Potato Companionship for Rent!

A startup wants to get rich quickly. The plan is simple: Potato buddies for rent.

Plotting Potato usage

We are unable to track the potatoes on real time, unfortunately. But we are able to track their location once they get attached to Potato Chargers.



In [1]:

    
from bokeh.io import output_file
from bokeh.plotting import figure, show
from bokeh.models.glyphs import ImageURL
from bokeh.models import GMapPlot, GMapOptions, Circle, PanTool, WheelZoomTool, BoxSelectTool
from bokeh.models import Range1d, ColumnDataSource
from helpercode import generateTimeData, generateLocations
from scipy import stats as spst



In [2]:

    
api_key='lulz not falling for that one'
samples=1000
radius=10 #km
center={'lat':57.7090,'lon':11.9745} #centerpoint



In [3]:

    
#fetch potato booking data. startdate, enddate, length of booking.
dataTimeDict=generateTimeData(spst.genpareto, 1.,{'loc':1800.,'scale':3.}, samples)



In [4]:

    
dataLocationDict=generateLocations(samples,radius,center)
#Simple sanity check
print((dataLocationDict['lat'][0],dataLocationDict['lon'][0]))









    



(57.687454634771321, 12.018806600764776)



In [5]:

    
#Starting point is the geodata example from Bokeh: 
#https://bokeh.pydata.org/en/latest/docs/user_guide/geo.html
map_options = GMapOptions(lat=57.709041, lng=11.974550, 
                          map_type="roadmap", zoom=11)

plot = GMapPlot(x_range=Range1d(), y_range=Range1d(), 
                map_options=map_options)

plot.title.text = "GBG radius {} km".format(radius)

plot.api_key = api_key

source = ColumnDataSource(
    data=dataLocationDict
    )

circle = Circle(x="lon", y="lat", size=7, fill_color="Coral", fill_alpha=0.8, line_color=None)
plot.add_glyph(source, circle)

plot.add_tools(PanTool(), WheelZoomTool(), BoxSelectTool())
output_file("gmap_plot.html")
show(plot)



In [ ]: