Basic Vega-Lite Example

In [7]:

    

import pandas as pd
df = pd.read_json('cars.json')


    

In [8]:

    

df[:10]


    

    
Out[8]:






  

    

      

      
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
    
    

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

      
2
      
11.0
      
8
      
318.0
      
150.0
      
18.0
      
plymouth satellite
      
USA
      
3436
      
1970
    
    

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

      
4
      
10.5
      
8
      
302.0
      
140.0
      
17.0
      
ford torino
      
USA
      
3449
      
1970
    
    

      
5
      
10.0
      
8
      
429.0
      
198.0
      
15.0
      
ford galaxie 500
      
USA
      
4341
      
1970
    
    

      
6
      
9.0
      
8
      
454.0
      
220.0
      
14.0
      
chevrolet impala
      
USA
      
4354
      
1970
    
    

      
7
      
8.5
      
8
      
440.0
      
215.0
      
14.0
      
plymouth fury iii
      
USA
      
4312
      
1970
    
    

      
8
      
10.0
      
8
      
455.0
      
225.0
      
14.0
      
pontiac catalina
      
USA
      
4425
      
1970
    
    

      
9
      
8.5
      
8
      
390.0
      
190.0
      
15.0
      
amc ambassador dpl
      
USA
      
3850
      
1970
    
  

In [9]:

    

from vega import VegaLite


    

In [10]:

    

VegaLite({
  "mark": "point",
  "encoding": {
    "y": {"type": "quantitative","field": "Acceleration"},
    "x": {"type": "quantitative","field": "Horsepower"}
  }
}, df)


    

In [11]:

    

VegaLite({
  "description": "A scatterplot showing horsepower and miles per gallons.",
  "mark": "point",
  "encoding": {
    "x": {"field": "Horsepower", "type": "quantitative"},
    "y": {"field": "Miles_per_Gallon", "type": "quantitative"},
    "color": {"field": "Origin", "type": "nominal"},
    "shape": {"field": "Origin", "type": "nominal"}
  }
}, df)


    

In [ ]: