def getinflations(inflations=ml_infl):
"""Normalize and average all inflation measures."""
# We will take the average of indexes after their
# current value is set to 1 for equal weighting.
inflsum = getdata_fred(inflations[0])
inflsum = inflsum / float(tools.tailvalue(inflsum))
for i in inflations[1:]:
infl = getdata_fred(i)
infl = infl / float(tools.tailvalue(infl))
inflsum += infl
return inflsum / len(inflations)
def getinflations(inflations=ml_infl):
'''Normalize and average all inflation measures.'''
# We will take the average of indexes after their
# current value is set to 1 for equal weighting.
inflsum = getdata_fred(inflations[0])
inflsum = inflsum / float(tools.tailvalue(inflsum))
for i in inflations[1:]:
infl = getdata_fred(i)
infl = infl / float(tools.tailvalue(infl))
inflsum += infl
return inflsum / len(inflations)
def getm4infleu():
"""Normalize and average Eurozone Consumer Prices."""
# FRED carries only NSA data from Eurostat,
# so we shall use Holt-Winters levels.
cpiall = getdata_fred("CP0000EZ17M086NEST")
# ^for 17 countries.
holtall = ts.holtlevel(cpiall)
normall = holtall / float(tools.tailvalue(holtall))
return normall
def getdeflator(inflation=m4infl):
"""Construct a de-inflation dataframe suitable as multiplier."""
# Usually we encounter numbers which have been deflated to dollars
# of some arbitrary year (where the value is probably 100).
# Here we set the present to 1, while past values have increasing
# multiplicative "returns" which will yield current dollars.
infl = getfred(inflation)
lastin = tools.tailvalue(infl)
return float(lastin) / infl
def getm4infleu():
'''Normalize and average Eurozone Consumer Prices.'''
# FRED carries only NSA data from Eurostat,
# so we shall use Holt-Winters levels.
cpiall = getdata_fred('CP0000EZ17M086NEST')
# ^for 17 countries.
holtall = ts.holtlevel(cpiall)
normall = holtall / float(tools.tailvalue(holtall))
return normall
def getdeflator(inflation=m4infl):
'''Construct a de-inflation dataframe suitable as multiplier.'''
# Usually we encounter numbers which have been deflated to dollars
# of some arbitrary year (where the value is probably 100).
# Here we set the present to 1, while past values have increasing
# multiplicative "returns" which will yield current dollars.
infl = getfred(inflation)
lastin = tools.tailvalue(infl)
return float(lastin) / infl