skbio.metadata.NumericMetadataColumn

class skbio.metadata.NumericMetadataColumn(series, missing_scheme='blank')

A single metadata column containing numeric data.

See the Metadata class docstring for details about Metadata and MetadataColumn objects, including a description of column types and supported data formats.

Attributes

type

Attributes (inherited)

id_count	Number of metadata IDs.
id_header	Name identifying the IDs associated with the metadata.
ids	IDs associated with the metadata.
missing_scheme	Return the vocabulary used to encode missing values.
name	Metadata column name.

Methods (inherited)

drop_missing_values	Filter out missing values from the metadata column.
filter_ids	Filter metadata column by IDs.
get_ids	Retrieve IDs matching search criteria.
get_missing	Return a series containing only missing values (with an index).
get_value	Retrieve metadata column value associated with an ID.
has_missing_values	Determine if the metadata column has one or more missing values.
read	Create a new NumericMetadataColumn instance from a file.
save	Save a TSV metadata file.
to_dataframe	Create a pandas dataframe from the metadata column.
to_series	Create a pandas series from the metadata column.
write	Write an instance of NumericMetadataColumn to a file.

Special methods (inherited)

__eq__	Determine if this metadata column is equal to another.
__ge__	Return self>=value.
__getstate__	Helper for pickle.
__gt__	Return self>value.
__le__	Return self<=value.
__lt__	Return self<value.
__ne__	Determine if this metadata column is not equal to another.
__str__	Return str(self).

Details

type = 'numeric'