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"""
=============================
Grouped bar chart with labels
=============================
This example shows a how to create a grouped bar chart and how to annotate
bars with labels.
"""
# data from https://allisonhorst.github.io/palmerpenguins/
import matplotlib.pyplot as plt
import numpy as np
species = ("Adelie", "Chinstrap", "Gentoo")
penguin_means = {
'Bill Depth': (18.35, 18.43, 14.98),
'Bill Length': (38.79, 48.83, 47.50),
'Flipper Length': (189.95, 195.82, 217.19),
}
x = np.arange(len(species)) # the label locations
width = 0.25 # the width of the bars
multiplier = 0
fig, ax = plt.subplots(layout='constrained')
for attribute, measurement in penguin_means.items():
offset = width * multiplier
rects = ax.bar(x + offset, measurement, width, label=attribute)
ax.bar_label(rects, padding=3)
multiplier += 1
# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Length (mm)')
ax.set_title('Penguin attributes by species')
ax.set_xticks(x + width, species)
ax.legend(loc='upper left', ncols=3)
ax.set_ylim(0, 250)
plt.show()
# %%
#
# .. admonition:: References
#
# The use of the following functions, methods, classes and modules is shown
# in this example:
#
# - `matplotlib.axes.Axes.bar` / `matplotlib.pyplot.bar`
# - `matplotlib.axes.Axes.bar_label` / `matplotlib.pyplot.bar_label`
#
# .. tags::
#
# component: label
# plot-type: bar
# level: beginner
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