malariagen_data.af1.Af1.count_samples#
- Af1.count_samples(sample_sets: Sequence[str] | str | None = None, sample_query: str | None = None, sample_query_options: dict | None = None, index: str | Sequence[str] = ('country', 'admin1_iso', 'admin1_name', 'admin2_name', 'year'), columns: str | Sequence[str] = 'taxon') DataFrame #
Create a pivot table showing numbers of samples available by space, time and taxon.
Parameters#
- sample_setssequence of str or str or None, optional
List of sample sets and/or releases. Can also be a single sample set or release.
- sample_querystr or None, optional
A pandas query string to be evaluated against the sample metadata, to select samples to be included in the returned data.
- sample_query_optionsdict or None, optional
A dictionary of arguments that will be passed through to pandas query() or eval(), e.g. parser, engine, local_dict, global_dict, resolvers.
- indexstr or sequence of str, optional, default: (‘country’, ‘admin1_iso’, ‘admin1_name’, ‘admin2_name’, ‘year’)
Sample metadata columns to use for the pivot table index.
- columnsstr or sequence of str, optional, default: ‘taxon’
Sample metadata columns to use for the pivot table columns.
Returns#
- DataFrame
Pivot table of sample counts.