Bar Charts

Start from basic, grouped, and labeled bars with gentle spacing so categories stay readable.

import matplotlib.pyplot as plt
import numpy as np

import dartwork_mpl as dm

# Apply presentation style for bolder look
dm.style.use("presentation")

# Data
labels = ["Q1", "Q2", "Q3", "Q4"]
men_means = [20, 34, 30, 35]
women_means = [25, 32, 34, 20]

x = np.arange(len(labels))
width = 0.35

fig = plt.figure(figsize=(dm.cm2in(12), dm.cm2in(8)), dpi=300)
gs = fig.add_gridspec(1, 1, left=0.12, right=0.95, top=0.92, bottom=0.12)
ax = fig.add_subplot(gs[0, 0])

# Plotting with Tailwind colors
rects1 = ax.bar(x - width / 2, men_means, width, label="Men", color="tw.sky500")
rects2 = ax.bar(
    x + width / 2, women_means, width, label="Women", color="tw.rose500"
)

# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel("Scores", fontsize=dm.fs(0))
ax.set_title("Scores by group and gender", fontsize=dm.fs(1))
ax.set_xticks(x)
ax.set_xticklabels(labels)
ax.legend(loc="best", fontsize=dm.fs(0), ncol=1)

# Add value labels
ax.bar_label(rects1, padding=3, fontsize=dm.fs(-1))
ax.bar_label(rects2, padding=3, fontsize=dm.fs(-1))

ax.set_ylim(0, 45)

dm.simple_layout(fig, gs=gs)

plt.show()