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Dec 8th, 2016
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  1. date = df.reviewTime
  2. date = pd.to_datetime(date)
  3. timeseries = pd.DataFrame({'x': date, 'y' : lens})
  4. timeseries
  5. timeseriesproc = pd.DataFrame({'x': date, 'y' : lens})
  6. timeseriessortbydate = timeseries.sort_values('x')
  7. timeseriessortbydate[3481:4532]
  8. wordnum = timeseriessortbydate.y
  9. print wordnum[3481:4532]
  10. average = wordnum[3481:4532].sum()/wordnum[3481:4532].size
  11. average
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