pvtend.plotting.bootstrap_sig

pvtend.plotting.bootstrap_sig(events: list[dict], var_spec: str | list[str] | Callable, level: str | int = 'wavg', *, n_boot: int = 1000, alpha: float = 0.05, seed: int = 42) → tuple[ndarray, ndarray][source]

Composite mean + bootstrap significance mask.

Parameters:

  • events – List of event dicts.

  • var_spec – Field specification (str, list[str], or callable).

  • level – "wavg" or int hPa.

  • n_boot – Number of bootstrap resamples.

  • alpha – Significance level.

  • seed – Random seed.

Returns:

(mean_2d, sig_mask) — sig_mask is True where the bootstrap CI excludes zero.