Notebook
In [3]:
from quantopian.interactive.data.quandl import yahoo_index_vix as vix
vix[['asof_date', 'timestamp', 'close']].sort('asof_date', ascending=True)
Out[3]:
asof_date timestamp close
0 1990-01-02 1990-01-03 08:15:50.135844 17.240000
1 1990-01-03 1990-01-04 08:15:50.135844 18.190001
2 1990-01-04 1990-01-05 08:15:50.135844 19.219999
3 1990-01-05 1990-01-06 08:15:50.135844 20.110001
4 1990-01-08 1990-01-09 08:15:50.135844 20.260000
5 1990-01-09 1990-01-10 08:15:50.135844 22.200001
6 1990-01-10 1990-01-11 08:15:50.135844 22.440001
7 1990-01-11 1990-01-12 08:15:50.135844 20.049999
8 1990-01-12 1990-01-13 08:15:50.135844 24.639999
9 1990-01-15 1990-01-16 08:15:50.135844 26.340000
10 1990-01-16 1990-01-17 08:15:50.135844 24.180000
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