limix.plot.qqplot¶

limix.plot.qqplot(a, label=None, alpha=0.05, cutoff=0.1, line=True, pts_kws=None, band_kws=None, ax=None, show_lambda=True)¶

Quantile-Quantile plot of observed p-values versus theoretical ones.

Parameters:	a (Series, 1d-array, list) – Observed p-values. label (string, optional) – Legend label for the relevent component of the plot. alpha (float, optional) – Significance level defining the confidfence interval. Set to `None` to disable plotting. Defaults to `0.05`. cutoff (float, optional) – P-values higher than cutoff will not be plotted. Defaults to `0.1`. line (bool, optional) – Whether or not plot a straight line. Defaults to `True`. pts_kws (dict, optional) – Keyword arguments forwarded to the matplotlib function used for plotting the points. band_kws (dict, optional) – Keyword arguments forwarded to the fill_between function used for plotting the confidence band. ax (matplotlib Axes, optional) – The target handle for this figure. If `None`, the current axes is set.
Returns:	ax – Axes object with the plot for further tweaking.
Return type:	matplotlib Axes

Examples