In [1]:

    

from vega import VegaLite


    

In [2]:

    

import pandas as pd
from altair import Chart, X, Y, Axis, EncodingSortField, datum

budget = pd.read_csv("https://github.com/chris1610/pbpython/raw/master/data/mn-budget-detail-2014.csv")
budget.head()


    

    
Out[2]:







  

    

      

      
category
      
detail
      
amount
    
  
  

    

      
0
      
UNIVERSITY OF MINNESOTA
      
Higher Education Asset Preservation (HEAPR) 1
      
42500000
    
    

      
1
      
UNIVERSITY OF MINNESOTA
      
Minneapolis; Tate Laboratory Renovation
      
56700000
    
    

      
2
      
UNIVERSITY OF MINNESOTA
      
Crookston; Wellness Center
      
10000000
    
    

      
3
      
UNIVERSITY OF MINNESOTA
      
Research Laboratories
      
8667000
    
    

      
4
      
UNIVERSITY OF MINNESOTA
      
Duluth; Chemical Sciences and Advanced Materia...
      
1500000
    
  

In [3]:

    

budget_top_10 = budget.sort_values(by='amount',ascending=False)[:10]


    

In [4]:

    

Chart(budget_top_10).mark_bar().encode(x='detail', y='amount')


    

    
Out[4]:

In [5]:

    

Chart(budget_top_10).mark_bar().encode(y='detail', x='amount')


    

    
Out[5]:

In [6]:

    

Chart(budget_top_10).mark_bar().encode(
    x=X('detail'),
    y=Y('amount'),
    color='category')


    

    
Out[6]:

In [7]:

    

Chart(budget).mark_bar().encode(
    x=X('detail:O', sort=EncodingSortField(field='amount', order='descending', op='sum'),
        axis=Axis(title='Project')),
    y=Y('amount:Q',
        axis=Axis(title='2014 Budget')),
    color='category').transform_filter(
      (datum.amount >= 10000000)
        )


    

    
Out[7]:

In [8]:

    

c = Chart(budget).mark_bar().encode(
    y=Y('category', sort=EncodingSortField(field='amount', order='descending', op='sum'),
        axis=Axis(title='Category')),
    x=X('sum(amount)',
        axis=Axis(title='2014 Budget')))
c


    

    
Out[8]:

In [ ]:

    

import altair as alt
from vega_datasets import data

cars = data.cars.url

alt.Chart(cars).mark_point().encode(
    x='Horsepower:Q',
    y='Miles_per_Gallon:Q',
    color=alt.Color('Acceleration:Q', bin=alt.Bin(maxbins=5))
)


    

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