chrieke / prettymapp Goto Github PK

View Code? Open in Web Editor NEW

2.2K 7.0 252.0 22.69 MB

🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp

License: MIT License

Makefile 2.16% Python 92.02% Dockerfile 1.13% Jupyter Notebook 4.69%

osm map geography cartography art app streamlit prettymaps

prettymapp's Introduction

prettymapp 🖼️

Prettymapp is a webapp and Python package to create beautiful maps from OpenStreetMap data

🎈 Try it out here: prettymapp on streamlit 🎈

Based on the prettymaps project

Prettymapp is based on a rewrite of the fantastic prettymaps project by @marceloprates. All credit for the original idea, designs and implementation go to him. The prettymapp rewrite focuses on speed and adapted configuration to interface with the webapp. It drops more complex configuration options in favour of improved speed, reduced code complexity and simplified configuration interfaces. It is partially tested and adds a streamlit webapp component.

Running the app locally

git clone https://github.com/chrieke/prettymapp.git
cd prettymapp
pip install -r streamlit-prettymapp/requirements.txt
streamlit run streamlit-prettymapp/app.py

Python package

You can also use prettymapp without the webapp, directly in Python. This lets you customize the functionality or build your own application.

Installation:

pip install prettymapp

Define the area, download and plot the OSM data:

from prettymapp.geo import get_aoi
from prettymapp.osm import get_osm_geometries
from prettymapp.plotting import Plot
from prettymapp.settings import STYLES

aoi = get_aoi(address="Praça Ferreira do Amaral, Macau", radius=1100, rectangular=False)
df = get_osm_geometries(aoi=aoi)

fig = Plot(
    df=df,
    aoi_bounds=aoi.bounds,
    draw_settings=STYLES["Peach"]
).plot_all()

fig.savefig("map.jpg")

You can also plot exported OSM XML files e.g. from openstreetmap.org:

from prettymapp.osm import get_osm_geometries_from_xml

df = get_osm_geometries_from_xml(filepath="Berlin.osm")
aoi_bounds = df.total_bounds
...

To customize the map appearance, use the additional arguments of the Plot class (e.g. shape, contour_width etc.). Check the preconfigured styles and webapp examples for inspiration.

prettymapp's People

Contributors

Stargazers

Watchers

Forkers

maxcollombin alabarga tdiekel mikael-codes sergiolucero dotkwame przemograf thomaslobut benitezrcamilo org-for-fork seleneyang yaxianzhi akeamazan osmansahin andy-96 glalonde yuvalabou atiwary91 vidizb soiqualang sebasnaa codingtello2 yixuanwang886 sfr17lux leonidas1312 artemus andriipanasiuk softwarehistorysociety extratone kuruvasubhashini grp9-gi1-py sfc-gh-afafore cohord egerdm-ai curiousagent thangqd psychocean kj-9 daviey foresterre mattsimonis jyarbro benperiton moelf krischan timscodebase artisr jabberwockiii dgoeke hirajanwin sammcj docd fu-iq12 01001101ilad twointheboat eltociear itsarvindrajan simonneutert blkluv rkp64 dorucioclea bradparks evdcush smilebasti pnposch lx-files sfc-gh-gpijanski tokjonathan ryman urbanist-ai jamesyim0910 thinkspid jasont0731 tabithaharvey jackman337 denson hpanday13 akyzia robertsproles lucenajj millionyonas0 smuggerteey spinal933 bengbengle blackary owencutajar prince980075 ngakanasp briexman yunching0513 hongchengfu onelastkis jjhxiao codetomove efiherbst31 lenin438 sckrim1234 captisoficial krnwnaji idelson-mindo

prettymapp's Issues

Potential performance issue: Unreliable performance of .loc in pandas 2.0.3

Issue Description:

Hello.
I have discovered a performance degradation in the .loc function of pandas version 2.0.3 when .loc handling big DataFrame with non-unique indexes. When using pandas more than 4 indexes, .loc drastically increases to X1000 times. And I notice that requirements.txt, shows that it depends on pandas version 2.0.3. I am not sure whether this performance problem in pandas will affect this repository. I found some discussions on GitHub related to this issue, including #54550 and #54746.
I also found that prettymapp/osm.py used the influenced api. There may be more files used the influenced api.

Suggestion

I would recommend considering an upgrade to a different version of pandas >= 2.1 or exploring other solutions to optimize the performance of .loc .
Any other workarounds or solutions would be greatly appreciated.
Thank you!

License?

Looks like it's MIT licensed on PyPi: https://pypi.org/project/prettymapp/

Could the GitHub repo be updated with the license?

Hey! Could you check your PrettyMapp Streamlit App?

Hey there!

Sorry for bothering you, just wanted to let you know that PrettyMap (https://chrieke-prettymapp-streamlit-prettymappapp-1k0qxh.streamlitapp.com/) has gone over its resource limits and we cannot use it anymore. Could you please check this for me? I really like you App by the way, thanks for giving it to everyone!

Requirements.txt updates

Recreating the requirements from my pc I get:

attrs==21.4.0
certifi==2022.6.15
charset-normalizer==2.1.0
click==8.1.3
click-plugins==1.1.1
cligj==0.7.2
cycler==0.11.0
Fiona==1.8.21
fonttools==4.34.4
geopandas==0.11.1
idna==3.3
kiwisolver==1.4.4
matplotlib==3.5.2
munch==2.5.0
networkx==2.8.5
numpy==1.23.1
osmnx==1.2.1
packaging==21.3
pandas==1.4.3
Pillow==9.2.0
prettymapp==0.0.1
pyparsing==3.0.9
pyproj==3.3.1
python-dateutil==2.8.2
pytz==2022.1
requests==2.28.1
Rtree==1.0.0
Shapely==1.8.2
six==1.16.0
urllib3==1.26.11

Please let me know if it is correct.
Best regards

Randomize button

A randomize button for colors & settings

Error on submit

Hello there, I'm getting an error on the streamlit app when submitting a new location for generation. Sharing the error code below.

requests.exceptions.ConnectionError: This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you're on Streamlit Cloud, click on 'Manage app' in the lower right of your app).
Traceback:

File "/home/adminuser/venv/lib/python3.11/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 542, in _run_script
exec(code, module.dict)
File "/mount/src/prettymapp/streamlit-prettymapp/app.py", line 167, in
aoi = get_aoi(address=address, radius=radius, rectangular=rectangular)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/mount/src/prettymapp/prettymapp/geo.py", line 47, in get_aoi
lat, lon = geocode(address)
^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/osmnx/geocoder.py", line 45, in geocode
response_json = _nominatim._nominatim_request(params=params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/osmnx/_nominatim.py", line 106, in _nominatim_request
response = requests.get(
^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/requests/api.py", line 73, in get
return request("get", url, params=params, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/requests/api.py", line 59, in request
return session.request(method=method, url=url, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/requests/sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/requests/sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/adminuser/venv/lib/python3.11/site-packages/requests/adapters.py", line 519, in send
raise ConnectionError(e, request=request)

Buildings are only partially rendered

A user made me aware that buildings are currently only partially rendered. Need to investigate on the weekend.

Peach style having different zorders than the other styles

Hi,

thank you for this fantastic app/package! I just stumbled across a minor issue with the Peach style not showing a waterway in blue while the other styles do so (does not happen with every waterway). I had a quick look and it might have to do with the different zorders in this specific style. Is there a reason for that?

Extend prettymapp docs

Extend prettymapp docs for standalone Python package

Export image

can you add the possibility to export image in SVG or other file type?

Over resource limits on Streamlit Cloud

Hey there 👋 Just wanted to let you know that your app on Streamlit Cloud deployed from this repo has gone over its resource limits. Access to the app is temporarily limited. Visit the app to see more details and possible solutions.

Page won't load

Radius slider lacks units

One cannot tell if they're kilometers, meters, feet or miles.

Provide a way to export and import custom styles

It would be fantastic to be able to export styles and be able to re-import them when coming back to the web application to further work on them.

Index Issue

Hi,

I am quite new to python, and I am trying to create a python script in Visual Studio. But I am receiving the following error message. Is there a solution?

Many thanks
Blake

Known issues FAQ

Somer water areas are not shown or cut off

OSM does not provide ocean geometries via the API (status proposed), this is why some coastal areas seem to cut off water area. No good solution as of right now.

Seems to be broken

Error on home page

Fx_Map(Idea)

Mp$ide-sept

Website down

Hi there. The website (https://prettymapp.streamlit.app/) is down.

Converting elements to geometries can be very slow

Here's a log from a short prettymapp script, where it takes more than 25 minutes to turn the 430k OSM elements into 15k geometries:

run log

$ python test.py
2023-08-22 12:49:24 Retrieved response from cache file "cache/53357fd0e0ac99711e0cc9ad382774d108ad5f1c.json"
2023-08-22 12:49:24 Geocoded "Portland, ME, USA" to (43.6592687, -70.2572642)
get_aoi: 0.03806114196777344s
2023-08-22 12:49:24 Projected GeoDataFrame to +proj=utm +zone=19 +ellps=WGS84 +datum=WGS84 +units=m +no_defs +type=crs
2023-08-22 12:49:24 Projected GeoDataFrame to epsg:4326
2023-08-22 12:49:24 Requesting data within polygon from API in 1 request(s)
2023-08-22 12:49:25 Retrieved response from cache file "cache/fcafbd21a00421565ded846c08f8d131196d0635.json"
2023-08-22 12:49:25 Got all geometries data within polygon from API in 1 request(s)
2023-08-22 12:49:25 Converting 430154 elements in JSON responses to geometries
2023-08-22 13:15:43 14956 geometries created in the dict
2023-08-22 13:15:43 74 untagged geometries removed
2023-08-22 13:15:45 Created r-tree spatial index for 14882 geometries
2023-08-22 13:15:45 Identified 3537 geometries inside polygon
2023-08-22 13:15:45 11345 geometries removed by the polygon filter
2023-08-22 13:15:45 11811 geometries removed by the tag filter
2023-08-22 13:15:46 3030 geometries in the final GeoDataFrame
done
/Users/llimllib/.local/share/asdf/installs/python/3.10.12/lib/python3.10/site-packages/geopandas/tools/clip.py:67: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`
  clipped.loc[
get_osm_geometries: 1581.8291890621185s
plot: 0.26825881004333496s
plot: 2.8084590435028076s

Here's the full script (I manually edited prettymapp/osm.py to enable console logging - not sure how to do it otherwise):

test.py

from prettymapp.geo import get_aoi
from prettymapp.osm import get_osm_geometries
from prettymapp.plotting import Plot
from prettymapp.settings import STYLES

import time

t1 = time.time()

aoi = get_aoi(address="Portland, ME, USA", radius=1100, rectangular=False)
t2 = time.time()
print(f"get_aoi: {t2-t1}s")

df = get_osm_geometries(aoi=aoi)
t3 = time.time()
print(f"get_osm_geometries: {t3-t2}s")

fig = Plot(df=df, aoi_bounds=aoi.bounds, draw_settings=STYLES["Peach"]).plot_all()
t4 = time.time()
print(f"plot: {t4-t3}s")

fig.savefig("map.jpg")
t5 = time.time()
print(f"plot: {t5-t4}s")

Is there any way that could be sped up, or is it just a necessary cost?

edit: I ran the code under a profiler, and I didn't notice elarlier that all of the time is spent in osmnx, which spends it all in shapely:

profile report

In [8]: s.print_stats(15)
Tue Aug 22 14:45:31 2023    profile.log

         8894101 function calls (8720818 primitive calls) in 1557.185 seconds

   Ordered by: cumulative time
   List reduced from 7775 to 15 due to restriction <15>

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
   1125/1    0.004    0.000 1557.186 1557.186 {built-in method builtins.exec}
        1    0.000    0.000 1557.186 1557.186 test.py:1(<module>)
        1    0.059    0.059 1553.203 1553.203 prettymapp/prettymapp/osm.py:13(get_osm_geometries)
        1    0.028    0.028 1552.342 1552.342 site-packages/osmnx/geometries.py:236(geometries_from_polygon)
        1    0.175    0.175 1551.998 1551.998 site-packages/osmnx/geometries.py:330(_create_gdf)
        9    0.000    0.000 1548.878  172.098 site-packages/osmnx/geometries.py:690(_parse_relation_to_multipolygon)
        9    0.012    0.001 1548.587  172.065 site-packages/osmnx/geometries.py:839(_subtract_inner_polygons_from_outer_polygons)
     3243    0.015    0.000 1381.099    0.426 site-packages/shapely/geometry/base.py:689(difference)
     5854 1380.992    0.236 1381.002    0.236 site-packages/shapely/topology.py:66(__call__)
     9612  165.742    0.017  165.756    0.017 site-packages/shapely/predicates.py:11(__call__)
     3244    0.010    0.000  165.423    0.051 site-packages/shapely/geometry/base.py:815(within)

feature req: Plot from an osm file

Hi! The prettymapp & prettymaps are great projects that plot impressive maps 🥰
Now I need to make a map plot using prettymapp, and I prefer to download the osm file in advance, because the network is not good and I prefer making all the resources local, also, the osm file I want to plot is very big (~80 MB). I wonder if prettymapp can add an interface to pass in the osm file path and parse it offline? Or, may I know the walkaround in current situation? Thank you!

Any thoughts? I tried using different browsers but did not help.

Error running app. If this keeps happening, please contact support.

Both on Brave and in Firefox

Gallery

Would be great to link out or show a preview of a prettymapps gallery from social media etc.