metric (str, callable) – The alpha diversity metric to apply to the sample(s). Passing metric as
a string is preferable as this often results in an optimized version of
the metric being used.
counts (1D or 2D array_like of ints or floats) – Vector or matrix containing count/abundance data. If a matrix, each row
should contain counts of OTUs in a given sample.
ids (iterable of strs, optional) – Identifiers for each sample in counts. By default, samples will be
assigned integer identifiers in the order that they were provided.
validate (bool, optional) – If False, validation of the input won’t be performed. This step can
be slow, so if validation is run elsewhere it can be disabled here.
However, invalid input data can lead to invalid results or error
messages that are hard to interpret, so this step should not be
bypassed if you’re not certain that your input data are valid. See
skbio.diversity for the description of what validation entails
so you can determine if you can safely disable validation.