# Map plots¶

Plots on Mapbox maps are available only considering you have a Mapbox account and a Mapbox Access Token. After getting a mabox token it can be written set to pandapower as the following (where '<token>' needs to be replaced with provided mapbox token)

In [ ]:
from pandapower.plotting.plotly.mapbox_plot import set_mapbox_token
set_mapbox_token('<token>')


If network geodata are in Geographic coordinate system as latitude/longitude, a network can be plot on different maps. Moreover, if network geodata are not in latitude/longitude, but in some of the projections, it may be converted to lat/long by providing name of the projection (in the form 'epsg:projection_number'according to http://spatialreference.org/ref/epsg/).

Following example shows plot of the network mv_oberrhein, where network geodata are in Gauss-Kruger projection (zone 3).
Since geodata are not in lat/long, plot using only on_map=True cannot be realized on a map:

In [ ]:
from pandapower.plotting.plotly import simple_plotly, pf_res_plotly, vlevel_plotly
from pandapower.networks import mv_oberrhein

net = mv_oberrhein()


The plot can be obtained if one knows specific projection and zone. In this case it is 3-degree Gauss-Kruger zone 3, which corresponds to epsg:31467:

In [ ]:
net = mv_oberrhein()
simple_plotly(net, on_map=True, projection='epsg:31467')


## Transforming geo-data from a projection to lat/long¶

There is a function available in pandapower which uses pyproj to transform geodata from a projection to WGS84 (lat/long). It transforms and replaces net.bus_geodata and net.line_geodata (if existing). An example for mv_oberreihn:

In [ ]:
net = mv_oberrhein()

from pandapower.plotting.plotly.mapbox_plot import geo_data_to_latlong
geo_data_to_latlong(net, projection='epsg:31467')


## Some more map plots...¶

The following map styles are available:

• 'streets'
• 'bright'
• 'light'
• 'dark'
• 'satellite'
In [ ]:
simple_plotly(net, on_map=True,map_style='satellite')

In [ ]:
net = mv_oberrhein()
simple_plotly(net, on_map=True, projection='epsg:31467', map_style='streets')

In [ ]:
pf_res_plotly(net, on_map=True, map_style='dark')


More tutorials about interactive plots using ploltly: