syrupy-matplotlib
A pytest plugin for comparing matplotlib figures against stored baselines, built on syrupy.
Built with the help of Claude Code, Anthropic's CLI for Claude. Design, implementation, and tests were developed in collaboration with the assistant; the human author reviewed, validated, and approved most changes.
Figures are compared through a dedicated snapshot_matplotlib fixture using
assert fig == snapshot_matplotlib. Syrupy's built-in snapshot fixture is
not shadowed, so you can keep using it for strings, dicts, JSON, etc. in
the same test suite (or even the same test).
Multiple snapshots per test are supported via auto-indexing or explicit names.
By default the fixture also auto-discovers, auto-asserts, and auto-closes
any figures created during a test that were not asserted explicitly — so
tests usually need no assert at all.
Installation
pip install syrupy-matplotlib
Syrupy is installed automatically as a dependency.
Quick start
import matplotlib.pyplot as plt
def test_sine_wave(snapshot_matplotlib):
fig, ax = plt.subplots()
ax.plot([0, 1, 2], [0, 1, 0])
# No assert needed — auto-discovered, auto-asserted, auto-closed.
Explicit assertions still work and take precedence over auto:
def test_sine_wave(snapshot_matplotlib):
fig, ax = plt.subplots()
ax.plot([0, 1, 2], [0, 1, 0])
assert fig == snapshot_matplotlib
# Generate baselines
pytest --snapshot-update
# Compare against baselines (default behaviour)
pytest
Baselines live in __snapshots__/<module_stem>/ next to the test module:
tests/
test_plots.py
__snapshots__/
test_plots/
test_sine_wave.png
Coexistence with syrupy's snapshot
The plugin exposes its own snapshot_matplotlib fixture and leaves syrupy's
snapshot alone. Mix both freely:
def test_metadata_and_figure(snapshot, snapshot_matplotlib):
assert {"version": 2, "items": 3} == snapshot # → amber .ambr
fig, ax = plt.subplots()
ax.plot([1, 2, 3])
assert fig == snapshot_matplotlib # → .png
Amber baselines land in __snapshots__/<module>.ambr; figure baselines land
in __snapshots__/<module>/<name>.png. They never collide.
Multiple snapshots per test
Each == snapshot_matplotlib in a test creates its own baseline. Auto-indexed
by default, overridable with name=:
def test_views(snapshot_matplotlib):
fig1, _ = plt.subplots() # → test_views.png
assert fig1 == snapshot_matplotlib
fig2, _ = plt.subplots() # → test_views.1.png
assert fig2 == snapshot_matplotlib
fig3, _ = plt.subplots() # → test_views[zoomed].png
assert fig3 == snapshot_matplotlib(name="zoomed")
In a non-parametrized test, the first auto-indexed baseline has no suffix
(test_views.png); subsequent ones start at .1 (test_views.1.png,
test_views.2.png, ...).
Per-call overrides
snapshot_matplotlib(...) accepts overrides that apply to one assertion only:
def test_loose(snapshot_matplotlib):
fig, _ = plt.subplots()
assert fig == snapshot_matplotlib(
tolerance=5.0, # RMS threshold
remove_text=True, # strip ticks/titles before comparing
savefig_kwargs={"dpi": 150},
)
When the plotting code doesn't return the figure (e.g. a library that
calls plt.plot internally), grab the current figure with plt.gcf()
to apply per-call overrides — auto mode skips figures already asserted
explicitly:
def test_lib_plot(snapshot_matplotlib):
some_lib_that_plots()
assert plt.gcf() == snapshot_matplotlib(tolerance=5.0)
remove_textmutates the figure. It callsmatplotlib.testing.decorators.remove_ticks_and_titles(fig), which strips tick labels and titles from the figure object itself rather than from a copy — the same thingimage_comparisondoes. The figure stays stripped afterwards, so a second assertion on it, or any inspection after the assertion, sees the stripped version.
Test-scoped defaults (style, backend) come from INI; override them
globally with a wrapper fixture in conftest.py if needed.
Auto-discover / auto-assert / auto-close
The fixture tracks every figure created during the test. At the end of the test's call phase it compares each figure that was not asserted explicitly against its baseline — so a mismatch is a regular test failure, not a teardown error — and at teardown it closes all figures it discovered.
def test_one_liner(snapshot_matplotlib):
fig, ax = plt.subplots()
ax.plot([1, 2, 3])
# fig is auto-asserted and auto-closed here.
Figures you already asserted with assert fig == snapshot_matplotlib are
skipped by the auto path (no double-counted baselines) but are still closed.
Auto-discovery only sees pyplot-managed figures. It reads matplotlib's global figure manager, which tracks figures created through
plt.figure(),plt.subplots(), and friends. A figure built directly —fig = Figure(), the usual shape in embedded or library code — is invisible to it and must be asserted explicitly:from matplotlib.figure import Figure def test_embedded(snapshot_matplotlib): fig = Figure() fig.subplots().plot([1, 2, 3]) assert fig == snapshot_matplotlib # required: auto won't find itA test that requests the fixture, has auto enabled, and ends up comparing no figure at all emits a warning rather than passing silently.
Disable the auto behavior at two levels (per-test wins over INI):
# Per test (persists for the rest of the test body):
def test_manual(snapshot_matplotlib):
snapshot_matplotlib(auto=False)
...
# Globally via INI:
[pytest]
snapshot_matplotlib_auto = false
Accepted boolean literals: true/false, yes/no, on/off, 1/0.
CLI flags
| Flag | Source | Description |
|---|---|---|
--snapshot-update |
syrupy | Regenerate baseline images. |
--snapshot-warn-unused |
syrupy | Warn instead of failing on orphan baselines. |
--snapshot-details |
syrupy | List unused snapshots in the summary. |
--snapshot-matplotlib-report |
this plugin | Generate an HTML report in figure-report/. |
--snapshot-matplotlib-report=html,json |
this plugin | Select report formats (html, json, basic-html). |
--snapshot-matplotlib-report-dir |
this plugin | Where artifacts and reports land (default figure-report/). |
Warning: Passing
--snapshot-ignore-file-extensions=pngsilently disables figure discovery. The plugin emits a warning if this is detected.
The report directory
figure-report/ is the default; --snapshot-matplotlib-report-dir=DIR or
snapshot_matplotlib_report_dir moves it. A relative value is resolved
against the rootdir.
The plugin owns this directory. At the start of every session it deletes its own reports and every
*.pngbeneath it, so a run that goes green cannot leave the previous run's failure report standing. Point it at a directory of its own — the rootdir itself is rejected.
Give concurrent runs that share a checkout (tox -p, two CI jobs) their own
directory: they otherwise write the same artifact paths for the same test
and race on them.
Contents
Without --snapshot-matplotlib-report, only failed comparisons leave
artifacts under figure-report/: the rendered output (<stem>.png),
the baseline (<stem>-expected.png), and a diff (<stem>-diff.png)
for DIFF outcomes; just the rendered output for MISSING outcomes.
Passing comparisons write nothing.
If at least one comparison fails on a normal run (no
--snapshot-matplotlib-report, no --snapshot-update), the plugin
also emits figure-report/report.html and figure-report/styles.css
containing only the failed cases — so a failing run gives you a
rendered overview by default. All-pass runs and --snapshot-update
runs write no report.
With --snapshot-matplotlib-report=..., every comparison's actual and
baseline images are kept so the report can show pass cards as well, and
the chosen report.html / report-basic.html / results.json files
are written alongside (overriding the failed-only default).
Note: Combining a report flag with
--snapshot-updatewrites the report but no images — update mode regenerates baselines instead of running comparisons, so there are no actual/baseline/diff artifacts to embed. Run the report on a normal comparison run to get image cards.
INI options
The values shown below are the defaults applied when no option is set:
[pytest]
snapshot_matplotlib_tolerance = 0
snapshot_matplotlib_style = default
snapshot_matplotlib_backend = agg
snapshot_matplotlib_auto = true
snapshot_matplotlib_remove_text = false
snapshot_matplotlib_savefig_kwargs = {}
snapshot_matplotlib_report_dir = figure-report
A blank value (snapshot_matplotlib_remove_text =) counts as unset for every
option and falls back to the default shown above.
snapshot_matplotlib_style accepts a comma-separated list, applied left to
right the way plt.style.use() composes styles — classic, _classic_test_patch is matplotlib's own test-suite pairing.
snapshot_matplotlib_savefig_kwargs accepts a JSON object whose keys are
forwarded to Figure.savefig(). A per-call
snapshot_matplotlib(savefig_kwargs=...) replaces the INI dict wholesale
rather than merging per key — pass every key you need, including any INI
defaults you want to keep. Per-call remove_text / tolerance likewise
override the INI defaults for that one assertion.
Precedence runs per-call snapshot_matplotlib(...) → set_defaults() → INI
→ built-in default. Only snapshot_matplotlib_report_dir has a CLI
counterpart, which wins over it; --snapshot-matplotlib-report is CLI-only,
and the rest are INI-only.
Relation to matplotlib.testing
The defaults align with matplotlib.testing.decorators.image_comparison
where it makes sense — same tolerance = 0, same remove_text = False,
same agg backend, same effective savefig rcParams. Two intentional
deviations:
-
Style. mpl's test suite uses
("classic", "_classic_test_patch"). The_classic_test_patch.mplstylesetstext.kerning_factor = 6andytick.alignment = center_baseline, restoring pre-3.2 glyph metrics so mpl's vendored baseline PNGs keep matching across releases. This plugin usesdefault(current mpl built-in defaults): fresh baselines compare against themselves, so the patch is irrelevant — it only matters for byte-parity with mpl's own upstream baseline fixtures. Setsnapshot_matplotlib_style = classic,_classic_test_patchto adopt it. -
FreeType version pin.
image_comparison(..., freetype_version=...)skips a test when the installed FreeType differs from the version the baseline was rendered against, since glyph anti-aliasing varies sub-pixel between FreeType releases. This plugin does not expose an equivalent option. In practice, mpl wheels on PyPI vendor FreeType 2.6.1, sopip/uvusers share the same version. If you install mpl from source or via conda-forge (which links the system FreeType), text-heavy figures may RMS-drift across machines; either regenerate baselines on the target environment or useremove_text = true.
Parametrized tests
Parametrize works without any special configuration. Each combination gets its own baseline file:
import pytest
@pytest.mark.parametrize("color", ["red", "blue"])
def test_colors(snapshot_matplotlib, color):
fig, ax = plt.subplots()
ax.plot([1, 2, 3], color=color)
assert fig == snapshot_matplotlib
Baselines: test_colors[red].png, test_colors[blue].png.
Terminal summary
At the end of every run the plugin prints a one-block summary:
=========================== snapshot-matplotlib ============================
Images: 8 OK, 2 failed
With -v (or higher), each non-empty bucket is expanded to list its
records — the pytest node id plus the snapshot stem, one entry per
assertion:
OK images (8):
tests/test_plots.py::test_simple::test_simple
...
Failed images (2):
tests/test_plots.py::test_drift::test_drift
Unused-snapshot detection
Inherited from syrupy: at session end, any .png in __snapshots__/ that
was not touched during the run fails the suite. Downgrade to a warning with
--snapshot-warn-unused; delete orphans automatically with
--snapshot-update.
Determinism
The snapshot_matplotlib fixture wraps the test body in a deterministic
matplotlib environment: forced backend, matplotlib.testing font +
reproducibility helpers, SVG hashsalt, SOURCE_DATE_EPOCH=0. Figures are
drawn under the configured style via
plt.style.context(..., after_reset=True).
Determinism holds within a matplotlib version, not across upgrades. The
plugin delegates font setup to matplotlib.testing, so whatever that helper
changes, your rendering follows. Concretely, matplotlib 3.11 changed
set_font_settings_for_testing() to set text.hinting = "default" (it was
"none") and stopped setting text.hinting_factor. Glyph rasterization
differs between those two settings, so baselines containing visible text and
generated under matplotlib ≤ 3.10 will fail against matplotlib ≥ 3.11.
Treat a matplotlib minor bump like a FreeType change: regenerate with
--snapshot-update and eyeball the diff, or insulate the suite with
remove_text = true / a non-zero snapshot_matplotlib_tolerance.
xdist support
Works with pytest-xdist (-n auto). Workers write per-worker result
fragments; the controller merges them at session end before generating
reports. Syrupy's own unused-snapshot detection is limited under xdist with
--snapshot-update — regenerate baselines without xdist when possible.
Fragment merge and report generation read the worker-written files from a
single figure-report/ directory, so xdist support assumes a shared (or
local) filesystem — the common single-host -n auto case. Distributed runs
that place workers on separate filesystems (e.g. --tx ssh=...) won't surface
their fragments or image artifacts to the controller.
Custom fixture wrappers
To set test-scoped defaults (e.g. a different tolerance for one package),
wrap the fixture in a conftest.py and call set_defaults():
import pytest
@pytest.fixture
def snapshot_matplotlib(snapshot_matplotlib):
return snapshot_matplotlib.set_defaults(tolerance=5.0)
set_defaults(tolerance=..., savefig_kwargs=..., remove_text=..., auto=...)
applies to every assertion in the test, including the ones made by the
auto path. Calling snapshot_matplotlib(tolerance=5.0) in a wrapper fixture
instead would set the tolerance for the first assertion only — per-call
overrides are reverted once the assertion they precede has run.
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