osm.get_network() returning None type after one use #180
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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 ( 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): Packages on current conda environment: |
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@hulsiejames : Thanks for reporting and good reproducible examples. Will take a look this in the coming days. |
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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. |
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@lenkahas Hmm, quite weird behavior. Thanks for reporting, will also look at this. |
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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 |
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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.
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.
I get the the data and initialise the osm.pbf parser object as per the user guide
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")
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.
returns the error:
I have also tried re-initialising the osm parser every time I request a new network, however this still yields the same results
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:
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
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