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- #df1
- value Symbol Date Type Value
- 1109914 AUD 2016-01-29 value 64587.9121
- 1109949 CAD 2016-01-29 value 65357.1429
- 1109970 CHF 2016-01-29 value 111881.8681
- 1110012 DX 2016-01-29 value 91256.4103
- #df2
- volas Symbol Date Type Value
- 1109915 AUD 2016-01-29 vola 518.5091
- 1109950 CAD 2016-01-29 vola 360.9474
- 1109971 CHF 2016-01-29 vola 767.1880
- 1110013 DX 2016-01-29 vola 495.8913
- 1110041 EUR 2016-01-29 vola 876.6861
- 1110062 GBP 2016-01-29 vola 462.6425
- df1["volas"] = df2["Value"]
- 1109921 NaN
- 1110089 NaN
- 1110138 NaN
- 1110159 NaN
- 1110257 NaN
- 1110450 NaN
- 1110618 NaN
- 1110667 NaN
- 1110688 NaN
- market_values['Volas'] = [i for i in market_volas.Value]
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