# core-features: Identify core features in tableΒΆ

#### Docstring:

Usage: qiime feature-table core-features [OPTIONS] Identify "core" features, which are features observed in a user-defined fraction of the samples. Since the core features are a function of the fraction of samples that the feature must be observed in to be considered core, this is computed over a range of fractions defined by the `min_fraction`, `max_fraction`, and `steps` parameters. Inputs: --i-table ARTIFACT FeatureTable[Frequency] The feature table to use in core features calculations. [required] Parameters: --p-min-fraction PROPORTION Range(0.0, 1.0, inclusive_start=False) The minimum fraction of samples that a feature must be observed in for that feature to be considered a core feature. [default: 0.5] --p-max-fraction PROPORTION Range(0.0, 1.0, inclusive_end=True) The maximum fraction of samples that a feature must be observed in for that feature to be considered a core feature. [default: 1.0] --p-steps INTEGER The number of steps to take between `min-fraction` and Range(2, None) `max-fraction` for core features calculations. This parameter has no effect if `min-fraction` and `max-fraction` are the same value. [default: 11] Outputs: --o-visualization VISUALIZATION [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.

#### Import:

```
from qiime2.plugins.feature_table.visualizers import core_features
```

#### Docstring:

Identify core features in table Identify "core" features, which are features observed in a user-defined fraction of the samples. Since the core features are a function of the fraction of samples that the feature must be observed in to be considered core, this is computed over a range of fractions defined by the `min_fraction`, `max_fraction`, and `steps` parameters. Parameters ---------- table : FeatureTable[Frequency] The feature table to use in core features calculations. min_fraction : Float % Range(0.0, 1.0, inclusive_start=False), optional The minimum fraction of samples that a feature must be observed in for that feature to be considered a core feature. max_fraction : Float % Range(0.0, 1.0, inclusive_end=True), optional The maximum fraction of samples that a feature must be observed in for that feature to be considered a core feature. steps : Int % Range(2, None), optional The number of steps to take between `min_fraction` and `max_fraction` for core features calculations. This parameter has no effect if `min_fraction` and `max_fraction` are the same value. Returns ------- visualization : Visualization