QwarksDev/python-osrm

A Python wrapper around the OSRM API

python-osrm

A Python wrapper around the OSRM API.

• Provide an easy access to viaroute, table, trip, match and nearest functionnalities.
• Wrap most of the options of the API (overview, steps, alternatives, etc.).
• Allow to directly decode geometry to various formats (list of coordinates, WKT, WKB) to be integrated in, let's say, a geo-layer creation with python ogr package.
• Send coordinates encoded as Polyline as this is the prefered way to query the API.
• Allow to draw accessibility isochrones around a point (through the utilisation of OSRM table service).
• Intended to work on python 2.7.x and python 3.
• Open to suggestions !

---

• - Installation
• - Requires
  • - Linux
  • - Python packages
  • - Running the test suite
• - Usage
  • - match
  • - route
  • - table
  • - nearest
  • - Accessibility isochrones (based on OSRM table service)
  • - Trip
  • - Using a Point instance to avoid confusion between x/y/latitude/longitude
  • - Easily change the host / profile name to query
    • - By changing the default url
    • - Or using a new RequestConfig instance, to switch between various url and use basic authentification

Installation

$ pip install osrm

Requires

Linux

• libgdal-dev

Python packages

• polyline
• numpy
• pandas
• geopandas
• GDAL

Running the test suite

python setup.py test

Usage

match

In [17]: import osrm

In [18]: points = [(-33.45017046193167,-70.65281867980957),
          (-33.45239047269638,-70.65300107002258),
          (-33.453867464504555,-70.65277576446533)]

In [19]: result = osrm.match(points, steps=False, overview="simplified")

route

Return the original JSON reponse from OSRM (with optionnaly the geometry decoded in WKT or WKB), allow optionnaly to only output the routes.

In [23]: import osrm
In [24]: result = osrm.simple_route(
                      [21.0566163803209,42.004088575972], [20.9574645547597, 41.5286973392856],
                      output='route', overview="full", geometry='wkt')

In [25]: result[0]['distance']
Out[25]: 76271

In [26]: result[0]['geometry']
Out[26]:
'LINESTRING (21.056616 42.004088 0,21.056629 42.004078 0,21.056937 42.003885 0,
(...)
,20.957376 41.529222 0,20.957172 41.528817 0,20.957466 41.528699 0)'

table

A simple wrapping function to fetch the matrix computed by OSRM as a dataframe (or as a numpy array), as well as corrected/snapped localisation of the points used.

In [28]: import osrm

In [29]: list_coord = [[21.0566163803209, 42.004088575972],
    ...:               [21.3856064050746, 42.0094518118189],
    ...:               [20.9574645547597, 41.5286973392856],
    ...:               [21.1477394809847, 41.0691482795275],
    ...:               [21.5506463080973, 41.3532256406286]]

In [30]: list_id = ['name1', 'name2', 'name3', 'name4', 'name5']

In [31]: time_matrix, snapped_coords = osrm.table(list_coord,
                                  				  ids_origin=list_id,
                                  				  output='dataframe')

In [32]: time_matrix
Out[32]:
       name1  name2  name3  name4  name5
name1    0.0   25.7   69.8  169.7  126.8
name2   26.1    0.0   88.1  149.4  106.3
name3   70.2   88.6    0.0  100.0   65.6
name4  158.4  137.6   99.8    0.0   49.4
name5  115.4   94.6   65.6   48.8    0.0

nearest

In [22]: import osrm

In [23]: res = osrm.nearest([22.1021271845936,	41.5078687005805])

In [24]: res
Out[24]:
{'waypoints': [{'name': 'Friedrichstraße',
   'hint': 'niwKgGPotIqSrAAAEAAAABgAAAAGAAAAAAAAAP-KNAepXJkDbrcAAP9LzACoWCEDO0zMAKxYIQMBAAEBfDhq3w==',
   'location': [13.388799, 52.517032],
   'distance': 4.085341}],
 'code': 'Ok'}

Accessibility isochrones (based on OSRM table service):

Current options are the number of class and the precision/size of the underlying grid used.

In [1]: import osrm

In [2]: Accessibility = osrm.AccessIsochrone((10.00,53.55), points_grid=450)

In [3]: gdf = Accessibility.render_contour(n_class=8)

In [4]: gdf.plot(cmap="YlOrRd")
Out[4]: <matplotlib.axes._subplots.AxesSubplot at 0x7f13447b8978>

In [5]: Accessibility.grid.plot()  # The grid of points is stored as a GeoDataFrame too
Out[5]: <matplotlib.axes._subplots.AxesSubplot at 0x7f134467ae80>

Trip

Fetch the full result (with geometry decoded to list, WKT or WKB) or grab only the order of the point to travel from.

In [5]: coords = [(13.388860,52.517037), (10.00,53.55), (52.374444,9.738611)]

In [6]: result = osrm.trip(coords, output = "only_index")

Using a Point instance to avoid confusion between x/y/latitude/longitude :

In [25]: from osrm import Point, simple_route

In [26]: p1 = Point(latitude=2.386459, longitude=48.512369)

In [27]: p2 = Point(latitude=2.536974, longitude=48.793416)

In [28]: result = simple_route(p1, p2)

Easily change the host / profile name to query:

By changing the default url :

In [31]: import osrm

In [32]: osrm.RequestConfig
Out[32]: http://localhost:5000/*/v1/driving

In [33]: osrm.RequestConfig.host = "router.project-osrm.org"

In [34]: result = osrm.simple_route(p1, p2)

Or using a new RequestConfig instance, to switch between various url and use basic authentification :

In [35]: MyConfig = osrm.RequestConfig("localhost:9999/v1/biking", basic_auth=("user", "pass"))

In [36]: MyConfig
Out[36]: localhost:9999/*/v1/biking

In [37]: MyConfig.profile = "driving"

In [38]: MyConfig
Out[38]: localhost:9999/*/v1/driving

In [39]: result = osrm.simple_route(p1, p2, url_config=MyConfig)