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# skbio.diversity.alpha.simpson_e

`skbio.diversity.alpha.``simpson_e`(counts)

  Calculate Simpson’s evenness measure E.

  State: Experimental as of 0.4.0.

  Simpson’s E is defined as

  \[E=\frac{1 / D}{S_{obs}}\]

  where \(D\) is dominance and \(S_{obs}\) is the number of observed OTUs.

  Parameters: | counts (1-D array_like, int) – Vector of counts.
  Returns: | Simpson’s evenness measure E.
  Return type: | double

  See also

  `dominance()`, `enspie()`, `simpson()`

  Notes

  The implementation here is based on the description given in [1].

  References

  [1] | http://www.tiem.utk.edu/~gross/bioed/bealsmodules/simpsonDI.html