Panel Demo

/home/docs/checkouts/readthedocs.org/user_builds/mpl-visual-context/envs/0.9.2/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead
  if pd.api.types.is_categorical_dtype(vector):
/home/docs/checkouts/readthedocs.org/user_builds/mpl-visual-context/envs/0.9.2/lib/python3.10/site-packages/seaborn/categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  grouped_vals = vals.groupby(grouper)

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import seaborn as sns

sns.set_theme()

tips = sns.load_dataset("tips")

fig, ax = plt.subplots(1, 1, num=1, clear=True)

# Draw a nested violinplot and split the violins for easier comparison
sns.violinplot(
    data=tips,
    x="day",
    y="total_bill",
    hue="smoker",
    split=True,
    inner="quart",
    linewidth=1,
    palette={"Yes": "b", "No": ".85"},
    ax=ax,
)

from mpl_visual_context.axes_panel import InsetDivider, AxesDivider
from mpl_visual_context.axes_panel import add_panel

divider = InsetDivider(ax)

panels = {
    "y-ticklabels": add_panel(divider, "left", "ticklabels", pad=0.0),
    "y-label": add_panel(divider, "left", "label", pad=0.0),
    "x-ticklabels": add_panel(divider, "bottom", "ticklabels", pad=0.0),
    "x-label": add_panel(divider, "bottom", "label", pad=0.0),
}

legend_panel = add_panel(divider, "top", "empty", pad=0.0)

from mpl_visual_context.legend_helper import (
    extract_offset_boxes_from_legend,
    set_max_length,
)
from matplotlib.offsetbox import HPacker

leg_title, oblist = extract_offset_boxes_from_legend(ax.legend_)
set_max_length(oblist)

pack = HPacker(pad=0.0, sep=10, children=[leg_title] + oblist)

from matplotlib.offsetbox import AnchoredOffsetbox

box = AnchoredOffsetbox("right", child=pack, pad=0, frameon=False)
legend_panel.add_artist(box)
legend_panel.add_to_extent_list(box)

ax.legend_.remove()

import warnings

with warnings.catch_warnings():
    warnings.filterwarnings('ignore', r'This figure includes Axes')
    plt.tight_layout()

plt.show()