trevismd

for result, corrected_result in zip(results, corrected_results):
    print(f"{result.pvalue:.2e} => {corrected_result.pvalue:.2e}")

trevismd

hue_plot_params = {**hue_plot_params, 
                   'x':  'Goal','y': 'State',
                   'dodge': True, 'orient': 'h'}

with sns.plotting_context("notebook", font_scale=1.4):
    # Create new plot
    ax = get_log_ax('h')

    # Plot with seaborn
    ax = sns.barplot(ax=ax, **hue_plot_params)

trevismd

with sns.plotting_context("notebook", font_scale = 1.4):
    # Create new plot
    ax = get_log_ax()

    # Plot with seaborn
    ax = sns.boxplot(ax=ax, **hue_plot_params)

    # Add annotations
    annotator = Annotator(ax, pairs, **hue_plot_params)
    annotator.configure(test="Mann-Whitney", comparisons_correction="bonferroni")

trevismd

pairs =(
    [('Successful', 'Robots'), ('Successful', 'Flight')],
    [('Successful', 'Flight'), ('Successful', 'Sound')],
    [('Successful', 'Robots'), ('Successful', 'Sound')],

    [('Failed', 'Robots'), ('Failed', 'Flight')],
    [('Failed', 'Flight'), ('Failed', 'Sound')],
    [('Failed', 'Robots'), ('Failed', 'Sound')],

    [('Live', 'Robots'), ('Live', 'Flight')],

trevismd

# Switching hue and x
hue_plot_params = {
    'data':      rfs,
    'x':         'State',
    'y':         'Goal',
    "order":     states_order,
    "hue":       "Subcategory",
    "hue_order": subcat_order,
    "palette":   subcat_palette
}

trevismd

hue_plot_params = {
    'data': rfs,
    'x': 'Subcategory',
    'y': 'Goal',
    "order": subcat_order,
    "hue": "State",
    "hue_order": states_order,
    "palette": state_palette
}

trevismd

pairs = [
    [('Robots', 'Successful'), ('Robots', 'Failed')],
    [('Flight', 'Successful'), ('Flight', 'Failed')],
    [('Sound', 'Successful'), ('Sound', 'Failed')],

    [('Robots', 'Successful'), ('Robots', 'Live')],
    [('Flight', 'Successful'), ('Flight', 'Live')],
    [('Sound', 'Successful'), ('Sound', 'Live')],

    [('Robots', 'Failed'), ('Robots', 'Live')],

trevismd

with sns.plotting_context('notebook', font_scale = 1.4):
    # Create new plot
    ax = get_log_ax()

    # Plot with seaborn
    ax = sns.boxplot(ax=ax,
                     data=rfs,
                     x='Subcategory', y='Goal',
                     order=subcat_order,
                     hue="State",

trevismd

pairs = [
    ("Successful", "Failed"),
    ("Successful", "Live"),
    ("Failed", "Live"),
    ("Canceled", "Successful"),
    ("Canceled", "Failed"),
    ("Canceled", "Live")
]

state_plot_params = {

trevismd

# Add annotations
annotator.new_plot(ax, **plotting_parameters)
annotator.configure(text_format="full", verbose=False).apply_and_annotate()