In [1]:

    

import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('ggplot')
get_ipython().magic('pylab inline')


    

    




Populating the interactive namespace from numpy and matplotlib

In [2]:

    

# Cartelle Input/Output
dir_df = os.path.join(os.path.abspath(''),'stg')
dir_out = os.path.join(os.path.abspath(''),'output')


    

In [3]:

    

df_g8_filename = r'df_g8.pkl'
df_g8_fullpath = os.path.join(dir_df, df_g8_filename)
df_g8 = pd.read_pickle(df_g8_fullpath)


    

In [4]:

    

df_g8.head(5)


    

    
Out[4]:






  

    

      

      
Nord
      
Sud
    
    

      
Anno
      

      

    
  
  

    

      
1977
      
5.76
      
8.05
    
    

      
1978
      
6.09
      
7.98
    
    

      
1979
      
6.14
      
8.60
    
    

      
1980
      
6.15
      
8.89
    
    

      
1981
      
6.76
      
9.44
    
  

In [5]:

    

tp = df_g8.plot(kind='line',
               legend = True)
tp.set_xlabel("")
tp.set_ylabel("Tasso di disoccupazione")
plt.xticks(rotation=45)
fig_posts = tp.get_figure()
fig_posts.tight_layout()
fig_posts.savefig(os.path.join(dir_out,'G8_Disoccupazione.png'), format='png', dpi=1000)