Simplify "Grouped bar chart with labels" using grouped_bar()

galleries/examples/lines_bars_and_markers/barchart.py

@@ -10,7 +10,6 @@
 # data from https://allisonhorst.github.io/palmerpenguins/
 
 import matplotlib.pyplot as plt
-import numpy as np
 
 species = ("Adelie", "Chinstrap", "Gentoo")
 penguin_means = {
@@ -19,22 +18,15 @@
     '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
+res = ax.grouped_bar(penguin_means, tick_labels=species, group_spacing=1)
+for container in res.bar_containers:
+    ax.bar_label(container, padding=3)
 
-# Add some text for labels, title and custom x-axis tick labels, etc.
+# Add some text for labels, title, 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)