localuf.plot.accuracy

Plot failure probability to deduce accuracy thresholds.

Available functions:

  • monte_carlo

  • subset_sample

Functions

monte_carlo(data[, title, xlabel, ylabel, ...])

Plot threshold data in data.

subset_sample(data[, legend, alpha, title])

Plot failure probability from output of get_failure_data_from_subset_sample.
localuf.plot.accuracy.monte_carlo(data, title='', xlabel=None, ylabel=None, legend=None, alpha=np.float64(0.31731050786291415), method='wilson', base_color=None, capsize=2, **kwargs_for_errorbar)[source]

Plot threshold data in data.

Parameters:

  • data (DataFrame) – a DataFrame where each column is a (distance, probability); rows m, n indicate number of logical errors and samples, respectively.

  • title (str) – plot title.

  • xlabel (None | str) – x-axis label.

  • ylabel (None | str) – y-axis label.

  • legend (None | bool) – whether to show legend.

  • alpha (float) – significance level of confidence intervals.

  • method (str) – method to compute confidence intervals. For details on confidence intervals, see https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportion_confint.html.

  • base_color (None | tuple[float, float, float] | str) – a single color for all errorbars and their connecting lines. Increasing distance is then shown by increasing opacity. If None, each distance is shown by a different, fully opaque color.

  • capsize (float) – length of error bar caps in points.

  • kwargs_for_errorbar – passed to pyplot.errorbar.

Return plotted:

Transposed data with additional columns f, lo, hi storing respectively the mean, lower and upper confidence bounds of failure probability.

Return containers:

A dictionary where each key is a distance; value, the ErrorbarContainer for that distance.

localuf.plot.accuracy.subset_sample(data, legend=True, alpha=0.3, title='')[source]

Plot failure probability from output of get_failure_data_from_subset_sample.

Parameters:

  • data (DataFrame) – output of get_failure_data_from_subset_sample.

  • legend (bool) – whether to show legend.

  • alpha (float) – transparency of confidence region.

  • title (str) – plot title.