'YEAR': pandas.to_datetime(
[str(year) for year in np.arange(2005, 2013)] * 3) ,
'XER': ['ITA'] * 8 + ['FRA'] * 8 + ['DEU'] * 8,
'X': np.random.randn(24),
'K': np.random.randn(24),
})
stk = Stark(df)
stk.md['vars']['YEAR']['type'] = 'D'
stk.md['vars']['XER']['type'] = 'D'
stk.md['vars']['X']['type'] = 'N'
stk.md['vars']['K']['type'] = 'N'
stk['OUT'] = '$X / $K * 1000'
stk.cagr('X')
stk.cagr('OUT')
stk.logit('K')
df1 = pandas.DataFrame({
'XER': ['ITA', 'FRA', 'ESP'],
'K': np.random.randn(3),
'Q': np.random.randn(3),
})
stk1 = Stark(df1)
stk1.md['vars']['XER']['type'] = 'D'
stk1.md['vars']['K']['type'] = 'N'
stk1.md['vars']['Q']['type'] = 'N'
stk_tot = stk.merge(stk1)
print stk_tot
