malariagen_data.af1.Af1.plot_h1x_gwss#
- Af1.plot_h1x_gwss(contig: str, window_size: int, cohort1_query: str, cohort2_query: str, sample_query_options: dict | None = None, analysis: str = 'default', sample_sets: Sequence[str] | str | None = None, cohort_size: int | None = None, min_cohort_size: int | None = 15, max_cohort_size: int | None = 50, random_seed: int = 42, title: str | bool | None = None, sizing_mode: Literal['fixed', 'stretch_width', 'stretch_height', 'stretch_both', 'scale_width', 'scale_height', 'scale_both'] = 'stretch_width', width: int | None = None, track_height: int = 190, contig_colors: list[str] = ['#393b79', '#5254a3', '#6b6ecf', '#9c9ede', '#637939'], genes_height: int = 90, show: bool = True, output_backend: Literal['canvas', 'webgl', 'svg'] = 'webgl', chunks: int | str | Tuple[int | str, ...] | Callable[[Tuple[int, ...]], int | str | Tuple[int | str, ...]] = 'native', inline_array: bool = True) Model | None #
Run and plot a H1X genome-wide scan to detect genome regions with shared selective sweeps between two cohorts.
Parameters#
- contigstr
Reference genome contig name. See the contigs property for valid contig names.
- window_sizeint
The size of windows (number of SNPs) used to calculate statistics within.
- cohort1_querystr
A pandas query string to be evaluated against the sample metadata, to select samples for the first cohort.
- cohort2_querystr
A pandas query string to be evaluated against the sample metadata, to select samples for the second cohort.
- 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.
- analysisstr, optional, default: ‘default’
Which haplotype phasing analysis to use. See the phasing_analysis_ids property for available values.
- 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.
- cohort_sizeint or None, optional
Randomly down-sample to this value if the number of samples in the cohort is greater. Raise an error if the number of samples is less than this value.
- min_cohort_sizeint or None, optional, default: 15
Minimum cohort size. Raise an error if the number of samples is less than this value.
- max_cohort_sizeint or None, optional, default: 50
Randomly down-sample to this value if the number of samples in the cohort is greater.
- random_seedint, optional, default: 42
Random seed used for reproducible down-sampling.
- titlestr or bool or None, optional
Plot title. If True, a title may be automatically generated.
- sizing_mode{‘fixed’, ‘stretch_width’, ‘stretch_height’, ‘stretch_both’, ‘scale_width’, ‘scale_height’, ‘scale_both’}, optional, default: ‘stretch_width’
Bokeh plot sizing mode, see also https://docs.bokeh.org/en/latest/docs /user_guide/basic/layouts.html#sizing-modes.
- widthint or None, optional
Plot width in pixels (px).
- track_heightint, optional, default: 190
Main track height in pixels (px).
- contig_colorslist of str, optional, default: [‘#393b79’, ‘#5254a3’, ‘#6b6ecf’, ‘#9c9ede’, ‘#637939’]
A sequence of colors.
- genes_heightint, optional, default: 90
Genes track height in pixels (px).
- showbool, optional, default: True
If true, show the plot. If False, do not show the plot, but return the figure.
- output_backend{‘canvas’, ‘webgl’, ‘svg’}, optional, default: ‘webgl’
Specify an output backend to render a plot area onto. See also https://docs.bokeh.org/en/latest/docs/user_guide/output/webgl.html.
- chunksint or str or tuple of int or str or Callable[[typing.Tuple[int, …]], int or str or tuple of int or str], optional, default: ‘native’
Define how input data being read from zarr should be divided into chunks for a dask computation. If ‘native’, use underlying zarr chunks. If a string specifying a target memory size, e.g., ‘300 MiB’, resize chunks in arrays with more than one dimension to match this size. If ‘auto’, let dask decide chunk size. If ‘ndauto’, let dask decide chunk size but only for arrays with more than one dimension. If ‘ndauto0’, as ‘ndauto’ but only vary the first chunk dimension. If ‘ndauto1’, as ‘ndauto’ but only vary the second chunk dimension. If ‘ndauto01’, as ‘ndauto’ but only vary the first and second chunk dimensions. Also, can be a tuple of integers, or a callable which accepts the native chunks as a single argument and returns a valid dask chunks value.
- inline_arraybool, optional, default: True
Passed through to dask from_array().
Returns#
- Model or None
A bokeh figure (only returned if show=False).