Nov 29, 2025 · Nov 29, 2025
diff --git a/galleries/examples/ticks/align_ticklabels.py b/galleries/examples/ticks/align_ticklabels.py
 """
 =================
 Align tick labels
 =================

 By default, tick labels are aligned towards the axis. This means the set of
 *y* tick labels appear right-aligned. Because the alignment reference point
 is on the axis, left-aligned tick labels would overlap the plotting area.
 To achieve a good-looking left-alignment, you have to additionally increase
 the padding.
 """
 import matplotlib.pyplot as plt

 population = {
    "Sydney": 5.2,
    "Mexico City": 8.8,
    "São Paulo": 12.2,
    "Istanbul": 15.9,
    "Lagos": 15.9,
    "Shanghai": 21.9,
 }

 fig, ax = plt.subplots(layout="constrained")
 ax.barh(population.keys(), population.values())
 ax.set_xlabel('Population (in millions)')

 # left-align all ticklabels
 for ticklabel in ax.get_yticklabels():
    ticklabel.set_horizontalalignment("left")

 # increase padding
 ax.tick_params("y", pad=70)
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1,32 @@
		"""
		=================
		Align tick labels
		=================

		By default, tick labels are aligned towards the axis. This means the set of
		y tick labels appear right-aligned. Because the alignment reference point
		is on the axis, left-aligned tick labels would overlap the plotting area.
		To achieve a good-looking left-alignment, you have to additionally increase
		the padding.
		"""
		import matplotlib.pyplot as plt

		population = {
		"Sydney": 5.2,
		"Mexico City": 8.8,
		"São Paulo": 12.2,
		"Istanbul": 15.9,
		"Lagos": 15.9,
		"Shanghai": 21.9,
		}

		fig, ax = plt.subplots(layout="constrained")
		ax.barh(population.keys(), population.values())
		ax.set_xlabel('Population (in millions)')

		# left-align all ticklabels
		for ticklabel in ax.get_yticklabels():
		ticklabel.set_horizontalalignment("left")

		# increase padding
		ax.tick_params("y", pad=70)