Docstring:
Usage: qiime diversity-lib observed-features [OPTIONS]
Compute the number of observed features for each sample in a feature table
Inputs:
--i-table ARTIFACT FeatureTable[Frequency | RelativeFrequency |
PresenceAbsence] The feature table containing the samples for which the
number of observed features should be calculated. Table
values will be converted to presence/absence.
[required]
Outputs:
--o-vector ARTIFACT SampleData[AlphaDiversity]
Vector containing per-sample counts of observed
features. [required]
Miscellaneous:
--output-dir PATH Output unspecified results to a directory
--verbose / --quiet Display verbose output to stdout and/or stderr during
execution of this action. Or silence output if
execution is successful (silence is golden).
--example-data PATH Write example data and exit.
--citations Show citations and exit.
--help Show this message and exit.
Examples:
# ### example: basic
qiime diversity-lib observed-features \
--i-table feature-table.qza \
--o-vector obs-feat-vector.qza
Import:
from qiime2.plugins.diversity_lib.methods import observed_features
Docstring:
Observed Features
Compute the number of observed features for each sample in a feature table
Parameters
----------
table : FeatureTable[Frequency | RelativeFrequency | PresenceAbsence]
The feature table containing the samples for which the number of
observed features should be calculated. Table values will be converted
to presence/absence.
Returns
-------
vector : SampleData[AlphaDiversity]
Vector containing per-sample counts of observed features.
