aerosandbox.tools.pretty_plots.plots.plot_with_bootstrapped_uncertainty#

Module Contents#

Functions#

plot_with_bootstrapped_uncertainty(x, y[, ci, ...])

Attributes#

x

aerosandbox.tools.pretty_plots.plots.plot_with_bootstrapped_uncertainty.plot_with_bootstrapped_uncertainty(x, y, ci=0.95, x_stdev=0.0, y_stdev=None, color=None, draw_data=True, label_line='Best Estimate', label_ci=True, label_data='Raw Data', line_alpha=0.9, ci_to_alpha_mapping=lambda ci: ..., n_bootstraps=2000, n_fit_points=500, spline_degree=3, normalize=True, x_log_scale=False, y_log_scale=False)[source]#
Parameters:

  • x (numpy.ndarray) –

  • y (numpy.ndarray) –

  • ci (Optional[Union[float, Iterable[float], numpy.ndarray]]) –

  • x_stdev (Union[None, float]) –

  • y_stdev (Union[None, float]) –

  • color (Optional[Union[str, Tuple[float]]]) –

  • draw_data (bool) –

  • label_line (Union[bool, str]) –

  • label_ci (bool) –

  • label_data (Union[bool, str]) –

  • line_alpha (float) –

  • ci_to_alpha_mapping (Callable[[float], float]) –

  • normalize (bool) –

  • x_log_scale (bool) –

  • y_log_scale (bool) –

aerosandbox.tools.pretty_plots.plots.plot_with_bootstrapped_uncertainty.x[source]#