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Update ticklabel alignment examples. #32317

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timhoffm merged 1 commit into from
Sep 8, 2026
+49 −13
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Update ticklabel alignment examples. #32317

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5 changes: 5 additions & 0 deletions galleries/examples/axisartist/demo_ticklabel_alignment.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,11 @@
Ticklabel alignment
===================

Because axisartist groups all ticks into a single object, the global alignment
of the ticks can be set directly.

See also :doc:`/gallery/ticks/align_ticklabels` for some workarounds that can
be used when working with standard axes.
"""


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57 changes: 44 additions & 13 deletions galleries/examples/ticks/align_ticklabels.py
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Original file line number Diff line number Diff line change
@@ -1,14 +1,24 @@
"""
=================
Align tick labels
=================
r"""
==========================
Left-aligned y 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.
y tick labels appear right-aligned.

To obtain left-aligned y tick labels, a solution is to force their
horizontal-alignment to "left". However, because the alignment reference point
is on the axis, such labels would overlap the plotting area, so the label
padding needs to be additionally increased.

An alternate solution is to use the mathtext commands ``\rlap`` and
``\phantom`` to manipulate the widths of the tick labels as seen by Matplotlib.
See https://www.tug.org/TUGboat/tb22-4/tb72perlS.pdf for a detailed description
of this approach.

See also :doc:`/gallery/axisartist/demo_ticklabel_alignment`.
"""

import matplotlib.pyplot as plt

population = {
Expand All @@ -20,13 +30,34 @@
"Shanghai": 21.9,
}

fig, ax = plt.subplots(layout="constrained")
fig, axs = plt.subplots(1, 2, layout="constrained")

# First solution: Force the horizontal-alignment of y tick labels to "left",
# and increase the padding (to a manually chosen value).

ax = axs[0]
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)


# Second solution: Use mathtext to manipulate the width of ylabels as seen
# by Matplotlib. Here, \rlap means "draw this text, but don't advance the
# cursor", whereas \phantom means "advance the cursor by the width of the
# enclosed text, but without actually drawing the text". The end result is
# that the labels get aligned as if "Mexico City" was written every time, but
# the real labels are actually drawn.

# Note that the widest label ("Mexico City") is still hard-coded here (it is
# the widest *rendered* label, which is not necessarily the longest label in
# characters).
def left_aligned_label(s):
return r"$\rlap{\text{%s}}\phantom{\text{Mexico City}}$" % s

ax = axs[1]
ax.barh([*map(left_aligned_label, population)], population.values())
ax.set_xlabel('Population (in millions)')

plt.show()
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