skbio.metadata.SampleMetadata.to_dataframe

SampleMetadata.to_dataframe(encode_missing=False)

Create a pandas dataframe from the metadata.

The dataframe’s index name (Index.name) will match this metadata object’s id_header, and the index will contain this metadata object’s IDs. The dataframe’s column names will match the column names in this metadata. Categorical columns will be stored as dtype=object (containing strings), and numeric columns will be stored as dtype=float.

Parameters:

encode_missingbool, optional

Whether to convert missing values (NaNs) back into their original vocabulary (strings) if a missing scheme was used.

Returns:

pandas.DataFrame

Dataframe constructed from the metadata.