def test_buildings():
gdf = ox.buildings_from_place(place='Piedmont, California, USA')
gdf = ox.buildings_from_address(address='San Francisco, California, USA', distance=300)
fig, ax = ox.plot_buildings(gdf)
def test_buildings():
# download building footprints and plot them
gdf = ox.buildings_from_place(place='Emeryville, California, USA')
gdf = ox.buildings_from_address(
address='600 Montgomery St, San Francisco, California, USA',
distance=300)
fig, ax = ox.plot_buildings(gdf)
def test_buildings():
with httmock.HTTMock(get_mock_response_content('overpass-response-1.json.gz')):
gdf = ox.buildings_from_place(place='Piedmont, California, USA')
with httmock.HTTMock(get_mock_response_content('overpass-response-2.json.gz')):
gdf = ox.buildings_from_address(address='260 Stockton Street, San Francisco, California, USA', distance=300)
fig, ax = ox.plot_buildings(gdf)
# MASH
# Analysis of Bioko Island Geographical Data
# Sean Wu
# July 19, 2017
#
#==============================================================================
import osmnx as ox
from IPython.display import Image
%matplotlib inline
# import all movement paths
biokoGraph = ox.graph_from_place('Bioko', network_type='all')
ox.plot_graph(biokoGraph,fig_height=20)
# import buildings & save to .shp
biokoBldg = ox.buildings_from_place('Bioko')
biokoBldgProj = ox.project_gdf(biokoBldg)
ox.plot_buildings(gdf=biokoBldgProj,bgcolor='#333333',color='w',save=True, show=False, close=True, filename='biokoBldg', dpi=90)
Image('{}/{}.{}'.format('images', 'biokoBldg', 'png'), height=800, width=800)
biokoBldgShp = biokoBldg.drop(labels='nodes',axis=1)
biokoBldgShp.to_file('Desktop/BiokoBldg')
biokoAreas = biokoBldgProj.area
# basic analysis of road network
biokoGraphLength = ox.get_edge_colors_by_attr(biokoGraph, attr='length')
ox.plot_graph(biokoGraph, edge_color=biokoGraphLength,fig_height=30)
# helper funcion to get one-square-mile street networks, building footprints, and plot them
import geopandas as gpd
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import osmnx as ox
place_name = "Kamppi, Helsinki, Finland"
graph = ox.graph_from_place(place_name)
fig, ax = ox.plot_graph(graph)
plt.tight_layout()
area = ox.gdf_from_place(place_name)
buildings = ox.buildings_from_place(place_name)
nodes, edges = ox.graph_to_gdfs(graph)
import re
string = ""
x = re.findall("ai", string)
import requests
import json
overpass_url = "http://overpass-api.de/api/interpreter"
overpass_query = """
[out:json];
area["ISO3166-1"="DE"][admin_level=2];
(node["amenity"="biergarten"](area);
way["amenity"="biergarten"](area);
rel["amenity"="biergarten"](area);
);
out center;
"""
response = requests.get(overpass_url, params={'data': overpass_query})
data = response.json()
