Third-party Python package module — seaborn. Auto-indexed from CDN. Method-level security roles have not been annotated; rule writers should inspect the source before use.
.algorithms.bootstrap()Neutralalgorithms.bootstrap(*args, n_boot, func, axis, units, seed)
algorithms.bootstrap function.
.axisgrid.jointplot()Neutralaxisgrid.jointplot(data, x, y, hue, kind, height, ratio, space, dropna, xlim, ylim, color, palette, hue_order, hue_norm, marginal_ticks, joint_kws, marginal_kws, **kwargs)
axisgrid.jointplot function.
.axisgrid.pairplot()Neutralaxisgrid.pairplot(data, hue, hue_order, palette, vars, x_vars, y_vars, kind, diag_kind, markers, height, aspect, corner, dropna, plot_kws, diag_kws, grid_kws, size)
axisgrid.pairplot function.
.categorical.barplot()Neutralcategorical.barplot(data, x, y, hue, order, hue_order, estimator, errorbar, n_boot, units, weights, seed, orient, color, palette, saturation, fill, hue_norm, width, dodge, gap, log_scale, native_scale, formatter, legend, capsize, err_kws, ci, errcolor, errwidth, ax, **kwargs)
categorical.barplot function.
.categorical.boxenplot()Neutralcategorical.boxenplot(data, x, y, hue, order, hue_order, orient, color, palette, saturation, fill, dodge, width, gap, linewidth, linecolor, width_method, k_depth, outlier_prop, trust_alpha, showfliers, hue_norm, log_scale, native_scale, formatter, legend, scale, box_kws, flier_kws, line_kws, ax, **kwargs)
categorical.boxenplot function.
.categorical.boxplot()Neutralcategorical.boxplot(data, x, y, hue, order, hue_order, orient, color, palette, saturation, fill, dodge, width, gap, whis, linecolor, linewidth, fliersize, hue_norm, native_scale, log_scale, formatter, legend, ax, **kwargs)
categorical.boxplot function.
.categorical.catplot()Neutralcategorical.catplot(data, x, y, hue, row, col, kind, estimator, errorbar, n_boot, units, weights, seed, order, hue_order, row_order, col_order, col_wrap, height, aspect, log_scale, native_scale, formatter, orient, color, palette, hue_norm, legend, legend_out, sharex, sharey, margin_titles, facet_kws, ci, **kwargs)
categorical.catplot function.
.categorical.countplot()Neutralcategorical.countplot(data, x, y, hue, order, hue_order, orient, color, palette, saturation, fill, hue_norm, stat, width, dodge, gap, log_scale, native_scale, formatter, legend, ax, **kwargs)
categorical.countplot function.
.categorical.pointplot()Neutralcategorical.pointplot(data, x, y, hue, order, hue_order, estimator, errorbar, n_boot, units, weights, seed, color, palette, hue_norm, markers, linestyles, dodge, log_scale, native_scale, orient, capsize, formatter, legend, err_kws, ci, errwidth, join, scale, ax, **kwargs)
categorical.pointplot function.
.categorical.stripplot()Neutralcategorical.stripplot(data, x, y, hue, order, hue_order, jitter, dodge, orient, color, palette, size, edgecolor, linewidth, hue_norm, log_scale, native_scale, formatter, legend, ax, **kwargs)
categorical.stripplot function.
| FQN | Field | |
|---|---|---|
| seaborn | fqns[0] |
Wrong FQN → 0 findings. Verify with: change fqns to garbage → must produce 0 results.
import seaborn