osm.get_network() returning None type after one use
hulsiejames opened this issue · 5 comments
hulsiejames commented
I think there may be a bug or at least issue within the OSM.get_network() function?
For reproducibility, this error has occurred on a system running Windows 10 (10.0.18363 Build 18363) with 16GB Ram and a i5-10310U Processor running python within a conda environment with the following packages installed.
(OSMforPython) C:\>conda list
# packages in environment at C:\Users\medjjch\Anaconda3\envs\OSMforPython:
#
# Name Version Build Channel
alabaster 0.7.12 pyhd3eb1b0_0
appdirs 1.4.4 pyhd3eb1b0_0
argon2-cffi 21.3.0 pyhd3eb1b0_0
argon2-cffi-bindings 21.2.0 py38h2bbff1b_0
arrow 1.2.2 pyhd3eb1b0_0
astroid 2.6.6 py38haa95532_0
asttokens 2.0.5 pyhd3eb1b0_0
atomicwrites 1.4.0 py_0
attrs 21.4.0 pyhd3eb1b0_0
autopep8 1.6.0 pyhd3eb1b0_0
aws-c-common 0.4.57 ha925a31_1
aws-c-event-stream 0.1.6 hd77b12b_5
aws-checksums 0.1.9 ha925a31_0
aws-sdk-cpp 1.8.185 hd77b12b_0
babel 2.9.1 pyhd3eb1b0_0
backcall 0.2.0 pyhd3eb1b0_0
bcrypt 3.2.0 py38he774522_0
binaryornot 0.4.4 pyhd3eb1b0_1
black 19.10b0 py_0
blas 1.0 mkl
bleach 4.1.0 pyhd3eb1b0_0
blosc 1.21.0 h0e60522_0 conda-forge
boost-cpp 1.74.0 h9f4b32c_8 conda-forge
bottleneck 1.3.4 py38h080aedc_0
branca 0.4.2 pyhd8ed1ab_0 conda-forge
brotli 1.0.9 ha925a31_2
brotlipy 0.7.0 py38h2bbff1b_1003
bzip2 1.0.8 he774522_0
ca-certificates 2021.10.8 h5b45459_0 conda-forge
cairo 1.16.0 h15b3021_1010 conda-forge
certifi 2021.10.8 py38haa244fe_2 conda-forge
cffi 1.15.0 py38h2bbff1b_1
cfitsio 4.1.0 h5a969a9_0 conda-forge
chardet 4.0.0 py38haa95532_1003
charset-normalizer 2.0.4 pyhd3eb1b0_0
click 7.1.2 pyhd3eb1b0_0
click-plugins 1.1.1 pyhd3eb1b0_0
cligj 0.7.2 py38haa95532_0
cloudpickle 2.0.0 pyhd3eb1b0_0
colorama 0.4.4 pyhd3eb1b0_0
confuse 1.5.0 pyhd3eb1b0_0
cookiecutter 1.7.3 pyhd3eb1b0_0
cryptography 36.0.0 py38h21b164f_0
curl 7.82.0 h2bbff1b_0
cycler 0.11.0 pyhd3eb1b0_0
cykhash 2.0.0 py38h885f38d_1 conda-forge
cython 0.29.28 py38h885f38d_2 conda-forge
debugpy 1.5.1 py38hd77b12b_0
decorator 5.1.1 pyhd3eb1b0_0
defusedxml 0.7.1 pyhd3eb1b0_0
descartes 1.1.0 py_4 conda-forge
diff-match-patch 20200713 pyhd3eb1b0_0
docutils 0.17.1 py38haa95532_1
entrypoints 0.3 py38_0
executing 0.8.3 pyhd3eb1b0_0
expat 2.4.8 h39d44d4_0 conda-forge
fiona 1.8.21 py38h19672d5_0 conda-forge
flake8 3.9.2 pyhd3eb1b0_0
folium 0.12.1.post1 pyhd8ed1ab_1 conda-forge
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.0 hce3cb01_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.10.4 hd328e21_0
freexl 1.0.6 h2bbff1b_0
gdal 3.4.2 py38hf334de5_4 conda-forge
geopandas 0.9.0 py_1
geopandas-base 0.9.0 py_1
geos 3.10.2 h39d44d4_0 conda-forge
geotiff 1.7.1 h38b14a8_1 conda-forge
gettext 0.19.8.1 ha2e2712_1008 conda-forge
hdf4 4.2.15 h0e5069d_3 conda-forge
hdf5 1.12.1 nompi_h2a0e4a3_104 conda-forge
htmlmin 0.1.12 pyhd3eb1b0_1
icc_rt 2019.0.0 h0cc432a_1
icu 69.1 h0e60522_0 conda-forge
idna 3.3 pyhd3eb1b0_0
imagehash 4.2.1 pyhd3eb1b0_0
imagesize 1.3.0 pyhd3eb1b0_0
importlib-metadata 4.11.3 py38haa95532_0
importlib_metadata 4.11.3 hd3eb1b0_0
inflection 0.5.1 py38haa95532_0
intel-openmp 2021.4.0 haa95532_3556
intervaltree 3.1.0 pyhd3eb1b0_0
ipykernel 6.9.1 py38haa95532_0
ipython 8.2.0 py38haa95532_0
ipython_genutils 0.2.0 pyhd3eb1b0_1
ipywidgets 7.6.5 pyhd3eb1b0_1
isort 5.9.3 pyhd3eb1b0_0
jbig 2.1 h8d14728_2003 conda-forge
jedi 0.18.1 py38haa95532_1
jinja2 3.0.3 pyhd3eb1b0_0
jinja2-time 0.2.0 pyhd3eb1b0_3
joblib 1.1.0 pyhd3eb1b0_0
jpeg 9e h8ffe710_0 conda-forge
jsonschema 3.2.0 pyhd3eb1b0_2
jupyter_client 6.1.12 pyhd3eb1b0_0
jupyter_core 4.9.2 py38haa95532_0
jupyterlab_pygments 0.1.2 py_0
jupyterlab_widgets 1.0.0 pyhd3eb1b0_1
kealib 1.4.14 h8995ca9_3 conda-forge
keyring 23.4.0 py38haa95532_0
kiwisolver 1.3.2 py38hd77b12b_0
krb5 1.19.2 h5b6d351_0
lazy-object-proxy 1.6.0 py38h2bbff1b_0
lcms2 2.12 h2a16943_0 conda-forge
lerc 3.0 h0e60522_0 conda-forge
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libcurl 7.82.0 h86230a5_0
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libpng 1.6.37 h2a8f88b_0
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libxml2 2.9.12 h0ad7f3c_0
libxslt 1.1.34 he774522_0
libzip 1.8.0 hfed4ece_1 conda-forge
libzlib 1.2.11 h8ffe710_1014 conda-forge
llvmlite 0.36.0 py38h34b8924_4
lxml 4.8.0 py38h1985fb9_0
lz4-c 1.9.3 h2bbff1b_1
m2w64-expat 2.1.1 2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gettext 0.19.7 2
m2w64-gmp 6.1.0 2
m2w64-libiconv 1.14 6
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
m2w64-xz 5.2.2 2
mapclassify 2.4.3 pyhd3eb1b0_0
markupsafe 2.0.1 py38h2bbff1b_0
matplotlib 3.5.1 py38haa95532_1
matplotlib-base 3.5.1 py38hd77b12b_1
matplotlib-inline 0.1.2 pyhd3eb1b0_2
mccabe 0.6.1 py38_1
missingno 0.4.2 pyhd3eb1b0_1
mistune 0.8.4 py38he774522_1000
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py38h2bbff1b_0
mkl_fft 1.3.1 py38h277e83a_0
mkl_random 1.2.2 py38hf11a4ad_0
msys2-conda-epoch 20160418 1
munch 2.5.0 pyhd3eb1b0_0
munkres 1.1.4 py_0
mypy_extensions 0.4.3 py38haa95532_1
nbclient 0.5.11 pyhd3eb1b0_0
nbconvert 6.1.0 py38haa95532_0
nbformat 5.1.3 pyhd3eb1b0_0
nest-asyncio 1.5.1 pyhd3eb1b0_0
networkx 2.7.1 pyhd3eb1b0_0
notebook 6.4.8 py38haa95532_0
numba 0.53.0 py38hf11a4ad_0
numexpr 2.8.1 py38hb80d3ca_0
numpy 1.21.5 py38ha4e8547_0
numpy-base 1.21.5 py38hc2deb75_0
numpydoc 1.2 pyhd3eb1b0_0
openjpeg 2.4.0 h4fc8c34_0
openssl 1.1.1n h8ffe710_0 conda-forge
osmnx 1.0.1 pyhd3deb0d_0 conda-forge
packaging 21.3 pyhd3eb1b0_0
pandas 1.4.1 py38hd77b12b_1
pandas-datareader 0.10.0 pyhd3eb1b0_0
pandas-profiling 2.9.0 pyhd3eb1b0_0
pandocfilters 1.5.0 pyhd3eb1b0_0
paramiko 2.8.1 pyhd3eb1b0_0
parso 0.8.3 pyhd3eb1b0_0
pathspec 0.7.0 py_0
pcre 8.45 h0e60522_0 conda-forge
pexpect 4.8.0 pyhd3eb1b0_3
phik 0.11.2 pyhd3eb1b0_1
pickleshare 0.7.5 pyhd3eb1b0_1003
pillow 9.0.1 py38hdc2b20a_0
pip 21.2.2 py38haa95532_0
pixman 0.40.0 h8ffe710_0 conda-forge
pluggy 1.0.0 py38haa95532_1
poppler 22.01.0 h24fffdf_2 conda-forge
poppler-data 0.4.11 hd8ed1ab_0 conda-forge
postgresql 14.2 h1c22c4f_0 conda-forge
poyo 0.5.0 pyhd3eb1b0_0
proj 9.0.0 h1cfcee9_1 conda-forge
prometheus_client 0.13.1 pyhd3eb1b0_0
prompt-toolkit 3.0.20 pyhd3eb1b0_0
psutil 5.8.0 py38h2bbff1b_1
ptyprocess 0.7.0 pyhd3eb1b0_2
pure_eval 0.2.2 pyhd3eb1b0_0
pycodestyle 2.7.0 pyhd3eb1b0_0
pycparser 2.21 pyhd3eb1b0_0
pydocstyle 6.1.1 pyhd3eb1b0_0
pyflakes 2.3.1 pyhd3eb1b0_0
pygeos 0.12.0 py38h1e1a050_2 conda-forge
pygments 2.11.2 pyhd3eb1b0_0
pylint 2.9.6 py38haa95532_1
pyls-spyder 0.4.0 pyhd3eb1b0_0
pynacl 1.4.0 py38h62dcd97_1
pyopenssl 22.0.0 pyhd3eb1b0_0
pyparsing 3.0.4 pyhd3eb1b0_0
pyproj 3.3.0 py38h3b5edaa_2 conda-forge
pyqt 5.12.3 py38haa244fe_8 conda-forge
pyqt-impl 5.12.3 py38h885f38d_8 conda-forge
pyqt5-sip 4.19.18 py38h885f38d_8 conda-forge
pyqtchart 5.12 py38h885f38d_8 conda-forge
pyqtwebengine 5.12.1 py38h885f38d_8 conda-forge
pyrobuf 0.9.3 py38h885f38d_3 conda-forge
pyrosm 0.6.1 py38h885f38d_1 conda-forge
pyrsistent 0.18.0 py38h196d8e1_0
pysocks 1.7.1 py38haa95532_0
python 3.8.13 h6244533_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python-lsp-black 1.0.0 pyhd3eb1b0_0
python-lsp-jsonrpc 1.0.0 pyhd3eb1b0_0
python-lsp-server 1.2.4 pyhd3eb1b0_0
python-rapidjson 1.6 py38h885f38d_0 conda-forge
python-slugify 5.0.2 pyhd3eb1b0_0
python_abi 3.8 2_cp38 conda-forge
pytz 2021.3 pyhd3eb1b0_0
pywavelets 1.3.0 py38h2bbff1b_0
pywin32 302 py38h827c3e9_1
pywin32-ctypes 0.2.0 py38_1000
pywinpty 2.0.2 py38h5da7b33_0
pyyaml 6.0 py38h2bbff1b_1
pyzmq 22.3.0 py38hd77b12b_2
qdarkstyle 3.0.2 pyhd3eb1b0_0
qstylizer 0.1.10 pyhd3eb1b0_0
qt 5.12.9 h556501e_6 conda-forge
qtawesome 1.0.3 pyhd3eb1b0_0
qtconsole 5.3.0 pyhd3eb1b0_0
qtpy 2.0.1 pyhd3eb1b0_0
regex 2022.3.15 py38h2bbff1b_0
requests 2.27.1 pyhd3eb1b0_0
rope 0.22.0 pyhd3eb1b0_0
rtree 0.9.7 py38h2eaa2aa_1
scikit-learn 1.0.2 py38hf11a4ad_1
scipy 1.7.3 py38h0a974cb_0
seaborn 0.11.2 pyhd3eb1b0_0
send2trash 1.8.0 pyhd3eb1b0_1
setuptools 58.0.4 py38haa95532_0
shapely 1.8.0 py38h1e1a050_6 conda-forge
sip 4.19.13 py38hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
snowballstemmer 2.2.0 pyhd3eb1b0_0
sortedcontainers 2.4.0 pyhd3eb1b0_0
sphinx 4.4.0 pyhd3eb1b0_0
sphinxcontrib-applehelp 1.0.2 pyhd3eb1b0_0
sphinxcontrib-devhelp 1.0.2 pyhd3eb1b0_0
sphinxcontrib-htmlhelp 2.0.0 pyhd3eb1b0_0
sphinxcontrib-jsmath 1.0.1 pyhd3eb1b0_0
sphinxcontrib-qthelp 1.0.3 pyhd3eb1b0_0
sphinxcontrib-serializinghtml 1.1.5 pyhd3eb1b0_0
spyder 5.1.5 py38haa95532_1
spyder-kernels 2.1.3 py38haa95532_0
sqlite 3.38.2 h2bbff1b_0
stack_data 0.2.0 pyhd3eb1b0_0
tangled-up-in-unicode 0.1.0 pyhd3eb1b0_0
terminado 0.13.1 py38haa95532_0
testpath 0.5.0 pyhd3eb1b0_0
text-unidecode 1.3 pyhd3eb1b0_0
textdistance 4.2.1 pyhd3eb1b0_0
threadpoolctl 2.2.0 pyh0d69192_0
three-merge 0.1.1 pyhd3eb1b0_0
tiledb 2.7.2 h95dad36_0 conda-forge
tinycss 0.4 pyhd3eb1b0_1002
tk 8.6.11 h2bbff1b_0
toml 0.10.2 pyhd3eb1b0_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.63.0 pyhd3eb1b0_0
traitlets 5.1.1 pyhd3eb1b0_0
typed-ast 1.4.3 py38h2bbff1b_1
typing-extensions 4.1.1 hd3eb1b0_0
typing_extensions 4.1.1 pyh06a4308_0
ujson 5.1.0 py38hd77b12b_0
unidecode 1.2.0 pyhd3eb1b0_0
urllib3 1.26.8 pyhd3eb1b0_0
vc 14.2 h21ff451_1
visions 0.5.0 pyhd3eb1b0_0
vs2015_runtime 14.27.29016 h5e58377_2
watchdog 2.1.6 py38haa95532_0
wcwidth 0.2.5 pyhd3eb1b0_0
webencodings 0.5.1 py38_1
wheel 0.37.1 pyhd3eb1b0_0
widgetsnbextension 3.5.2 py38haa95532_0
win_inet_pton 1.1.0 py38haa95532_0
wincertstore 0.2 py38haa95532_2
winpty 0.4.3 4
wrapt 1.12.1 py38he774522_1
xerces-c 3.2.3 ha925a31_0
xz 5.2.5 h62dcd97_0
yaml 0.2.5 he774522_0
yapf 0.31.0 pyhd3eb1b0_0
zipp 3.7.0 pyhd3eb1b0_0
zlib 1.2.11 h8ffe710_1014 conda-forge
zstd 1.5.2 h6255e5f_0 conda-forge
I have been conducting my analysis in both the Spyder IDE (version: 5.1.5) and jupyter notebook (version: 6.4.8) both running Python 3.8.13.
I have been following along with the basic usage guide from the package documentation step by step and keep running into the same issue with get_network() described below.
As a resident of Leeds, I have been performing my analysis on this dataset as I understand what it should look like, rather than the Helsinki test datasets.
# Load available .osm.pbf datasets from BBBike of Geofrabrik and check desired city is one of them!
places = pyrosm.data.available
"Leeds" in places[cities] # Returns True, as expected, and I can see the .osm.pbf folder within my Temp folder
I get the the data and initialise the osm.pbf parser object as per the user guide
# Load the data and initialise the OSM reader
file_path = pyrosm.get_data('Leeds')
osm = pyrosm.OSM(file_path)
I am able to successfully obtain and plot the network of leeds using network_type='all' (next, I plan on demonstrating that specific networks i.e. "cycling", "driving" can be obtained by passing these to network_type= rather than "all")
# Here we plot the entire network of Leeds
leeds_total_network = osm.get_network(network_type='all' )
print(leeds_total_network.shape)
leeds_total_network.plot()
(135546, 39) # Clearly a GeoDataFrame is returned consisting 125,546 features.
So everything has worked as expected. However, now if I try to plot network_type='driving' exclusively, using the same osm parser object as before, a None type is returned.
# Here we request and plot only driavebale roads with a public right of way.
leeds_driving_network = osm.get_network(network_type='driving')
leeds_driving_network.plot()
returns the error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Input In [16], in <cell line: 4>()
1 # Here we request and plot only driavebale roads with a public right of way.
3 leeds_driving_network = osm.get_network(network_type='driving')
----> 4 print(leeds_driving_network.shape)
5 leeds_driving_network.plot()
AttributeError: 'NoneType' object has no attribute 'shape'
I have also tried re-initialising the osm parser every time I request a new network, however this still yields the same results
# Here we request and plot ways that are friendly to pedestrians
fp = pyrosm.get_data('Leeds')
osm = pyrosm.OSM(fp)
leeds_walking_network = osm.get_network(network_type='walking')
leeds_walking_network.plot()
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Input In [17], in <cell line: 6>()
3 osm = pyrosm.OSM(fp)
5 leeds_walking_network = osm.get_network(network_type='walking')
----> 6 leeds_walking_network.plot()
AttributeError: 'NoneType' object has no attribute 'plot'
Giving up on my analysis within a conda environment I decided I would try using google colab, which has worked exactly as expected and I was able to complete all steps demonstrated within the user guide.
Google colab running Python 3.7.13 (default, Mar 16 2022, 17:37:17) with the following packages installed:
Package Version Location Installer
----------------------------- --------------------- -------------------------------------- ---------
absl-py 1.0.0 /usr/local/lib/python3.7/dist-packages pip
alabaster 0.7.12 /usr/local/lib/python3.7/dist-packages pip
albumentations 0.1.12 /usr/local/lib/python3.7/dist-packages pip
altair 4.2.0 /usr/local/lib/python3.7/dist-packages pip
anyio 3.5.0 /usr/local/lib/python3.7/dist-packages pip
appdirs 1.4.4 /usr/local/lib/python3.7/dist-packages pip
argon2-cffi 21.3.0 /usr/local/lib/python3.7/dist-packages pip
argon2-cffi-bindings 21.2.0 /usr/local/lib/python3.7/dist-packages pip
arviz 0.12.0 /usr/local/lib/python3.7/dist-packages pip
astor 0.8.1 /usr/local/lib/python3.7/dist-packages pip
astropy 4.3.1 /usr/local/lib/python3.7/dist-packages pip
astunparse 1.6.3 /usr/local/lib/python3.7/dist-packages pip
atari-py 0.2.9 /usr/local/lib/python3.7/dist-packages pip
atomicwrites 1.4.0 /usr/local/lib/python3.7/dist-packages pip
attrs 21.4.0 /usr/local/lib/python3.7/dist-packages pip
audioread 2.1.9 /usr/local/lib/python3.7/dist-packages pip
autograd 1.4 /usr/local/lib/python3.7/dist-packages pip
Babel 2.9.1 /usr/local/lib/python3.7/dist-packages pip
backcall 0.2.0 /usr/local/lib/python3.7/dist-packages pip
beautifulsoup4 4.11.1 /usr/local/lib/python3.7/dist-packages pip
bleach 5.0.0 /usr/local/lib/python3.7/dist-packages pip
blis 0.4.1 /usr/local/lib/python3.7/dist-packages pip
bokeh 2.3.3 /usr/local/lib/python3.7/dist-packages pip
Bottleneck 1.3.4 /usr/local/lib/python3.7/dist-packages pip
bqplot 0.12.33 /usr/local/lib/python3.7/dist-packages pip
branca 0.4.2 /usr/local/lib/python3.7/dist-packages pip
bs4 0.0.1 /usr/local/lib/python3.7/dist-packages pip
CacheControl 0.12.10 /usr/local/lib/python3.7/dist-packages pip
cached-property 1.5.2 /usr/local/lib/python3.7/dist-packages pip
cachetools 4.2.4 /usr/local/lib/python3.7/dist-packages pip
catalogue 1.0.0 /usr/local/lib/python3.7/dist-packages pip
certifi 2021.10.8 /usr/local/lib/python3.7/dist-packages pip
cffi 1.15.0 /usr/local/lib/python3.7/dist-packages pip
cftime 1.6.0 /usr/local/lib/python3.7/dist-packages pip
chardet 3.0.4 /usr/local/lib/python3.7/dist-packages pip
charset-normalizer 2.0.12 /usr/local/lib/python3.7/dist-packages pip
click 7.1.2 /usr/local/lib/python3.7/dist-packages pip
click-plugins 1.1.1 /usr/local/lib/python3.7/dist-packages pip
cligj 0.7.2 /usr/local/lib/python3.7/dist-packages pip
cloudpickle 1.3.0 /usr/local/lib/python3.7/dist-packages pip
cmake 3.12.0 /usr/local/lib/python3.7/dist-packages pip
cmdstanpy 0.9.5 /usr/local/lib/python3.7/dist-packages pip
colorcet 3.0.0 /usr/local/lib/python3.7/dist-packages pip
colorlover 0.3.0 /usr/local/lib/python3.7/dist-packages pip
colour 0.1.5 /usr/local/lib/python3.7/dist-packages pip
community 1.0.0b1 /usr/local/lib/python3.7/dist-packages pip
contextlib2 0.5.5 /usr/local/lib/python3.7/dist-packages pip
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coverage 3.7.1 /usr/local/lib/python3.7/dist-packages pip
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sklearn-pandas 1.8.0 /usr/local/lib/python3.7/dist-packages pip
smart-open 5.2.1 /usr/local/lib/python3.7/dist-packages pip
sniffio 1.2.0 /usr/local/lib/python3.7/dist-packages pip
snowballstemmer 2.2.0 /usr/local/lib/python3.7/dist-packages pip
sortedcontainers 2.4.0 /usr/local/lib/python3.7/dist-packages pip
SoundFile 0.10.3.post1 /usr/local/lib/python3.7/dist-packages pip
soupsieve 2.3.2.post1 /usr/local/lib/python3.7/dist-packages pip
spacy 2.2.4 /usr/local/lib/python3.7/dist-packages pip
Sphinx 1.8.6 /usr/local/lib/python3.7/dist-packages pip
sphinxcontrib-serializinghtml 1.1.5 /usr/local/lib/python3.7/dist-packages pip
sphinxcontrib-websupport 1.2.4 /usr/local/lib/python3.7/dist-packages pip
SQLAlchemy 1.4.35 /usr/local/lib/python3.7/dist-packages pip
sqlparse 0.4.2 /usr/local/lib/python3.7/dist-packages pip
srsly 1.0.5 /usr/local/lib/python3.7/dist-packages pip
statsmodels 0.10.2 /usr/local/lib/python3.7/dist-packages pip
sympy 1.7.1 /usr/local/lib/python3.7/dist-packages pip
tables 3.7.0 /usr/local/lib/python3.7/dist-packages pip
tabulate 0.8.9 /usr/local/lib/python3.7/dist-packages pip
tblib 1.7.0 /usr/local/lib/python3.7/dist-packages pip
tenacity 8.0.1 /usr/local/lib/python3.7/dist-packages pip
tensorboard 2.8.0 /usr/local/lib/python3.7/dist-packages pip
tensorboard-data-server 0.6.1 /usr/local/lib/python3.7/dist-packages pip
tensorboard-plugin-wit 1.8.1 /usr/local/lib/python3.7/dist-packages pip
tensorflow 2.8.0 /usr/local/lib/python3.7/dist-packages pip
tensorflow-datasets 4.0.1 /usr/local/lib/python3.7/dist-packages pip
tensorflow-estimator 2.8.0 /usr/local/lib/python3.7/dist-packages pip
tensorflow-gcs-config 2.8.0 /usr/local/lib/python3.7/dist-packages pip
tensorflow-hub 0.12.0 /usr/local/lib/python3.7/dist-packages pip
tensorflow-io-gcs-filesystem 0.24.0 /usr/local/lib/python3.7/dist-packages pip
tensorflow-metadata 1.7.0 /usr/local/lib/python3.7/dist-packages pip
tensorflow-probability 0.16.0 /usr/local/lib/python3.7/dist-packages pip
termcolor 1.1.0 /usr/local/lib/python3.7/dist-packages pip
terminado 0.13.3 /usr/local/lib/python3.7/dist-packages pip
testpath 0.6.0 /usr/local/lib/python3.7/dist-packages pip
text-unidecode 1.3 /usr/local/lib/python3.7/dist-packages pip
textblob 0.15.3 /usr/local/lib/python3.7/dist-packages pip
Theano-PyMC 1.1.2 /usr/local/lib/python3.7/dist-packages pip
thinc 7.4.0 /usr/local/lib/python3.7/dist-packages pip
threadpoolctl 3.1.0 /usr/local/lib/python3.7/dist-packages pip
tifffile 2021.11.2 /usr/local/lib/python3.7/dist-packages pip
tinycss2 1.1.1 /usr/local/lib/python3.7/dist-packages pip
tomli 2.0.1 /usr/local/lib/python3.7/dist-packages pip
toolz 0.11.2 /usr/local/lib/python3.7/dist-packages pip
torch 1.10.0+cu111 /usr/local/lib/python3.7/dist-packages pip
torchaudio 0.10.0+cu111 /usr/local/lib/python3.7/dist-packages pip
torchsummary 1.5.1 /usr/local/lib/python3.7/dist-packages pip
torchtext 0.11.0 /usr/local/lib/python3.7/dist-packages pip
torchvision 0.11.1+cu111 /usr/local/lib/python3.7/dist-packages pip
tornado 6.1 /usr/local/lib/python3.7/dist-packages pip
tqdm 4.64.0 /usr/local/lib/python3.7/dist-packages pip
traitlets 5.1.1 /usr/local/lib/python3.7/dist-packages pip
traittypes 0.2.1 /usr/local/lib/python3.7/dist-packages pip
tweepy 3.10.0 /usr/local/lib/python3.7/dist-packages pip
typeguard 2.7.1 /usr/local/lib/python3.7/dist-packages pip
typing-extensions 4.1.1 /usr/local/lib/python3.7/dist-packages pip
tzlocal 1.5.1 /usr/local/lib/python3.7/dist-packages pip
uritemplate 3.0.1 /usr/local/lib/python3.7/dist-packages pip
urllib3 1.24.3 /usr/local/lib/python3.7/dist-packages pip
vega-datasets 0.9.0 /usr/local/lib/python3.7/dist-packages pip
wasabi 0.9.1 /usr/local/lib/python3.7/dist-packages pip
wcwidth 0.2.5 /usr/local/lib/python3.7/dist-packages pip
webencodings 0.5.1 /usr/local/lib/python3.7/dist-packages pip
websocket-client 1.3.2 /usr/local/lib/python3.7/dist-packages pip
Werkzeug 1.0.1 /usr/local/lib/python3.7/dist-packages pip
wheel 0.37.1 /usr/local/lib/python3.7/dist-packages pip
whitebox 2.1.2 /usr/local/lib/python3.7/dist-packages pip
whiteboxgui 0.7.0 /usr/local/lib/python3.7/dist-packages pip
widgetsnbextension 3.6.0 /usr/local/lib/python3.7/dist-packages pip
wordcloud 1.5.0 /usr/local/lib/python3.7/dist-packages pip
wrapt 1.14.0 /usr/local/lib/python3.7/dist-packages pip
xarray 0.18.2 /usr/local/lib/python3.7/dist-packages pip
xgboost 0.90 /usr/local/lib/python3.7/dist-packages pip
xkit 0.0.0 /usr/lib/python3/dist-packages
xlrd 1.1.0 /usr/local/lib/python3.7/dist-packages pip
xlwt 1.3.0 /usr/local/lib/python3.7/dist-packages pip
xyzservices 2022.4.0 /usr/local/lib/python3.7/dist-packages pip
yellowbrick 1.4 /usr/local/lib/python3.7/dist-packages pip
zict 2.1.0 /usr/local/lib/python3.7/dist-packages pip
zipp 3.8.0 /usr/local/lib/python3.7/dist-packages pip
I'm not too sure why I have been successful with Google colabs but not my local instances - any clarification would be greatly appreciated.
Many thanks
hulsiejames commented
UPDATE
I have since been provided with a new Ubuntu laptop, thus a fresh install and the problems still persist.
As can be seen below - I can request and plot the initial network request I make (leeds_total_network) however any subsequent requests I make (i.e. leeds_driving_network | leeds_walking_network | leeds_cycling_network etc.)
I can request and plot the intitial network I request however an subsequant requests return a NoneType, however I am still able to perform this analysis within google colab with no issues.
Running my script (courtesy of reprexpy)
import pyrosm
import osmnx
#import geemap
import folium
print('Hello World!')
#> Hello World!
# View available places for analysis
available_places = pyrosm.data.available
available_places.keys()
#> dict_keys(['test_data', 'regions', 'subregions', 'cities'])
'Leeds' in available_places['cities']
#> True
# Gets data from pyrosm providers (BBBike or Geofabrik) and stores in /temp directory - file can be saved to a user specified
# location with additional arguments i.e. get_data(place_name, directory='Desired location to save file')
place_name = 'Leeds'
file_path = pyrosm.get_data(place_name)
print('Data downloaded to:', file_path)
#> Data downloaded to: /tmp/pyrosm/Leeds.osm.pbf
# Initialises the OSM object that parses .osm.pbf files
osm = pyrosm.OSM(file_path)
print('osm type:', type(osm))
#> osm type: <class 'pyrosm.pyrosm.OSM'>
# Obtaining the total network for 'Leeds'
leeds_total_network = osm.get_network(network_type = 'all')
print('Variable shape:',leeds_total_network.shape, 'and type:', type(leeds_total_network))
#> Variable shape: (135779, 39) and type: <class 'geopandas.geodataframe.GeoDataFrame'>
# View all columns of data returned
keys = leeds_total_network.columns
print(keys)
#> Index(['access', 'area', 'bicycle', 'bicycle_road', 'bridge', 'busway',
#> 'cycleway', 'est_width', 'foot', 'footway', 'highway', 'int_ref',
#> 'junction', 'lanes', 'lit', 'maxspeed', 'motorcar', 'motor_vehicle',
#> 'name', 'oneway', 'overtaking', 'psv', 'ref', 'service', 'segregated',
#> 'sidewalk', 'smoothness', 'surface', 'tracktype', 'tunnel', 'turn',
#> 'width', 'id', 'timestamp', 'version', 'tags', 'osm_type', 'geometry',
#> 'length'],
#> dtype='object')
# Plotting the total network for Leeds
leeds_total_network.plot()
#> <AxesSubplot:>
# Plot the dirving network of Leeds
leeds_driving_network = osm.get_network(network_type='driving')
leeds_driving_network.plot()
#> Traceback (most recent call last):
#> /tmp/ipykernel_463772/2209984829.py in <cell line: 1>()
#> ----> 1 leeds_driving_network.plot()
#> AttributeError: 'NoneType' object has no attribute 'plot'
# Here we request and plot ways that a friendly to pedestrians
leeds_walking_network = osm.get_network(network_type='walking')
leeds_walking_network.plot()
#> Traceback (most recent call last):
#> /tmp/ipykernel_463772/3815383564.py in <cell line: 1>()
#> ----> 1 leeds_walking_network.plot()
#> AttributeError: 'NoneType' object has no attribute 'plot'
# Here we request and plot ways that a friendly to cyclists
leeds_cycling_network = osm.get_network(network_type='cycling')
leeds_cycling_network.plot()
#> Traceback (most recent call last):
#> /tmp/ipykernel_463772/1723449363.py in <cell line: 1>()
#> ----> 1 leeds_cycling_network.plot()
#> AttributeError: 'NoneType' object has no attribute 'plot'
# View the number of rows of each network returned
print('all:', leeds_total_network.shape[0],
'\ndriving:', leeds_driving_network.shape[0],
'\nwalking:', leeds_walking_network.shape[0],
'\ncycling:', leeds_cycling_network.shape[0])
#> Traceback (most recent call last):
#> /tmp/ipykernel_463772/2184378707.py in <cell line: 2>()
#> 1 # View the number of rows of each network returned
#> 2 print('all:', leeds_total_network.shape[0],
#> ----> 3 '\ndriving:', leeds_driving_network.shape[0],
#> 4 '\nwalking:', leeds_walking_network.shape[0],
#> 5 '\ncycling:', leeds_cycling_network.shape[0])
#> AttributeError: 'NoneType' object has no attribute 'shape'
# Here we request and plot the dirivng and Public Service Vehicle network for Leeds
test_driving_and_psv = osm.get_network(network_type='driving_psv')
test_driving_and_psv.plot()
#> Traceback (most recent call last):
#> /tmp/ipykernel_463772/3864397027.py in <cell line: 1>()
#> ----> 1 test_driving_and_psv.plot()
#> AttributeError: 'NoneType' object has no attribute 'plot'
# Here we request and plot the driving + service network for Leeds
test_driving_and_Service = osm.get_network(network_type='driving+service')
test_driving_and_Service.plot()
#> Traceback (most recent call last):
#> /tmp/ipykernel_463772/2877354686.py in <cell line: 1>()
#> ----> 1 test_driving_and_Service.plot()
#> AttributeError: 'NoneType' object has no attribute 'plot'Environment setup (through terminal):
# Create a new environment with spyder installed!
conda create -n OSM_Python spyder
# Select the newly created environment
conda activate OSM_Python
# Install a number of packages used in our analysis (pyrosm get OSM data)
conda install -c conda-forge pyrosm
# Now we install OSMnx (OSM data getting and network analysis)
conda install -c conda-forge osmnx
# Now we install Geemap (visualisation)
conda install -c conda-forge geemap
# Now we install folium (visualisation)
conda install -c conda-forge folium
# ERROR | No such comm target registered: ipython.widget | error removed through installation of ipywidgets (https://stackoverflow.com/questions/41743837/no-such-comm-target-registered-error-in-ipython)
conda install ipywidgets
# There is some incorrect text rendering fixable with the following (https://stackoverflow.com/questions/63302911/incorrect-rendering-in-anaconda-spyder-wrong-colours-in-text)
sudo apt install imagemagick-6.q16
# Followed by running
cd /home/james/anaconda3/envs/OSM_Spyder
mogrify $(find . -name '*.png')
Packages on current conda environment:
# packages in environment at /home/james/anaconda3/envs/OSM_Python:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
affine 2.3.1 pyhd8ed1ab_0 conda-forge
aiohttp 3.8.1 py310h5764c6d_1 conda-forge
aiosignal 1.2.0 pyhd8ed1ab_0 conda-forge
alsa-lib 1.2.3.2 h166bdaf_0 conda-forge
anyio 3.5.0 py310hff52083_0 conda-forge
aom 3.3.0 h27087fc_1 conda-forge
argon2-cffi 21.3.0 pyhd8ed1ab_0 conda-forge
argon2-cffi-bindings 21.2.0 py310h5764c6d_2 conda-forge
asttokens 2.0.5 pyhd8ed1ab_0 conda-forge
async-timeout 4.0.2 pyhd8ed1ab_0 conda-forge
attrs 21.4.0 pyhd8ed1ab_0 conda-forge
babel 2.10.1 pyhd8ed1ab_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
beautifulsoup4 4.11.1 pyha770c72_0 conda-forge
bleach 5.0.0 pyhd8ed1ab_0 conda-forge
blosc 1.21.1 hd32f23e_0 conda-forge
boost-cpp 1.74.0 h6cacc03_7 conda-forge
bqplot 0.12.33 pyhd8ed1ab_0 conda-forge
branca 0.4.2 pyhd8ed1ab_0 conda-forge
brotli 1.0.9 h166bdaf_7 conda-forge
brotli-bin 1.0.9 h166bdaf_7 conda-forge
brotlipy 0.7.0 py310h5764c6d_1004 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.18.1 h7f98852_0 conda-forge
ca-certificates 2022.4.26 h06a4308_0
cachetools 4.2.4 pyhd8ed1ab_0 conda-forge
cairo 1.16.0 ha12eb4b_1010 conda-forge
certifi 2020.6.20 pyhd3eb1b0_3
cffi 1.15.0 py310h0fdd8cc_0 conda-forge
cfitsio 4.1.0 hd9d235c_0 conda-forge
charset-normalizer 2.0.12 pyhd8ed1ab_0 conda-forge
click 8.1.3 py310hff52083_0 conda-forge
click-plugins 1.1.1 py_0 conda-forge
cligj 0.7.2 pyhd8ed1ab_1 conda-forge
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
colour 0.1.5 py_0 conda-forge
cryptography 36.0.2 py310h597c629_1 conda-forge
curl 7.83.0 h7bff187_0 conda-forge
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
cykhash 2.0.0 py310hd8f1fbe_1 conda-forge
cython 0.29.28 py310hd8f1fbe_2 conda-forge
dbus 1.13.6 h5008d03_3 conda-forge
debugpy 1.6.0 py310hd8f1fbe_0 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
earthengine-api 0.1.307 pyhd8ed1ab_0 conda-forge
ee_extra 0.0.13 pyhd8ed1ab_0 conda-forge
entrypoints 0.4 pyhd8ed1ab_0 conda-forge
executing 0.8.3 pyhd8ed1ab_0 conda-forge
expat 2.4.8 h27087fc_0 conda-forge
ffmpeg 5.0.1 h594f047_0 conda-forge
ffmpeg-python 0.2.0 py_0 conda-forge
filelock 3.6.0 pyhd8ed1ab_0 conda-forge
fiona 1.8.21 py310h35effa4_1 conda-forge
flit-core 3.7.1 pyhd8ed1ab_0 conda-forge
folium 0.12.1.post1 pyhd8ed1ab_1 conda-forge
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.0 h8e229c2_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.33.3 py310h5764c6d_0 conda-forge
freetype 2.10.4 h0708190_1 conda-forge
freexl 1.0.6 h7f98852_0 conda-forge
frozenlist 1.3.0 py310h5764c6d_1 conda-forge
future 0.18.2 py310hff52083_5 conda-forge
gdal 3.4.2 pypi_0 pypi
gdown 4.4.0 pyhd8ed1ab_0 conda-forge
geeadd 0.5.4 pyhd8ed1ab_0 conda-forge
geemap 0.13.4 pyhd8ed1ab_1 conda-forge
geocoder 1.38.1 py_1 conda-forge
geojson 2.5.0 py_0 conda-forge
geopandas 0.10.2 pyhd8ed1ab_1 conda-forge
geopandas-base 0.10.2 pyha770c72_1 conda-forge
geos 3.10.2 h9c3ff4c_0 conda-forge
geotiff 1.7.1 h509b78c_1 conda-forge
gettext 0.19.8.1 h73d1719_1008 conda-forge
giflib 5.2.1 h36c2ea0_2 conda-forge
gmp 6.2.1 h58526e2_0 conda-forge
gnutls 3.6.13 h85f3911_1 conda-forge
google-api-core 1.25.1 pyhd3eb1b0_0
google-api-python-client 1.12.8 pyhd3deb0d_0 conda-forge
google-auth 1.35.0 pyh6c4a22f_0 conda-forge
google-auth-httplib2 0.1.0 pyhd8ed1ab_0 conda-forge
google-cloud-core 1.7.1 pyhd3eb1b0_0
google-cloud-storage 1.19.0 py_0 conda-forge
google-crc32c 1.1.2 py310he8fe98e_3 conda-forge
google-resumable-media 2.1.0 pyh6c4a22f_0 conda-forge
googleapis-common-protos 1.56.0 py310hff52083_0 conda-forge
grpcio 1.45.0 py310h44b9e0c_0 conda-forge
gst-plugins-base 1.20.2 hcf0ee16_0 conda-forge
gstreamer 1.20.2 hd4edc92_0 conda-forge
hdf4 4.2.15 h10796ff_3 conda-forge
hdf5 1.12.1 nompi_h2386368_104 conda-forge
httplib2 0.20.4 pyhd8ed1ab_0 conda-forge
httplib2shim 0.0.3 pyh9f0ad1d_0 conda-forge
icu 69.1 h9c3ff4c_0 conda-forge
idna 3.3 pyhd8ed1ab_0 conda-forge
importlib-metadata 4.11.3 py310hff52083_1 conda-forge
importlib_metadata 4.11.3 hd8ed1ab_1 conda-forge
importlib_resources 5.7.1 pyhd8ed1ab_0 conda-forge
ipyevents 2.0.1 pyhd8ed1ab_0 conda-forge
ipyfilechooser 0.6.0 pyhd8ed1ab_0 conda-forge
ipykernel 6.13.0 py310hfdc917e_0 conda-forge
ipyleaflet 0.16.0 pyhd8ed1ab_3 conda-forge
ipython 8.3.0 py310hff52083_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
ipytree 0.2.1 pyhd8ed1ab_0 conda-forge
ipywidgets 7.7.0 pyhd8ed1ab_0 conda-forge
jbig 2.1 h7f98852_2003 conda-forge
jedi 0.18.1 py310hff52083_1 conda-forge
jinja2 3.1.1 pyhd8ed1ab_0 conda-forge
joblib 1.1.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h166bdaf_1 conda-forge
json-c 0.16 hc379101_0 conda-forge
json5 0.9.5 pyh9f0ad1d_0 conda-forge
jsonschema 4.4.0 pyhd8ed1ab_0 conda-forge
jupyter_client 7.3.0 pyhd8ed1ab_0 conda-forge
jupyter_core 4.9.2 py310hff52083_0 conda-forge
jupyter_server 1.17.0 pyhd8ed1ab_0 conda-forge
jupyterlab 3.4.0 pyhd8ed1ab_0 conda-forge
jupyterlab_pygments 0.2.2 pyhd8ed1ab_0 conda-forge
jupyterlab_server 2.13.0 pyhd8ed1ab_1 conda-forge
jupyterlab_widgets 1.1.0 pyhd8ed1ab_0 conda-forge
kealib 1.4.14 h87e4c3c_3 conda-forge
keyutils 1.6.1 h166bdaf_0 conda-forge
kiwisolver 1.4.2 py310hbf28c38_1 conda-forge
krb5 1.19.3 h3790be6_0 conda-forge
lame 3.100 h7f98852_1001 conda-forge
lcms2 2.12 hddcbb42_0 conda-forge
ld_impl_linux-64 2.36.1 hea4e1c9_2 conda-forge
lerc 3.0 h9c3ff4c_0 conda-forge
libblas 3.9.0 14_linux64_openblas conda-forge
libbrotlicommon 1.0.9 h166bdaf_7 conda-forge
libbrotlidec 1.0.9 h166bdaf_7 conda-forge
libbrotlienc 1.0.9 h166bdaf_7 conda-forge
libcblas 3.9.0 14_linux64_openblas conda-forge
libclang 13.0.1 default_hc23dcda_0 conda-forge
libcrc32c 1.1.2 h9c3ff4c_0 conda-forge
libcurl 7.83.0 h7bff187_0 conda-forge
libdap4 3.20.6 hd7c4107_2 conda-forge
libdeflate 1.10 h7f98852_0 conda-forge
libdrm 2.4.109 h7f98852_0 conda-forge
libedit 3.1.20191231 he28a2e2_2 conda-forge
libev 4.33 h516909a_1 conda-forge
libevent 2.1.10 h9b69904_4 conda-forge
libffi 3.4.2 h7f98852_5 conda-forge
libgcc-ng 11.2.0 h1d223b6_16 conda-forge
libgdal 3.4.2 hb785293_6 conda-forge
libgfortran-ng 11.2.0 h69a702a_16 conda-forge
libgfortran5 11.2.0 h5c6108e_16 conda-forge
libglib 2.70.2 h174f98d_4 conda-forge
libgomp 11.2.0 h1d223b6_16 conda-forge
libiconv 1.16 h516909a_0 conda-forge
libkml 1.3.0 h238a007_1014 conda-forge
liblapack 3.9.0 14_linux64_openblas conda-forge
libllvm13 13.0.1 hf817b99_2 conda-forge
libnetcdf 4.8.1 nompi_h329d8a1_102 conda-forge
libnghttp2 1.47.0 h727a467_0 conda-forge
libnsl 2.0.0 h7f98852_0 conda-forge
libogg 1.3.4 h7f98852_1 conda-forge
libopenblas 0.3.20 pthreads_h78a6416_0 conda-forge
libopus 1.3.1 h7f98852_1 conda-forge
libpciaccess 0.16 h516909a_0 conda-forge
libpng 1.6.37 h21135ba_2 conda-forge
libpq 14.2 hd57d9b9_0 conda-forge
libprotobuf 3.20.0 h6239696_0 conda-forge
librttopo 1.1.0 hf69c175_9 conda-forge
libsodium 1.0.18 h36c2ea0_1 conda-forge
libspatialindex 1.9.3 h9c3ff4c_4 conda-forge
libspatialite 5.0.1 ha867d66_15 conda-forge
libssh2 1.10.0 ha56f1ee_2 conda-forge
libstdcxx-ng 11.2.0 he4da1e4_16 conda-forge
libtiff 4.3.0 h542a066_3 conda-forge
libuuid 2.32.1 h7f98852_1000 conda-forge
libva 2.14.0 h7f98852_0 conda-forge
libvorbis 1.3.7 h9c3ff4c_0 conda-forge
libvpx 1.11.0 h9c3ff4c_3 conda-forge
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nettle 3.6 he412f7d_0 conda-forge
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nspr 4.32 h9c3ff4c_1 conda-forge
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pyqtchart 5.12 py310hfcd6d55_8 conda-forge
pyqtwebengine 5.12.1 py310hfcd6d55_8 conda-forge
pyrobuf 0.9.3 py310hd8f1fbe_4 conda-forge
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pyshp 2.3.0 pyhd8ed1ab_0 conda-forge
pysocks 1.7.1 py310hff52083_5 conda-forge
python 3.10.4 h9a8a25e_0_cpython conda-forge
python-box 6.0.2 pyhd8ed1ab_0 conda-forge
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python_abi 3.10 2_cp310 conda-forge
pytz 2022.1 pyhd8ed1ab_0 conda-forge
pyu2f 0.1.5 pyhd8ed1ab_0 conda-forge
pyzmq 22.3.0 py310h330234f_2 conda-forge
qt 5.12.9 h1304e3e_6 conda-forge
rasterio 1.2.10 py310hdadb6e9_5 conda-forge
ratelim 0.1.6 py_2 conda-forge
readline 8.1 h46c0cb4_0 conda-forge
requests 2.27.1 pyhd8ed1ab_0 conda-forge
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rtree 1.0.0 py310hbdcdc62_1 conda-forge
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HTenkanen commented
@hulsiejames : Thanks for reporting and good reproducible examples. Will take a look this in the coming days.
lenkahas commented
Hi, sorry to add to this, I'm having the same issue. I can only get one network for one session and need to restart the kernel to get another network.
HTenkanen commented
@lenkahas Hmm, quite weird behavior. Thanks for reporting, will also look at this.
HTenkanen commented
This has been hanging for veeery long, but I just tried to reproduce this error and things works as expected on my computer. I.e. I can retrieve multiple different networks using the same osm instance (without a need to re-initialize the object). In case this is still relevant, could you try to reinstall the new version of pyrosm v0.6.2 and see if the problem still exists?