quantopian / zipline / 3045

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travis-ci

PERF: Reduce memory usage during risk metric calculations.

For beta calculation:

Remove `.dropna` , since it was creating a new
Series and Index which inflated memory usage as algorithm run time
progressed.

For downside risk calculations:

Instead of using pd.Series calculations, pass the underlying
numpy array which have already been sliced to the exact dt, so that the
call to `round` does not create a new Series.

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