In [61]:

    

%matplotlib inline
import pandas as pd

coverage = pd.read_csv("../input/spring-petclinic/jacoco.csv")[['PACKAGE','LINE_COVERED']]
coverage.groupby('PACKAGE').sum().plot(kind='barh')


    

    
Out[61]:





<matplotlib.axes._subplots.AxesSubplot at 0x2757db46630>






    

In [63]:

    

import py2neo

graph = py2neo.Graph()
graph


    

    
Out[63]:





<Graph uri='http://localhost:7474/db/data/'>

In [64]:

    

query="""
MATCH (p:Package)-[:CONTAINS]->(t:Type) RETURN p.fqn as package, COUNT(t) as t_count
"""
pd.set_option('max_colwidth', 1)
pd.DataFrame(graph.data(query))


    

    
Out[64]:







  

    

      

      
package
      
t_count
    
  
  

    

      
0
      
org.springframework.samples.petclinic.repository.springdatajpa
      
4
    
    

      
1
      
org.springframework.samples.petclinic.repository.jpa
      
4
    
    

      
2
      
org.springframework.samples.petclinic.repository
      
4
    
    

      
3
      
org.springframework.samples.petclinic.service
      
6
    
    

      
4
      
org.springframework.samples.petclinic.model
      
11
    
    

      
5
      
org.springframework.samples.petclinic.util
      
2
    
    

      
6
      
org.springframework.samples.petclinic.repository.jdbc
      
9
    
    

      
7
      
org.springframework.samples.petclinic.web
      
15
    
    

      
8
      
org.springframework.samples.petclinic
      
1
    
  

In [28]:

    

pd.DataFrame.from_dict?


    

In [ ]: