Dashboard

View a running version of this project. | Download this project.


NYC Taxi data with Datashader and Panel

The NYC Taxi trips dataset is a well-studied data science example. Here we show how to build a simple dashboard for exploring 10 million taxi trips in a Jupyter notebook using Datashader, then deploying it as a standalone dashboard using Panel.

Running the dashboard requires having a live Python process running (not just a static webpage or anaconda.org notebook viewer). Before you run the notebook or server, you'll need to set up a conda environment and run conda install -c pyviz datashader panel geoviews, and you'll need to get the data file.

In [1]:
import holoviews as hv, param, dask.dataframe as dd
import panel as pn

from colorcet import cm
from holoviews.operation.datashader import rasterize, shade
from holoviews.streams import RangeXY
from holoviews.element.tiles import StamenTerrain

hv.extension('bokeh', logo=False)

usecols = ['dropoff_x','dropoff_y','pickup_x','pickup_y','dropoff_hour','pickup_hour','passenger_count']
df = dd.read_parquet('data/nyc_taxi_wide.parq')[usecols].persist()
opts = dict(width=1000,height=600,xaxis=None,yaxis=None,bgcolor='black',show_grid=False)
cmaps = ['fire','bgy','bgyw','bmy','gray','kbc']


class NYCTaxiExplorer(param.Parameterized):
    alpha      = param.Magnitude(default=0.75, doc="Alpha value for the map opacity")
    cmap       = param.ObjectSelector(cm['fire'], objects={c:cm[c] for c in cmaps})
    hour       = param.Range(default=(0, 24), bounds=(0, 24))
    location   = param.ObjectSelector(default='dropoff', objects=['dropoff', 'pickup'])

    @param.depends('location', 'hour')
    def points(self):
        points = hv.Points(df, kdims=[self.location+'_x', self.location+'_y'], vdims=['dropoff_hour'])
        if self.hour != (0, 24): points = points.select(dropoff_hour=self.hour)
        return points

    def view(self,**kwargs):
        points = hv.DynamicMap(self.points)
        tiles = StamenTerrain().apply.opts(alpha=self.param.alpha, **opts)
        agg = rasterize(points, x_sampling=1, y_sampling=1, width=600, height=400)
        return tiles * shade(agg, cmap=self.param.cmap)

taxi = NYCTaxiExplorer(name="NYC Taxi Trips")
pn.Row(taxi.param, taxi.view()).servable()