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.
--use-cache DIRECTORY Specify the cache to be used for the intermediate
work of this action. If not provided, the default
cache under $TMP/qiime2/ will be used.
IMPORTANT FOR HPC USERS: If you are on an HPC system
and are using parallel execution it is important to
set this to a location that is globally accessible to
all nodes in the cluster.
--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.
