31af3_0 conda-forge

tzcode 2019a h01d97ff_1002 conda-forge

urllib3 1.25.7 py37_0 conda-forge

vincent 0.4.4 py_1 conda-forge

wheel 0.34.2 py37_0 conda-forge

xerces-c 3.2.2 hbda6038_1004 conda-forge

xz 5.2.4 h1de35cc_1001 conda-forge

zlib 1.2.11 h0b31af3_1006 conda-forge

zstd 1.4.4 he7fca8b_1 conda-forge

I tried pip install:

$ conda create -n oxpip python=3.7

$ pip install osmnx

$ conda activate oxpip

Collecting osmnx

Downloading osmnx-0.11.3-py2.py3-none-any.whl (76 kB)

 |████████████████████████████████| 76 kB 4.0 MB/s

Collecting networkx>=2.4

Downloading networkx-2.4-py3-none-any.whl (1.6 MB)

 |████████████████████████████████| 1.6 MB 4.7 MB/s

Collecting numpy>=1.17

Downloading numpy-1.18.1-cp37-cp37m-macosx_10_9_x86_64.whl (15.1 MB)

 |████████████████████████████████| 15.1 MB 5.2 MB/s

Collecting pandas>=0.25

Downloading pandas-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl (9.8 MB)

 |████████████████████████████████| 9.8 MB 1.4 MB/s

Collecting Shapely>=1.6

Downloading Shapely-1.7.0-cp37-cp37m-macosx_10_9_x86_64.whl (1.6 MB)

 |████████████████████████████████| 1.6 MB 2.4 MB/s

Collecting geopandas>=0.6

Downloading geopandas-0.6.2-py2.py3-none-any.whl (919 kB)

 |████████████████████████████████| 919 kB 4.0 MB/s

Collecting Rtree>=0.9

Downloading Rtree-0.9.3.tar.gz (520 kB)

 |████████████████████████████████| 520 kB 16.0 MB/s

ERROR: Command errored out with exit status 1:

 command: /Users/jayurbain/anaconda3/envs/oxpip/bin/python -c 'import

sys, setuptools, tokenize; sys.argv[0] = '"'"'/private/var/folders/q1/cx25m0ld5dngl6ww020_4vhh0000gn/T/pip-install-329jdo3q/Rtree/setup.py'"'"'; file='"'"'/private/var/folders/q1/cx25m0ld5dngl6ww020_4vhh0000gn/T/pip-install-329jdo3q/Rtree/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' egg_info --egg-base /private/var/folders/q1/cx25m0ld5dngl6ww020_4vhh0000gn/T/pip-install-329jdo3q/Rtree/pip-egg-info

     cwd:

/private/var/folders/q1/cx25m0ld5dngl6ww020_4vhh0000gn/T/pip-install-329jdo3q/Rtree/

Complete output (15 lines):

Traceback (most recent call last):

  File "<string>", line 1, in <module>

  File

"/private/var/folders/q1/cx25m0ld5dngl6ww020_4vhh0000gn/T/pip-install-329jdo3q/Rtree/setup.py", line 3, in 

    import rtree

  File

"/private/var/folders/q1/cx25m0ld5dngl6ww020_4vhh0000gn/T/pip-install-329jdo3q/Rtree/rtree/init.py", line 1, in 

    from .index import Rtree

  File

"/private/var/folders/q1/cx25m0ld5dngl6ww020_4vhh0000gn/T/pip-install-329jdo3q/Rtree/rtree/index.py", line 6, in 

    from . import core

  File

"/private/var/folders/q1/cx25m0ld5dngl6ww020_4vhh0000gn/T/pip-install-329jdo3q/Rtree/rtree/core.py", line 145, in 

    rt.Error_GetLastErrorNum.restype = ctypes.c_int

  File

"/Users/jayurbain/anaconda3/envs/oxpip/lib/python3.7/ctypes/init.py", line 377, in getattr

    func = self.__getitem__(name)

  File

"/Users/jayurbain/anaconda3/envs/oxpip/lib/python3.7/ctypes/init.py", line 382, in getitem

    func = self._FuncPtr((name_or_ordinal, self))

AttributeError: dlsym(RTLD_DEFAULT, Error_GetLastErrorNum): symbol not

found

----------------------------------------

ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.

On Fri, Jan 31, 2020 at 9:04 AM Geoff Boeing notifications@github.com wrote:

The notebook works fine for me. Can you provide a complete minimal working example code snippet inline here?

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/gboeing/osmnx-examples/issues/31?email_source=notifications&email_token=AA4OPUSXV3IVFK2GTVSL3Q3RARK2DA5CNFSM4KOG5LQ2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEKPJ4JI#issuecomment-580820517, or unsubscribe https://github.com/notifications/unsubscribe-auth/AA4OPUQWADYC6T2DDPW6AT3RARK2DANCNFSM4KOG5LQQ .

gboeing commented 4 years ago

Like I mentioned in the comment above (https://github.com/gboeing/osmnx-examples/issues/31#issuecomment-580851872), this has been fixed and pushed. It is in process of being released in v0.11.4.

jayurbain commented 4 years ago

It now works!

Thanks, Jay

On Fri, Jan 31, 2020 at 11:34 AM Geoff Boeing notifications@github.com wrote:

Like I mentioned in the comment above (#31 (comment) https://github.com/gboeing/osmnx-examples/issues/31#issuecomment-580851872), this has been fixed and pushed. It is in process of being released in v0.11.4.

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/gboeing/osmnx-examples/issues/31?email_source=notifications&email_token=AA4OPUUFYLACS37WR5ULM73RAR4LVA5CNFSM4KOG5LQ2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEKPYAZI#issuecomment-580878437, or unsubscribe https://github.com/notifications/unsubscribe-auth/AA4OPUXQ6WTTVAIJCDNE463RAR4LVANCNFSM4KOG5LQQ .