from quantopian.interactive.data.quandl import fred_gdp as dataset
from quantopian.interactive.data.quandl import fred_gdp_deltas as datasetd
#initial value GDP
dataset[(dataset.asof_date == '2015-10-01')]
#updated records GDP (18287.226 from datareader) Timestamp is the datetime we noticed the change
datasetd[(datasetd.asof_date == '2015-10-01')]
from quantopian.interactive.data.quandl import fred_retailsmnsa_deltas as datasetd
from quantopian.interactive.data.quandl import fred_retailsmnsa as dataset
#initial value
dataset[(dataset.asof_date == '2015-09-01')]
#updated records REATAILSMNSA (382242 from datareader)
datasetd[(datasetd.asof_date == '2015-09-01')]
results from DataReader
import pandas_datareader.data as web
import datetime
my_data = web.DataReader(['GDP','RETAILSMNSA'], 'fred', datetime.datetime(2015, 9, 1) , datetime.datetime(2015, 10, 2))
my_data
DATE GDP RETAILSMNSA
2015-09-01 NaN 382242
2015-10-01 18287.226 392786
These match the last timestamp in the deltas tables above