'vertices' must be a 2D list or array with shape Nx2 happening only for Banglaore?

[udst]

'vertices' must be a 2D list or array with shape Nx2 happening only for Banglaore?

[sablanchard]

@lucky-verma its been awhile since we have taken a look at this issue, I tried recently to replicate the issue and I dont think I can replicate using the example given or at least in this version of testing it I get a result without error:

env info:

Windows 10 Pro
Python 3.6.11
pandana=0.6.1
geopandas=0.9.0
pandas=1.1.0
osmnet=0.1.6

reproducible example:

import matplotlib.pyplot as plt
import pandana
import pandas as pd, geopandas as gpd
# use osmnet directly instead of from pandana
from osmnet import load

bbox = [12.8881, 77.5079, 12.9918, 77.6562]
# distance was not originally provided so I picked 1000 m
distance=1000

df = pd.DataFrame(
    {'id':[1522786113, 2227865111, 309601717, 1513928857, 2220792136, 6455354942],
        'Name': ['Neil', 'Nitin', 'Mukesh','Alpha','Beta','Office'],
     'Area': ['Valsad', 'Silvasa', 'Daman','Rajkot','Dui','Vapi'],
     'lat': [12.956550, 12.950360, 12.912047,12.955546,12.939653,12.928109],
     'lon': [77.540640, 77.581135, 77.586969,77.529658,77.542523,77.639337]})
pois = gpd.GeoDataFrame(df, geometry=gpd.points_from_xy(df.lon, df.lat))

network = load.network_from_bbox(bbox[0], bbox[1], bbox[2], bbox[3],network_type='drive')
network=pandana.Network(network[0]["x"],network[0]["y"], network[1]["from"], network[1]["to"],network[1][["distance"]])

network.precompute(distance + 1)
network.set_pois(category='my_amenity', x_col=pois['lon'], y_col=pois['lat'], maxdist=distance, maxitems=7)
access = network.nearest_pois(distance=distance, category='my_amenity', num_pois=7)

bbox_aspect_ratio = (bbox[2] - bbox[0]) / (bbox[3] - bbox[1])
fig_kwargs = {'facecolor':'w',
              'figsize':(15, 15 * bbox_aspect_ratio)}

# keyword arguments to pass for scatter plots
plot_kwargs = {'s':5,
               'alpha':0.9,
               'cmap':'viridis_r',
               'edgecolor':'none'}

n = 1
bmap, fig, ax = network.plot(access[n], bbox=bbox, plot_kwargs=plot_kwargs, fig_kwargs=fig_kwargs)
ax.set_facecolor('k')
ax.set_title('Walking distance (m) to nearest boi around Bangalore-India', fontsize=15)
fig.savefig('images/accessibility.png', dpi=200, bbox_inches='tight')
plt.show()

result:

Ill close this for now, but if the issue persists when you update your packages, please let us know and can reopen.

[jamesjoyce92]

I get the same error for different cities in Central Europe like Berlin, Cologne and Amsterdam. Other queries in Lisbon and Dublin work.

I think the difficulties are with pyProj , I get a future warning:

c:\users\sven.conda\envs\thesisox\lib\site-packages\pyproj\crs\crs.py:53: FutureWarning: '+init=:' syntax is deprecated. "Authority: code is the preferred initialization method. When making the change, be mindful of axis order changes:
return _prepare_from_string(" ".join(pjargs))

There a change of the axis order is mentioned, which I also recognize in my code.

network = osm.network_from_bbox(lat_min=bbox[0], lng_min=bbox[1], lat_max=bbox[2], lng_max=bbox[3])
print(network[0]["x"], network[0]["y"])

• id
• 21518835 7.617888
• 21518840 7.619910
• 21518841 7.619844
• 21518843 7.622686
• 21518845 7.623884

•             ...   
  

• 7622832878 7.624866
• 7622832880 7.624928
• 7623060866 7.629284
• 7623060875 7.631151
• 7645051167 7.611426
• Name: x, Length: 4722, dtype: float64 id
• 21518835 51.951031
• 21518840 51.954686
• 21518841 51.954977
• 21518843 51.955540
• 21518845 51.955627

•             ...    
  

• 7622832878 51.964202
• 7622832880 51.964346
• 7623060866 51.963732
• 7623060875 51.965294
• 7645051167 51.968587
• Name: y, Length: 4722, dtype: float64

The expected format is x = 51.951031 y = 7.617888

For this reason the data probably cannot be visualized.

However, I haven't found a solution yet, and would be very grateful for some ideas.

[lucky-verma]

Hi @jamesjoyce92 , I have compared the format for working and not working region, they both are similar.

I hope someone helps!

[jamesjoyce92]

Hey @thinkersloo,

yeah, you're right. I was a bit hastily, I've checked it for some working bboxes and get the same order, too.