Horizontal Bar Charts

Rotate to horizontal bars, ranking views, and long labels that would otherwise collide.

import matplotlib.pyplot as plt
import numpy as np

import dartwork_mpl as dm

# Apply scientific style preset
dm.style.use("scientific")

# Sample data
categories = [
    "Category A",
    "Category B",
    "Category C",
    "Category D",
    "Category E",
]
values1 = np.array([23, 45, 56, 33, 41])
values2 = np.array([17, 35, 42, 28, 38])
values3 = np.array([12, 25, 30, 20, 27])

# Create figure
# Double column figure: 17cm width, 2x2 layout
fig = plt.figure(figsize=(dm.cm2in(16), dm.cm2in(12)), dpi=300)

# Create GridSpec for 2x2 subplots
gs = fig.add_gridspec(
    nrows=2,
    ncols=2,
    left=0.15,
    right=0.98,
    top=0.95,
    bottom=0.08,
    wspace=0.3,
    hspace=0.4,
)

# Panel A: Basic horizontal bar
ax1 = fig.add_subplot(gs[0, 0])
y_pos = np.arange(len(categories))
ax1.barh(
    y_pos,
    values1,
    color="oc.blue5",
    alpha=0.7,
    edgecolor="oc.blue7",
    linewidth=0.3,
)
ax1.set_yticks(y_pos)
ax1.set_yticklabels(categories, fontsize=dm.fs(-1))
ax1.set_xlabel("Value", fontsize=dm.fs(0))
ax1.set_title("Basic Horizontal Bar", fontsize=dm.fs(1))
ax1.set_xticks([0, 20, 40, 60])

# Panel B: Sorted horizontal bar
ax2 = fig.add_subplot(gs[0, 1])
sorted_idx = np.argsort(values1)
ax2.barh(
    y_pos,
    values1[sorted_idx],
    color="oc.red5",
    alpha=0.7,
    edgecolor="oc.red7",
    linewidth=0.3,
)
ax2.set_yticks(y_pos)
ax2.set_yticklabels([categories[i] for i in sorted_idx], fontsize=dm.fs(-1))
ax2.set_xlabel("Value", fontsize=dm.fs(0))
ax2.set_title("Sorted Horizontal Bar", fontsize=dm.fs(1))
ax2.set_xticks([0, 20, 40, 60])

# Panel C: Grouped horizontal bars
ax3 = fig.add_subplot(gs[1, 0])
height = 0.25
ax3.barh(
    y_pos - height,
    values1,
    height,
    color="oc.blue5",
    alpha=0.7,
    edgecolor="oc.blue7",
    linewidth=0.3,
    label="Group 1",
)
ax3.barh(
    y_pos,
    values2,
    height,
    color="oc.red5",
    alpha=0.7,
    edgecolor="oc.red7",
    linewidth=0.3,
    label="Group 2",
)
ax3.barh(
    y_pos + height,
    values3,
    height,
    color="oc.green5",
    alpha=0.7,
    edgecolor="oc.green7",
    linewidth=0.3,
    label="Group 3",
)
ax3.set_yticks(y_pos)
ax3.set_yticklabels(categories, fontsize=dm.fs(-1))
ax3.set_xlabel("Value", fontsize=dm.fs(0))
ax3.set_title("Grouped Horizontal Bars", fontsize=dm.fs(1))
ax3.legend(loc="best", fontsize=dm.fs(-1))
ax3.set_xticks([0, 20, 40, 60])

# Panel D: Horizontal bar with value labels
ax4 = fig.add_subplot(gs[1, 1])
bars = ax4.barh(
    y_pos,
    values1,
    color="oc.green5",
    alpha=0.7,
    edgecolor="oc.green7",
    linewidth=0.3,
)
ax4.set_yticks(y_pos)
ax4.set_yticklabels(categories, fontsize=dm.fs(-1))
ax4.set_xlabel("Value", fontsize=dm.fs(0))
ax4.set_title("With Value Labels", fontsize=dm.fs(1))
# Add value labels
for i, (_bar, val) in enumerate(zip(bars, values1, strict=False)):
    ax4.text(val + 1, i, f"{val}", va="center", fontsize=dm.fs(-1))
ax4.set_xticks([0, 20, 40, 60])

# Optimize layout
dm.simple_layout(fig, gs=gs)

# Save and show plot
plt.show()