In [1]:

    

import sys
import os
sys.path.append(os.path.abspath('../../lib')) 

import sources


    

In [16]:

    

# from importlib import reload
# reload(sources)
%matplotlib inline


    

In [5]:

    

df = sources.world_bank("NY.GDP.MKTP.CD")


    

In [11]:

    

df.index.values


    

    
Out[11]:





array([('ABW', Period('1960', 'A-DEC')), ('ABW', Period('1961', 'A-DEC')),
       ('ABW', Period('1962', 'A-DEC')), ...,
       ('ZWE', Period('2014', 'A-DEC')), ('ZWE', Period('2015', 'A-DEC')),
       ('ZWE', Period('2016', 'A-DEC'))], dtype=object)

In [5]:

    

"as.asd.as".replace(".","_")


    

    
Out[5]:





'as_asd_as'

In [12]:

    

us = df["USA"]


    

In [25]:

    

# import pandas as pd
# pd.DataFrame({'gdp': us['1970':'1980'], 'gdp_1':us.shift(1)['1970':'1980']})


    

    
Out[25]:





pandas.core.series.Series

In [55]:

    

a = us['1980' : '1990'].reindex(pd.period_range('1980','2010',freq='A'))
b = us['2000' : '2010'].reindex(pd.period_range('1980','2010',freq='A'))
(a.combine_first(b) / 1e12).plot()
# us['1980' : '1990'].align(us['2000' : '2010'])


    

    
Out[55]:





<matplotlib.axes._subplots.AxesSubplot at 0x1104046a0>






    

In [ ]: