In [1]:

    

import altair.vegalite.v2 as vl
from altair.datasets import load_dataset


    

In [2]:

    

cars = load_dataset('cars')


    

In [3]:

    

cars.head()


    

    
Out[3]:







  

    

      

      
Acceleration
      
Cylinders
      
Displacement
      
Horsepower
      
Miles_per_Gallon
      
Name
      
Origin
      
Weight_in_lbs
      
Year
    
  
  

    

      
0
      
12.0
      
8
      
307.0
      
130.0
      
18.0
      
chevrolet chevelle malibu
      
USA
      
3504
      
1970-01-01
    
    

      
1
      
11.5
      
8
      
350.0
      
165.0
      
15.0
      
buick skylark 320
      
USA
      
3693
      
1970-01-01
    
    

      
2
      
11.0
      
8
      
318.0
      
150.0
      
18.0
      
plymouth satellite
      
USA
      
3436
      
1970-01-01
    
    

      
3
      
12.0
      
8
      
304.0
      
150.0
      
16.0
      
amc rebel sst
      
USA
      
3433
      
1970-01-01
    
    

      
4
      
10.5
      
8
      
302.0
      
140.0
      
17.0
      
ford torino
      
USA
      
3449
      
1970-01-01
    
  

In [4]:

    

vl.data_transformers.enable('json')


    

In [5]:

    

spec = {
  "data": vl.pipe(cars, vl.data_transformers.get()),
  "vconcat": [{
    "selection": {
      "brush": {"type": "interval"}
    },
    "mark": "point",
    "encoding": {
      "x": {"field": "Horsepower","type": "quantitative"},
      "y": {"field": "Miles_per_Gallon","type": "quantitative"}
    }
  }, {
    "transform": [
      {"filter": {"selection": "brush"}}
    ],
    "mark": "point",
    "encoding": {
      "x": {
        "field": "Acceleration", "type": "quantitative",
        "scale": {"domain": [0,25]}
      },
      "y": {
        "field": "Displacement","type": "quantitative",
        "scale": {"domain": [0, 500]}
      }
    }
  }]
}


    

In [3]:

    

vg.renderers.enable('notebook')


    

In [ ]:

    

vg.renderers.enable('default')


    

In [12]:

    

vl.renderers.get()(spec)


    

    
Out[12]:





({'application/vnd.vegalite.v2+json': {'data': {'format': {'type': 'json'},
    'url': '/files/github/altair-viz/altair/notebooks/altair-data-0004ed27-fa48-4358-8bac-bea454ea1c74.json'},
   'vconcat': [{'encoding': {'x': {'field': 'Horsepower',
       'type': 'quantitative'},
      'y': {'field': 'Miles_per_Gallon', 'type': 'quantitative'}},
     'mark': 'point',
     'selection': {'brush': {'type': 'interval'}}},
    {'encoding': {'x': {'field': 'Acceleration',
       'scale': {'domain': [0, 25]},
       'type': 'quantitative'},
      'y': {'field': 'Displacement',
       'scale': {'domain': [0, 500]},
       'type': 'quantitative'}},
     'mark': 'point',
     'transform': [{'filter': {'selection': 'brush'}}]}]},
  'text/plain': '<VegaLite 2 object>'},
 {})

In [13]:

    

vl.vegalite(spec, validate=True)


    

    






<VegaLite 2 object>

In [9]:

    

vl.renderers.enable('json')


    

In [10]:

    

vl.vegalite(spec, validate=True)


    

    






<VegaLite 2 object>