clarite.plot.top_results

clarite.plot.top_results(ewas_result: pandas.core.frame.DataFrame, pvalue_name: str = 'pvalue', cutoff: float = 0.05, num_rows: int = 20, filename: Union[str, NoneType] = None)

Create a dotplot for EWAS Results showing pvalues and beta coefficients

Parameters:

ewas_result: DataFrame

EWAS Result to plot

pvalue_name: str

‘pvalue’, ‘pvalue_fdr’, or ‘pvalue_bonferroni’

cutoff: float (default 0.05)

A vertical line is drawn in the pvalue column to show a significance cutoff

num_rows: int (default 20)

How many rows to show in the plot

filename: Optional str

If provided, a copy of the plot will be saved to the specified file

Returns:

None

Examples

>>> clarite.plot.top_results(ewas_result)