In [1]:

    

import os
import wbdata
import pandas as pd


    

In [2]:

    

dir_df = os.path.join(os.path.abspath(''),'stg')


    

In [3]:

    

# List of datasource -> 16 Healt
# wbdata.get_source()


    

In [4]:

    

# Lista di indicatori -> SP.DYN.LE00.IN      	Life expectancy at birth, total (years)
# wbdata.get_indicator(source=16)


    

In [5]:

    

#wbdata.search_countries("ital")


    

In [6]:

    

# Interessato solo all'Italia -> Resitutisce un Dictionary
dc = wbdata.get_data("SP.DYN.LE00.IN", country='ITA')


    

In [7]:

    

# Trasformo in DataFrame
df = pd.DataFrame(dc)


    

In [8]:

    

df.drop(['decimal','indicator','country'], axis=1, inplace=True)
df.rename(columns={'value': 'Speranza di vita alla nascita'}, inplace=True)


    

In [9]:

    

df.head(2)


    

    
Out[9]:






  

    

      

      
date
      
Speranza di vita alla nascita
    
  
  

    

      
0
      
2016
      
None
    
    

      
1
      
2015
      
83.490243902439
    
  

In [10]:

    

df_filename = r'df_g3.pkl'
df_fullpath = os.path.join(dir_df, df_filename)
df.to_pickle(df_fullpath)