In [1]:

    

import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
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_g7_n_filename = r'df_g7_nord.pkl'
df_g7_n_fullpath = os.path.join(dir_df, df_g7_n_filename)
df_g7_nord = pd.read_pickle(df_g7_n_fullpath)

df_g7_s_filename = r'df_g7_sud.pkl'
df_g7_s_fullpath = os.path.join(dir_df, df_g7_s_filename)
df_g7_sud = pd.read_pickle(df_g7_s_fullpath)


    

In [4]:

    

# Plot figure with subplots of different sizes
fig = plt.figure(1)
# set up subplot grid
gridspec.GridSpec(1,2)


    

    
Out[4]:





<matplotlib.gridspec.GridSpec at 0x11a31e240>






    






<matplotlib.figure.Figure at 0x11a31e208>

In [5]:

    

fig, axes = plt.subplots(nrows=1, ncols=2)
tp1 = df_g7_nord.plot(
                kind='line',
                legend = True,
                ylim=(0,40),
                ax=axes[0]
                    )

tp2 = df_g7_sud.plot(
                kind='line',
                legend = False,
                ylim=(0,40),
                ax=axes[1]
                    )

tp1.set_xlabel("")
tp1.set_ylabel("")

axes[0].set_title('Nord')
axes[1].set_title('Sud')

tp2.set_xlabel("")
tp2.grid(True)
tp2.set_yticklabels([])
tp1.legend(loc='upper right',prop={'size':8})

plt.subplots_adjust(hspace=0.0, wspace=0.02, bottom=0.2)

fig.savefig(os.path.join(dir_out,'G7_Reddito_Popolazione.png'), format='png', dpi=1000)