Add a map to your website¶

Get started with maps

Nate Quarderer
Elsa Culler
2024-03-28

Get started with map-making using open-sources tools¶

Finding locations and boundaries¶

Open Street Map (OSM) is an open-source, editable map of the world – a little like a wiki for places. They also provide a service for looking up locations using text, which we’ll be using in this activity.

Mapping libraries¶

You’ll need to start by importing the following libraries:

In [1]:
# Work with vector data
import geopandas as gpd

# Save maps and plots to files
import holoviews as hv
# Create interactive maps and plots
import hvplot.pandas

# Search for locations by name - this might take a moment
from osmnx import features as osm


import osmnx as ox
import matplotlib.pyplot as plt

Search for a point of interest¶

You can use the pyrosm package to download and search for spatial vector data in your area, or anywhere around the world.

In this case, we’re looking for the location of the United Tribes Technical College campus in North Dakota. The address in here, 'United Tribes Technical College, Bismarck, ND, United States', does not have to be complete or exact, but it should be specific enough to narrow it down. We are also specifying that we want it to be tagges as a 'amentity' type, specifically a 'college' You might have to try a couple different searches with different addresses and/or tags to get the address you want, just like if you are using a map website or app.

In [2]:
# Search for United Tribes Technical College
uttc_gdf = osm.features_from_address(
    'United Tribes Technical College, Bismarck, ND, United States',
    {'amenity': ['college']})
uttc_gdf
Out[2]:
nodes addr:city addr:housenumber addr:postcode addr:state addr:street amenity name website wikidata geometry
element_type osmid
way 1157021269 [10759584855, 10759584856, 10759584857, 450404... Bismarck 3315 58504 ND University Drive college United Tribes Technical College https://uttc.edu/ Q7893617 POLYGON ((-100.76305 46.76853, -100.76302 46.7...
In [3]:
uttc_gdf.plot()
Out[3]:
<Axes: >
No description has been provided for this image

We have a map of the UTTC Campus!

Warning

The Open Street Maps (OSM) database is not always complete. For example, try searching for UTTC with the {'building': True}, and compare it to the map of the UTTC campus on their website. What do you notice?

Create an interactive map¶

There are lots of different ways to create maps and plots in Python. Here, we’re going to use a tool called 'hvplot' and 'geoviews' to create an interactive map, including the online 'EsriImagery' tile source basemap.

In [4]:
# Plot UTTC boundary
uttc_map = uttc_gdf.reset_index().hvplot(
    # Givethe map a descriptive title
    title="United Tribes Technical College, Bismarck, ND",
    # Add a basemap
    geo=True, tiles='EsriImagery',
    # Change the colors
    fill_color='white', fill_alpha=0.2,
    line_color='skyblue', line_width=5,
    # Change the image size
    frame_width=400, frame_height=400)

# Save the map as a file to put on the web
hv.save(uttc_map, 'uttc.html')

# Display the map
uttc_map

/opt/conda/lib/python3.11/site-packages/dask/dataframe/__init__.py:31: FutureWarning: 
Dask dataframe query planning is disabled because dask-expr is not installed.

You can install it with `pip install dask[dataframe]` or `conda install dask`.
This will raise in a future version.

  warnings.warn(msg, FutureWarning)

WARNING:bokeh.core.validation.check:W-1005 (FIXED_SIZING_MODE): 'fixed' sizing mode requires width and height to be set: figure(id='p1043', ...)
Out[4]:

Repeating workflow for Kirkwood Community College (Cedar Rapids, IA)¶

In [5]:
state = 'Iowa'
place_name = 'Iowa, USA'
tags = {'place':'state', 'name':state}

ia_boundary = ox.features_from_address(place_name, tags)
ia_boundary
Out[5]:
name name:cdo name:en name:hak name:he name:lt name:nan name:pl name:ru name:sr ... name:haw name:ik name:ja name:la name:lv name:nv name:th ref:fips source:name:br type
element_type osmid
node 316955537 Iowa Iowa Iowa Iowa NaN NaN Iowa Iowa Айова NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
relation 161650 Iowa Iowa Iowa Iowa איווה Ajova Iowa Iowa Айова Ајова ... ‘Iowa Aioua アイオワ州 Iova Aiova Haltsotah Ałhidiilíinii Hahoodzo รัฐไอโอวา 19 ofis publik ar brezhoneg boundary

2 rows × 66 columns

In [6]:
ia_boundary[ia_boundary["type"]=="boundary"].plot()
Out[6]:
<Axes: >
No description has been provided for this image
In [7]:
ia_boundary.explore()
Out[7]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [8]:
# Define the city name and state
city = 'Cedar Rapids'
state = 'Iowa'

# Fetch the boundary polygon of the city
place_name = f'{city}, {state}, USA'
tags = {'place': 'city', 'name': city}
cr_gdf = ox.geometries_from_place(place_name, tags)
cr_gdf

/tmp/ipykernel_2157/3458676958.py:8: FutureWarning: The `geometries` module and `geometries_from_X` functions have been renamed the `features` module and `features_from_X` functions. Use these instead. The `geometries` module and function names are deprecated and will be removed in the v2.0.0 release.
  cr_gdf = ox.geometries_from_place(place_name, tags)
Out[8]:
ele gnis:feature_id name place population population:date wikidata wikipedia geometry name:en ... tiger:LSAD tiger:MTFCC tiger:NAME tiger:NAMELSAD tiger:PCICBSA tiger:PCINECTA tiger:PLACEFP tiger:PLCIDFP tiger:STATEFP type
element_type osmid
node 151626808 247 465941 Cedar Rapids city 137710 2022 Q486439 en:Cedar Rapids, Iowa POINT (-91.67041 41.97589) Cedar Rapids ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
relation 128355 NaN 2394368 Hiawatha city NaN NaN Q1922650 en:Hiawatha, Iowa POLYGON ((-91.67082 42.06598, -91.67083 42.065... NaN ... 25 G4110 Hiawatha Hiawatha city N N 35940 1935940 19 boundary
129078 NaN 2396389 Robins city NaN NaN Q1926058 en:Robins, Iowa MULTIPOLYGON (((-91.70149 42.10099, -91.69697 ... NaN ... 25 G4110 Robins Robins city N N 67800 1967800 19 boundary
129088 NaN 467567 Cedar Rapids city NaN NaN Q486439 en:Cedar Rapids, Iowa MULTIPOLYGON (((-91.72643 41.98905, -91.72643 ... NaN ... 25 G4110 Cedar Rapids Cedar Rapids city Y N 12000 1912000 19 boundary

4 rows × 33 columns

In [9]:
# Select out just the CR entries from this data
cr = cr_gdf[cr_gdf['name']=='Cedar Rapids']
cr

# Select out just the CR polygon
cr_poly = cr[cr['type']=='boundary']
cr_poly
Out[9]:
ele gnis:feature_id name place population population:date wikidata wikipedia geometry name:en ... tiger:LSAD tiger:MTFCC tiger:NAME tiger:NAMELSAD tiger:PCICBSA tiger:PCINECTA tiger:PLACEFP tiger:PLCIDFP tiger:STATEFP type
element_type osmid
relation 129088 NaN 467567 Cedar Rapids city NaN NaN Q486439 en:Cedar Rapids, Iowa MULTIPOLYGON (((-91.72643 41.98905, -91.72643 ... NaN ... 25 G4110 Cedar Rapids Cedar Rapids city Y N 12000 1912000 19 boundary

1 rows × 33 columns

In [10]:
# Search for United Tribes Technical College
kirkwood_cc_gdf = osm.features_from_address(
    'Kirkwood Community College, Cedar Rapids, IA, United States',
    {'amenity': ['college']})
type(kirkwood_cc_gdf)
Out[10]:
geopandas.geodataframe.GeoDataFrame
In [11]:
# Plot gdf using .explore()
kirkwood_cc_gdf.explore()
Out[11]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [12]:
# Plot gdf using .explore()
cr_gdf.explore()
Out[12]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [13]:
# Plot Kirkwood CC boundary
kirkwood_cc_map = kirkwood_cc_gdf.hvplot(
    # Givethe map a descriptive title
    title="Kirkwood Community College, Cedar Rapids, IA",
    # Add a basemap
    geo=True, tiles='EsriImagery',
    # Change the colors
    fill_color='white', fill_alpha=0.2,
    line_color='skyblue', line_width=5,
    # Change the image size
    frame_width=400, frame_height=400)

# Save the map as a file to put on the web
hv.save(kirkwood_cc_map, 'kirkwood_cc.html')

# Display the map
kirkwood_cc_map

WARNING:bokeh.core.validation.check:W-1005 (FIXED_SIZING_MODE): 'fixed' sizing mode requires width and height to be set: figure(id='p1218', ...)
Out[13]:
In [14]:
# Plot CR IA boundary
cr_map = cr_poly.hvplot(
    # Givethe map a descriptive title
    title="Cedar Rapids, IA (blue) and Kirkwood CC (red)",
    # Add a basemap
    geo=True, tiles='EsriImagery',
    # Change the colors
    fill_color='white', fill_alpha=0.2,
    line_color='skyblue', line_width=5,
    # Change the image size
    frame_width=400, frame_height=400) * \
    kirkwood_cc_gdf.hvplot(
    # Givethe map a descriptive title
    title="Cedar Rapids, IA and Kirkwood CC",
    # Add a basemap
    geo=True, tiles='EsriImagery',
    # Change the colors
    fill_color='white', fill_alpha=0.2,
    line_color='red', line_width=5,
    # Change the image size
    frame_width=400, frame_height=400)

# Save the map as a file to put on the web
hv.save(cr_map, 'cr.html')

# Display the map
cr_map

WARNING:bokeh.core.validation.check:W-1005 (FIXED_SIZING_MODE): 'fixed' sizing mode requires width and height to be set: figure(id='p1413', ...)
Out[14]:
In [15]:
# Search for University of Agriculture
uaf_gdf = osm.features_from_address(
    'University of Agriculture, Pakistan',
    {'amenity': ['university']})
uaf_gdf
Out[15]:
nodes addr:city addr:street amenity name name:en name:pnb name:ur wikidata geometry
element_type osmid
way 72617195 [861933573, 861933907, 861933470, 861933670, 8... فیصل آباد یونیورسٹی مین روڈ university جامعہ زرعیہ فیصل آباد University of Agriculture, Faisalabad زرعی یونیورسٹی فیصل آباد جامعہ زرعیہ فیصل آباد Q7895024 POLYGON ((73.07100 31.42482, 73.06857 31.42658...
In [16]:
pak_gdf.explore()

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Cell In[16], line 1
----> 1 pak_gdf.explore()

NameError: name 'pak_gdf' is not defined
In [ ]:
nigeria_url = "https://open.africa/dataset/83582021-d8f7-4bfd-928f-e9c6c8cb1247/resource/372a616a-66cc-41f7-ac91-d8af8f23bc2b/download/nigeria-lgas.zip"

nigeria_gdf = gpd.read_file(nigeria_url)
nigeria_gdf
Out[ ]:
STATE LGA AREA PERIMETER LONGITUDE LATITUDE FULL_NAME geometry
0 Sokoto Gada 1193.977 170.095 None None None POLYGON ((5.53632 13.88793, 5.53480 13.88488, ...
1 Sokoto Illela 1298.423 174.726 None None None POLYGON ((5.53632 13.88793, 5.54517 13.88419, ...
2 Sokoto Tangaza 2460.715 209.702 None None None POLYGON ((4.85548 13.76724, 4.86189 13.78085, ...
3 Borno Abadam 2430.515 288.957 None None None POLYGON ((12.83189 13.39871, 12.83397 13.40439...
4 Lake Lake chad 5225.912 497.039 None None None POLYGON ((13.48608 13.30821, 13.48296 13.31344...
... ... ... ... ... ... ... ... ...
770 Delta Isoko North 485.467 169.369 None None None MULTIPOLYGON (((6.31996 5.63341, 6.32003 5.633...
771 Niger Lavun 3951.431 424.153 None None None MULTIPOLYGON (((6.12188 9.09441, 6.12001 9.094...
772 Yobe Bade 817.260 216.207 None None None MULTIPOLYGON (((11.01052 12.80457, 11.00747 12...
773 Zamfara Maru 7795.261 536.500 None None None MULTIPOLYGON (((6.43894 12.41104, 6.43609 12.4...
774 Akwa Ibom Oron 81.472 57.846 None None None POLYGON ((8.22063 4.84473, 8.23405 4.82974, 8....

775 rows × 8 columns

In [ ]:
nigeria_gdf.explore()
Out[ ]:
Make this Notebook Trusted to load map: File -> Trust Notebook

Playing around with osm¶

In [ ]:
# Define the city name and state
#city = 'Cedar Rapids'
state = 'Edo'

# Fetch the boundary polygon of the city
place_name = f'{state}, Nigeria'
print(place_name)
tags = {'place': 'state', 'name': state}
print(tags)
edo_gdf = ox.geometries_from_place(place_name, tags)
edo_gdf

Edo, Nigeria
{'place': 'state', 'name': 'Edo'}

/tmp/ipykernel_2036/2428870189.py:10: FutureWarning: The `geometries` module and `geometries_from_X` functions have been renamed the `features` module and `features_from_X` functions. Use these instead. The `geometries` module and function names are deprecated and will be removed in the v2.0.0 release.
  edo_gdf = ox.geometries_from_place(place_name, tags)
Out[ ]:
admin_level name name:ar name:de name:es name:fa name:fr name:ko name:pl name:ru ... name:ro name:sr name:sv name:sw name:tr name:war name:yo name:zh official_name:ar type
element_type osmid
node 2163706699 4 Edo NaN NaN NaN NaN NaN NaN NaN Эдо ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
relation 3717119 4 Edo إدو Edo Edo ایالت ادو État d'Edo 에도주 Edo Эдо ... Statul Edo Едо Edo Jimbo la Edo Edo Eyaleti Edo Ìpínlẹ̀ Ẹdó 埃多州 ولاية إدو boundary

2 rows × 58 columns

In [ ]:
edo_gdf[edo_gdf['name:sw']=='Jimbo la Edo'].explore()
Out[ ]:
Make this Notebook Trusted to load map: File -> Trust Notebook

Looking for AIANNH areas¶

In [ ]:
# Pine Ridge, SD
reservation_name = 'Pine Ridge Indian Reservation'
tags = {'boundary':'aboriginal_lands', 'name':reservation_name}

pine_ridge_gdf = ox.features_from_place(reservation_name, tags)
pine_ridge_gdf
Out[ ]:
name name:en name:lkt wikidata wikipedia geometry nodes admin_level boundary source ways alt_name operator type alt_name:en
element_type osmid
way 37513073 NaN NaN NaN NaN NaN LINESTRING (-102.55670 42.99976, -102.55665 42... [1778413396, 7589973973, 7589973974, 439107098... 8 aboriginal_lands TIGER/Line® 2008 Place Shapefiles (http://www.... NaN NaN NaN NaN NaN
relation 9436075 Pine Ridge Indian Reservation NaN Wazí Aháŋhaŋ Oyáŋke Q1929568 en:Pine Ridge Indian Reservation POLYGON ((-103.00103 43.60589, -103.00072 43.6... [[[462229289, 158786182, 158786184, 158785615,... NaN aboriginal_lands https://www2.census.gov/geo/maps/DC2020/Tribal... [809716534, 1033447754, 37513073, 136109710, 1... Pine Ridge Agency Oglala Sioux Tribe boundary NaN
9436089 Rosebud Indian Reservation Rosebud Indian Reservation NaN Q3813702 en:Rosebud Indian Reservation MULTIPOLYGON (((-98.93805 43.10052, -98.93779 ... [[[9505984790, 9505984789, 9505984788, 9505984... NaN aboriginal_lands NaN [1031408502, 1031408504, 1031408503, 103140850... Rosebud Reservation NaN boundary Rosebud Reservation
In [ ]:
# Select out Wazí Aháŋhaŋ Oyáŋke
wao_boundary = pine_ridge_gdf[pine_ridge_gdf["name:lkt"]=="Wazí Aháŋhaŋ Oyáŋke"]
wao_boundary
Out[ ]:
name name:en name:lkt wikidata wikipedia geometry nodes admin_level boundary source ways alt_name operator type alt_name:en
element_type osmid
relation 9436075 Pine Ridge Indian Reservation NaN Wazí Aháŋhaŋ Oyáŋke Q1929568 en:Pine Ridge Indian Reservation POLYGON ((-103.00103 43.60589, -103.00072 43.6... [[[462229289, 158786182, 158786184, 158785615,... NaN aboriginal_lands https://www2.census.gov/geo/maps/DC2020/Tribal... [809716534, 1033447754, 37513073, 136109710, 1... Pine Ridge Agency Oglala Sioux Tribe boundary NaN
In [ ]:
# Plot Wazí Aháŋhaŋ Oyáŋke
wao_boundary.explore()
Out[ ]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [ ]:
# Oglala Lakota College
college_name = 'Oglala Lakota College'
tags = {'amenity':'university', 'name':college_name}

olc_gdf = ox.features_from_place(college_name, tags)
olc_gdf
Out[ ]:
amenity name geometry nodes wikidata
element_type osmid
node 2377246793 college Oglala Lakota College POINT (-102.24072 43.36635) NaN NaN
way 970931215 college Oglala Lakota College POLYGON ((-102.23957 43.36899, -102.23741 43.3... [8986031620, 8986031621, 8986031622, 898603162... Q7080082
In [ ]:
# Select the polygon
olc_poly = olc_gdf[olc_gdf["wikidata"]=="Q7080082"]
olc_poly
Out[ ]:
amenity name geometry nodes wikidata
element_type osmid
way 970931215 college Oglala Lakota College POLYGON ((-102.23957 43.36899, -102.23741 43.3... [8986031620, 8986031621, 8986031622, 898603162... Q7080082
In [ ]:
# Map olc_poly
olc_poly.explore()
Out[ ]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [ ]:
# Oglala Lakota College (Kyle, SD) - Buildings
college_name = 'Oglala Lakota College'
city_name = 'Kyle'
state_name = 'South Dakota'
tags = {'building':'university', 'name':college_name, 'city':city_name, 'state':state_name}

olc_buildings_gdf = ox.features_from_place(college_name, tags)
olc_buildings_gdf

olc_buildings_gdf.explore()
Out[ ]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [ ]:
# Oglala Lakota College (Rapid City, SD) - Buildings
college_name = 'Oglala Lakota College'
city_name = 'Rapid City'
state_name = 'South Dakota'
tags = {'amenity':'university', 'name':college_name, 'state':state_name}

olc_rapid_buildings_gdf = ox.features_from_address(college_name, tags)
olc_rapid_buildings_gdf
Out[ ]:
amenity name geometry nodes wikidata
element_type osmid
node 2377246793 college Oglala Lakota College POINT (-102.24072 43.36635) NaN NaN
way 970931215 college Oglala Lakota College POLYGON ((-102.23957 43.36899, -102.23741 43.3... [8986031620, 8986031621, 8986031622, 898603162... Q7080082
In [ ]:
# Search for OLC (Rapid City)
olc_rapid_gdf = osm.features_from_address(
    'Oglala Lakota College, Rapid City, SD, United States',
    {'amenity': ['college']})
olc_rapid_gdf

olc_rapid_gdf.explore()
Out[ ]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [ ]:
# Search for OLC (Kyle)
college_name = 'Oglala Lakota College'
tags = {'building':'college', 'amenity':'college', 'name':college_name}
olc_kyle_gdf = ox.features_from_place(college_name, tags)
olc_kyle_gdf
olc_kyle_gdf.explore()
Out[ ]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [ ]:
# UTTC - Buildings
college_name = 'United Tribes Technical College'
city_name = 'Bismarck'
state_name = 'North Dakota'
tags = {'building':'college', 'name':college_name, 'city':city_name, 'state':state_name}

uttc_gdf = ox.features_from_place(college_name, tags)
uttc_gdf

uttc_gdf.explore()
Out[ ]:
Make this Notebook Trusted to load map: File -> Trust Notebook

Iowa City University Buildings¶

In [ ]:
# U of Iowa - Buildings
university_name = 'The University of Iowa'
city_name = 'Iowa City'
state_name = 'Iowa'
tags = {'building':'university', 'city':city_name, 'state':state_name}

uiowa_buildings_gdf = ox.features_from_place(university_name, tags)
uiowa_buildings_gdf
Out[ ]:
geometry amenity name parking layer operator access nodes building addr:city ... gnis:reviewed long_name sauna swimming_pool website height golf razed:building ways type
element_type osmid
way 92980511 POLYGON ((-91.54348 41.66177, -91.54348 41.662... NaN Nursing Building NaN NaN NaN NaN [1077851443, 1077851452, 1077851490, 135330424... university NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
92980515 POLYGON ((-91.54394 41.66348, -91.54394 41.663... clinic Westlawn - Student Health Services NaN NaN The University of Iowa NaN [4374102416, 1077851484, 1077851486, 107785144... university Iowa City ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
97402194 POLYGON ((-91.54544 41.66316, -91.54509 41.663... NaN Medical Education and Biomedical Research Faci... NaN NaN NaN NaN [1128067118, 1128067112, 1128067125, 112806701... university Iowa City ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
98963423 POLYGON ((-91.53862 41.66352, -91.53845 41.663... NaN Iowa Memorial Union NaN NaN NaN NaN [1144948836, 6789252024, 6789252025, 678925202... university Iowa City ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
98963424 POLYGON ((-91.53673 41.66305, -91.53652 41.663... NaN Calvin Hall NaN NaN NaN NaN [1144948814, 1144948812, 1144948842, 114494881... university Iowa City ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
1012809758 POLYGON ((-91.53519 41.66737, -91.53519 41.667... NaN NaN NaN NaN NaN NaN [6786644719, 6786644724, 6786644725, 678664471... university NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
relation 2083330 POLYGON ((-91.54664 41.66240, -91.54668 41.662... NaN Medical Education Building NaN NaN NaN NaN [[[1674982992, 1674982775, 8958186243, 8958186... university NaN ... no NaN NaN NaN NaN NaN NaN NaN [155058703, 968278402, 155058665] multipolygon
8736392 MULTIPOLYGON (((-91.53408 41.66517, -91.53395 ... NaN 110 East Bloomington NaN NaN NaN NaN [[[5928063852, 5928063853, 5928063854, 5928063... university Iowa City ... NaN NaN NaN NaN NaN NaN NaN NaN [627943467, 627943468] multipolygon
10032651 POLYGON ((-91.53556 41.65778, -91.53503 41.657... music_school Voxman Music Building NaN NaN NaN NaN [[[4393917049, 4393917050, 4393917051, 4393917... university Iowa City ... NaN NaN NaN NaN NaN NaN NaN NaN [441673776] multipolygon
10052744 POLYGON ((-91.58117 41.66237, -91.58034 41.662... NaN Hawkeye Tennis and Recreation Complex NaN NaN NaN NaN [[[2011789476, 2011789478, 2011789480, 2011789... university NaN ... NaN NaN NaN NaN NaN NaN NaN NaN [190531542, 726004092] multipolygon

119 rows × 58 columns

In [ ]:
uiowa_buildings_gdf.plot()
Out[ ]:
<Axes: >
No description has been provided for this image
In [ ]:
# U of Iowa - Van Allen Hall
university_name = 'The University of Iowa'
building_name = 'Van Allen Hall'
city_name = 'Iowa City'
state_name = 'Iowa'
tags = {'building':'university', 'city':city_name, 'state':state_name}

vah_gdf = ox.features_from_place(building_name, tags)
vah_gdf
Out[ ]:
nodes addr:housenumber addr:postcode addr:state addr:street building name name:etymology name:etymology:wikidata name:etymology:wikipedia source geometry
element_type osmid
way 116181505 [1310721682, 1310721666, 1310721597, 131072165... 30 52242 IA North Dubuque Street university Van Allen Hall James Van Allen Q271963 en:James Van Allen USGS Geonames POLYGON ((-91.53214 41.66171, -91.53214 41.662...
In [ ]:
vah_gdf.explore()
Out[ ]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [ ]:
# U of Iowa - All Buildings
university_name = 'The University of Iowa'
city_name = 'Iowa City'
state_name = 'Iowa'
tags = {'building':'university', 'city':city_name, 'state':state_name}

uiowa_buildings_gdf = ox.features_from_place(university_name, tags)
uiowa_buildings_gdf
Out[ ]:
geometry amenity name parking layer operator access nodes building addr:city ... gnis:reviewed long_name sauna swimming_pool website height golf razed:building ways type
element_type osmid
way 92980511 POLYGON ((-91.54348 41.66177, -91.54348 41.662... NaN Nursing Building NaN NaN NaN NaN [1077851443, 1077851452, 1077851490, 135330424... university NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
92980515 POLYGON ((-91.54394 41.66348, -91.54394 41.663... clinic Westlawn - Student Health Services NaN NaN The University of Iowa NaN [4374102416, 1077851484, 1077851486, 107785144... university Iowa City ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
97402194 POLYGON ((-91.54544 41.66316, -91.54509 41.663... NaN Medical Education and Biomedical Research Faci... NaN NaN NaN NaN [1128067118, 1128067112, 1128067125, 112806701... university Iowa City ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
98963423 POLYGON ((-91.53862 41.66352, -91.53845 41.663... NaN Iowa Memorial Union NaN NaN NaN NaN [1144948836, 6789252024, 6789252025, 678925202... university Iowa City ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
98963424 POLYGON ((-91.53673 41.66305, -91.53652 41.663... NaN Calvin Hall NaN NaN NaN NaN [1144948814, 1144948812, 1144948842, 114494881... university Iowa City ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
1012809758 POLYGON ((-91.53519 41.66737, -91.53519 41.667... NaN NaN NaN NaN NaN NaN [6786644719, 6786644724, 6786644725, 678664471... university NaN ... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
relation 2083330 POLYGON ((-91.54664 41.66240, -91.54668 41.662... NaN Medical Education Building NaN NaN NaN NaN [[[1674982992, 1674982775, 8958186243, 8958186... university NaN ... no NaN NaN NaN NaN NaN NaN NaN [155058703, 968278402, 155058665] multipolygon
8736392 MULTIPOLYGON (((-91.53408 41.66517, -91.53395 ... NaN 110 East Bloomington NaN NaN NaN NaN [[[5928063852, 5928063853, 5928063854, 5928063... university Iowa City ... NaN NaN NaN NaN NaN NaN NaN NaN [627943467, 627943468] multipolygon
10032651 POLYGON ((-91.53556 41.65778, -91.53503 41.657... music_school Voxman Music Building NaN NaN NaN NaN [[[4393917049, 4393917050, 4393917051, 4393917... university Iowa City ... NaN NaN NaN NaN NaN NaN NaN NaN [441673776] multipolygon
10052744 POLYGON ((-91.58117 41.66237, -91.58034 41.662... NaN Hawkeye Tennis and Recreation Complex NaN NaN NaN NaN [[[2011789476, 2011789478, 2011789480, 2011789... university NaN ... NaN NaN NaN NaN NaN NaN NaN NaN [190531542, 726004092] multipolygon

119 rows × 58 columns

In [ ]:
uiowa_buildings_gdf.explore()
Out[ ]:
Make this Notebook Trusted to load map: File -> Trust Notebook
In [ ]:
%%capture
%%bash
jupyter nbconvert first-map.ipynb --to html

---------------------------------------------------------------------------
CalledProcessError                        Traceback (most recent call last)
Cell In[1], line 1
----> 1 get_ipython().run_cell_magic('bash', '', 'jupyter nbconvert wausau-precip.ipynb --to html\n')

File /opt/conda/lib/python3.11/site-packages/IPython/core/interactiveshell.py:2541, in InteractiveShell.run_cell_magic(self, magic_name, line, cell)
   2539 with self.builtin_trap:
   2540     args = (magic_arg_s, cell)
-> 2541     result = fn(*args, **kwargs)
   2543 # The code below prevents the output from being displayed
   2544 # when using magics with decorator @output_can_be_silenced
   2545 # when the last Python token in the expression is a ';'.
   2546 if getattr(fn, magic.MAGIC_OUTPUT_CAN_BE_SILENCED, False):

File /opt/conda/lib/python3.11/site-packages/IPython/core/magics/script.py:155, in ScriptMagics._make_script_magic.<locals>.named_script_magic(line, cell)
    153 else:
    154     line = script
--> 155 return self.shebang(line, cell)

File /opt/conda/lib/python3.11/site-packages/IPython/core/magics/script.py:315, in ScriptMagics.shebang(self, line, cell)
    310 if args.raise_error and p.returncode != 0:
    311     # If we get here and p.returncode is still None, we must have
    312     # killed it but not yet seen its return code. We don't wait for it,
    313     # in case it's stuck in uninterruptible sleep. -9 = SIGKILL
    314     rc = p.returncode or -9
--> 315     raise CalledProcessError(rc, cell)

CalledProcessError: Command 'b'jupyter nbconvert wausau-precip.ipynb --to html\n'' returned non-zero exit status 255.