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# skbio.diversity.alpha.heip_e

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

  Calculate Heip’s evenness measure.

  State: Experimental as of 0.4.0.

  Heip’s evenness is defined as:

  \[\frac{(e^H-1)}{(S-1)}\]

  where \(H\) is the Shannon-Wiener entropy of counts (using logarithm base \(e\)) and \(S\) is the number of OTUs in the sample.

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

  See also

  `shannon()`, `pielou_e()`

  Notes

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

  References

  [1] | Heip, C. 1974. A new index measuring evenness. J. Mar. Biol. Ass. UK., 54, 555-557.