Fat content in cooking oils

This example shows how to apply cross-layout on statistical plots.

import marsilea as ma
import marsilea.plotter as mp

import mpl_fontkit as fk

fk.install_fontawesome(verbose=False)
fk.install("Lato", verbose=False)

Load data

oils = ma.load_data("cooking_oils")

red = "#cd442a"
yellow = "#f0bd00"
green = "#7e9437"
gray = "#eee"

mapper = {0: "\uf58a", 1: "\uf11a", 2: "\uf567"}
cmapper = {0: "#609966", 1: "#DC8449", 2: "#F16767"}
flavour = [mapper[i] for i in oils["flavour"].values]
flavour_colors = [cmapper[i] for i in oils["flavour"].values]
fat_content = oils[
    ["saturated", "polyunsaturated (omega 3 & 6)", "monounsaturated", "other fat"]
]

Visualize the oil contents

fat_stack_bar = mp.StackBar(
    fat_content.T * 100,
    colors=[red, yellow, green, gray],
    width=0.8,
    orient="h",
    label="Fat Content (%)",
    legend_kws={"ncol": 2, "fontsize": 10},
)
fmt = lambda x: f"{x:.1f}" if x > 0 else ""
trans_fat_bar = mp.Numbers(
    oils["trans fat"] * 100,
    fmt=fmt,
    color="#3A98B9",
    label="Trans Fat (%)",
)

flavour_emoji = mp.Labels(
    flavour, fontfamily="Font Awesome 6 Free", text_props={"color": flavour_colors}
)

oil_names = mp.Labels(oils.index.str.capitalize())

fmt = lambda x: f"{int(x)}" if x > 0 else ""

omege_bar = ma.plotter.CenterBar(
    (oils[["omega 3", "omega 6"]] * 100).astype(int),
    names=["Omega 3 (%)", "Omega 6 (%)"],
    colors=["#7DB9B6", "#F5E9CF"],
    fmt=fmt,
    show_value=True,
)
conditions_text = [
    "Control",
    ">230 °C\nDeep-frying",
    "200-229 °C\nStir-frying",
    "150-199 °C\nLight saute",
    "<150 °C\nDressings",
]
colors = ["#e5e7eb", "#c2410c", "#fb923c", "#fca5a5", "#fecaca"]
conditions = ma.plotter.Chunk(conditions_text, colors, rotation=0, padding=10)

cb = ma.ClusterBoard(fat_content.to_numpy(), height=10)
cb.add_layer(fat_stack_bar)
cb.add_left(trans_fat_bar, pad=0.2, name="trans fat")
cb.add_right(flavour_emoji)
cb.add_right(oil_names, pad=0.1)
cb.add_right(omege_bar, size=2, pad=0.2)

order = [
    "Control",
    ">230 °C (Deep-frying)",
    "200-229 °C (Stir-frying)",
    "150-199 °C (Light saute)",
    "<150 °C (Dressings)",
]
cb.group_rows(oils["cooking conditions"], order=order)
cb.add_left(conditions, pad=0.1)
cb.add_dendrogram(
    "left", add_meta=False, colors=colors, linewidth=1.5, size=0.5, pad=0.02
)
cb.add_title(top="Fat in Cooking Oils", fontsize=16)
cb.add_legends("bottom", pad=0.3)
cb.render()

axes = cb.get_ax("trans fat")
for ax in axes:
    ax.set_xlim(4.2, 0)