Selecting data for use in Python: Singapore taxi location data

Often it's easier to use a visual application to draw a shape than define a geometry in code. Here we'll explore how pydeck can be used to select data and pass that selected data back to the Jupyter kernel for use in Pandas.

Getting the data
Plotting the data
Interaction

Getting the data

Here we'll use the live taxi location API provided by the government of Singapore.



In [ ]:

    
import pydeck as pdk

DATA_URL = 'https://api.data.gov.sg/v1/transport/taxi-availability'
COLOR_RANGE = [
  [255, 255, 178, 25],
  [254, 217, 118, 85],
  [254, 178, 76, 127],
  [253, 141, 60, 170],
  [240, 59, 32, 212],
  [189, 0, 38, 255]
]



In [ ]:

    
import pandas as pd
import requests

json = requests.get(DATA_URL).json()
df = pd.DataFrame(json["features"][0]["geometry"]["coordinates"])
df.columns = ['lng', 'lat']

viewport = pdk.data_utils.compute_view(df[['lng', 'lat']])
layer = pdk.Layer(
    'ScreenGridLayer',
    df,
    cell_size_pixels=20,
    color_range=COLOR_RANGE,
    get_position='[lng, lat]',
    pickable=True,
    auto_highlight=True)
r = pdk.Deck(layers=[layer], initial_view_state=viewport)



In [ ]:

    
r.show()

Two way communication

Click the above visualization and then execute the cell below to pass data from the application to Python



In [ ]:

    
pd.DataFrame(r.selected_data)

Selecting data for use in Python: Singapore taxi location data

Contents

Getting the data

Two way communication