The gallery contains a list of plots using the provided sample files. Try to execute the listed calls from the example directory.
This route plot uses sorting to get a rainbow like result. Since the coordinates
are not nested but a list of points, the --jpath_x
and --jpath_y
flags are
reset to ""
.
nextplot route \
--input_route ../data/dortmund-route.json \
--jpath_route "state.drivers[*].geometry.coordinates" \
--jpath_x "" \
--jpath_y "" \
--output_map dortmund-route.map.html \
--output_plot dortmund-route.plot.html \
--output_image dortmund-route.plot.png \
--sort_color
Image result:
Map result (link):
This cluster plot has a separate file containing the coordinates while the main
file contains sets of indices referring to them as clusters. Furthermore, it
uses sorting to get a rainbow like result. Since the coordinates are not nested
but a list of points, the --jpath_x
and --jpath_y
flags are reset to ""
.
nextplot cluster \
--input_cluster ../data/dortmund-cluster.json \
--jpath_cluster "state.clusters[*].points" \
--input_pos ../data/dortmund-point.json \
--jpath_pos "points" \
--jpath_x "" \
--jpath_y "" \
--output_map dortmund-cluster.map.html \
--output_plot dortmund-cluster.plot.html \
--output_image dortmund-cluster.plot.png \
--sort_color
Image result:
Map result (link):
This point plot uses sorting to get a rainbow like result.
nextplot point \
--input_point ../data/dortmund-route.json \
--jpath_point "state.drivers[*].geometry.coordinates" \
--jpath_x "" \
--jpath_y "" \
--output_map dortmund-point.map.html \
--output_plot dortmund-point.plot.html \
--output_image dortmund-point.plot.png \
--no_points \
--sort_color
Image result:
Map result (link):
This route plot uses custom x, y paths, omits the depot location at start & end, quadruples the width of the route lines and adds a custom tile layer.
nextplot route \
--input_route ../data/paris-route.json \
--jpath_route "state.tours[*].route" \
--jpath_x "location[1]" \
--jpath_y "location[0]" \
--output_map paris-route.map.html \
--output_plot paris-route.plot.html \
--output_image paris-route.plot.png \
--omit_start \
--omit_end \
--custom_map_tile 'https://{s}.basemaps.cartocdn.com/dark_nolabels/{z}/{x}/{y}{r}.png,DarkMatter no labels,<a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a>' \
--weight_route 2.5 \
--weight_points 4
Image result:
Map result (link):
This plot uses routingkit and therefore needs OSM information. Download a suitable region file via:
wget -N http://download.geofabrik.de/north-america/us/texas-latest.osm.pbf
This route plot uses routingkit for plotting road paths. Alternatively, spin up
a local OSRM server and use the --osrm_host
flag to use it (see
osrm-steps). Furthermore, unassigned points are plotted in
addition to the route stops.
nextplot route \
--input_route ../data/fleet-cloud.json \
--jpath_route "state.vehicles[*].route" \
--jpath_unassigned "state.unassigned" \
--output_map fleet-cloud.map.html \
--output_plot fleet-cloud.plot.html \
--output_image fleet-cloud.plot.png \
--rk_osm "texas-latest.osm.pbf"
Image result:
Map result (link):
This plot uses routingkit like the one above. Download a suitable region file via:
wget -N https://download.geofabrik.de/europe/france/ile-de-france-latest.osm.pbf
In addition to what the plots above introduced, this one adds start and end
markers for the routes. Since the routes in the paris-route.json
file start at
a mutual "depot", we are omitting the start and end to get individual markers.
nextplot route \
--input_route ../data/paris-route.json \
--jpath_route "state.tours[*].route" \
--jpath_x "location[1]" \
--jpath_y "location[0]" \
--omit_start \
--omit_end \
--output_map paris-markers.map.html \
--output_plot paris-markers.plot.html \
--output_image paris-markers.plot.png \
--start_end_markers \
--rk_osm "ile-de-france-latest.osm.pbf"
Image result:
Map result (link):
This plot adds animations as an indication for route direction to previous plot. Hence, don't forget to download a suitable region file (see above).
nextplot route \
--input_route ../data/fleet-cloud.json \
--jpath_route "state.vehicles[*].route" \
--jpath_unassigned "state.unassigned" \
--output_map fleet-cloud.map.html \
--output_plot fleet-cloud.plot.html \
--output_image fleet-cloud.plot.png \
--rk_osm "texas-latest.osm.pbf" \
--route_direction animation
Map result (link):
Following command plots the points of the Paris file while maintaining their grouping (as indicated by the jpath - grouped by route).
nextplot point \
--input_point ../data/paris-route.json \
--jpath_point state[*].tours[*].route \
--jpath_x location[1] \
--jpath_y location[0] \
--output_map paris-point-grouped.map.html \
--output_plot paris-point-grouped.plot.html \
--output_image paris-point-grouped.plot.png \
--no_points \
--weight_points 4
Image result:
Map result (link):
Following command plots the same points ignoring their grouping.
nextplot point \
--input_point ../data/paris-route.json \
--jpath_point state[*].tours[*].route[*].location \
--output_map paris-point-ungrouped.map.html \
--output_plot paris-point-ungrouped.plot.html \
--output_image paris-point-ungrouped.plot.png \
--weight_points 4 \
--swap \
--no_points \
--sort_color
Image result:
Map result (link):
Following command plots the solution value progression of two hop runs with all
solutions returned. The default jpaths adhere to hop's all solutions structure.
However, if necessary jpath_solution
, jpath_value
& jpath_elapsed
can be
used to customize the path to the relevant information. For additional
information please refer to nextplot progression --help
.
nextplot progression \
--input_progression 0.7.3,../data/fleet-cloud-all-0.7.3.json 0.8,../data/fleet-cloud-all-0.8.json \
--output_png fleet-cloud-comparison.png \
--output_html fleet-cloud-comparison.html \
--title "Fleet cloud comparison"
Interactive result: link
Image result: