skbio.table.Table.to_dataframe#
- Table.to_dataframe(dense=False)[source]#
Convert matrix data to a Pandas SparseDataFrame or DataFrame
- Parameters:
- densebool, optional
If True, return pd.DataFrame instead of pd.SparseDataFrame.
- Returns:
- pd.DataFrame or pd.SparseDataFrame
A DataFrame indexed on the observation IDs, with the column names as the sample IDs.
Notes
Metadata are not included.
Examples
>>> from biom import example_table >>> df = example_table.to_dataframe() >>> df S1 S2 S3 O1 0.0 1.0 2.0 O2 3.0 4.0 5.0