"""Figure size settings."""
# Some useful constants
_GOLDEN_RATIO = (5.0**0.5 - 1.0) / 2.0
"""Default height-to-width ratio for subplots."""
_POINTS_PER_INCH = 72.27
"""Translate pt to inches and back."""
_PAD_INCHES = 0.015
"""Default whitespace around figures when saving."""
# Double-column formats
[docs]
def icml2022_half(**kwargs):
"""Double-column (half-width) figures for ICML 2022."""
return _icml_and_aistats_common_half(**kwargs)
[docs]
def icml2022_full(**kwargs):
"""Single-column (full-width) figures for ICML 2022."""
return _icml_and_aistats_common_full(**kwargs)
[docs]
def icml2024_half(**kwargs):
"""Double-column (half-width) figures for ICML 2024."""
return _icml_and_aistats_common_half(**kwargs)
[docs]
def icml2024_full(**kwargs):
"""Single-column (full-width) figures for ICML 2024."""
return _icml_and_aistats_common_full(**kwargs)
[docs]
def aistats2022_half(**kwargs):
"""Double-column (half-width) figures for AISTATS 2022."""
return _icml_and_aistats_common_half(**kwargs)
[docs]
def aistats2022_full(**kwargs):
"""Single-column (full-width) figures for AISTATS 2022."""
return _icml_and_aistats_common_full(**kwargs)
[docs]
def aistats2023_half(**kwargs):
"""Double-column (half-width) figures for AISTATS 2023."""
return _icml_and_aistats_common_half(**kwargs)
[docs]
def aistats2023_full(**kwargs):
"""Single-column (full-width) figures for AISTATS 2023."""
return _icml_and_aistats_common_full(**kwargs)
def _icml_and_aistats_common_half(
*,
nrows=1,
ncols=1,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
figsize = _from_base_in(
base_width_in=3.25,
rel_width=1.0,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
def _icml_and_aistats_common_full(
*,
rel_width=1.0,
nrows=1,
ncols=2,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
figsize = _from_base_in(
base_width_in=6.75,
rel_width=rel_width,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
[docs]
def aaai2024_half(
*,
nrows=1,
ncols=1,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
rel_width=1.0,
):
"""Double-column (half-width) figures for AAAI 2024."""
figsize = _from_base_in(
base_width_in=3.3,
rel_width=rel_width,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
[docs]
def aaai2024_full(
*,
nrows=1,
ncols=1,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
rel_width=1.0,
):
"""Double-column (full-width) figures for AAAI 2024."""
figsize = _from_base_in(
base_width_in=6.975,
rel_width=rel_width,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
[docs]
def uai2023_half(
*,
nrows=1,
ncols=1,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""Double-column (half-width) figures for UAI 2023."""
figsize = _from_base_in(
base_width_in=3.25,
rel_width=1.0,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
[docs]
def uai2023_full(
*,
nrows=1,
ncols=1,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""Double-column (full-width) figures for UAI 2023."""
figsize = _from_base_in(
base_width_in=6.75,
rel_width=1.0,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
[docs]
def cvpr2022_half(
*,
nrows=1,
ncols=1,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""Double-column (half-width) figures for CVPR 2022."""
figsize = _from_base_pt(
base_width_pt=237.13594,
rel_width=1.0,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
[docs]
def cvpr2022_full(
*,
rel_width=1.0,
nrows=1,
ncols=2,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""Single-column (full-width) figures for CVPR 2022."""
figsize = _from_base_pt(
base_width_pt=496.85625,
rel_width=rel_width,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
[docs]
def cvpr2024_half(
*,
nrows=1,
ncols=1,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""Double-column (half-width) figures for CVPR 2024."""
figsize = _from_base_in(
base_width_in=3.25,
rel_width=1.0,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
[docs]
def cvpr2024_full(
*,
rel_width=1.0,
nrows=1,
ncols=2,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""Single-column (full-width) figures for CVPR 2024."""
figsize = _from_base_in(
base_width_in=6.875,
rel_width=rel_width,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
# Single-column formats
[docs]
def eccv2024(
*,
rel_width=1.0,
nrows=1,
ncols=2,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""ECCV figure size.
Source: https://eccv2024.ecva.net/Conferences/2024/SubmissionPolicies
"""
figsize = _from_base_in(
base_width_in=4.8, # corresponds to 122mm in ECCV template
rel_width=rel_width,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
[docs]
def jmlr2001(
*,
rel_width=1.0,
nrows=1,
ncols=2,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""JMLR figure size.
Source: https://www.jmlr.org/format/format.html
The present format is for US letter format.
"""
figsize = _from_base_in(
base_width_in=6.0,
rel_width=rel_width,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
[docs]
def tmlr2023(
*,
rel_width=1.0,
nrows=1,
ncols=2,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""TMLR figure size.
Source: https://www.jmlr.org/tmlr/author-guide.html"""
figsize = _from_base_in(
base_width_in=6.5,
rel_width=rel_width,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
[docs]
def neurips2021(
*,
rel_width=1.0,
nrows=1,
ncols=2,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""Neurips 2021 figure size."""
return _neurips_and_iclr_common(
rel_width=rel_width,
nrows=nrows,
ncols=ncols,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
height_to_width_ratio=height_to_width_ratio,
pad_inches=pad_inches,
)
[docs]
def neurips2022(
*,
rel_width=1.0,
nrows=1,
ncols=2,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""Neurips 2022 figure size."""
return _neurips_and_iclr_common(
rel_width=rel_width,
nrows=nrows,
ncols=ncols,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
height_to_width_ratio=height_to_width_ratio,
pad_inches=pad_inches,
)
[docs]
def neurips2023(
*,
rel_width=1.0,
nrows=1,
ncols=2,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""Neurips 2023 figure size."""
return _neurips_and_iclr_common(
rel_width=rel_width,
nrows=nrows,
ncols=ncols,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
height_to_width_ratio=height_to_width_ratio,
pad_inches=pad_inches,
)
[docs]
def neurips2024(
*,
rel_width=1.0,
nrows=1,
ncols=2,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""Neurips 2024 figure size.
Source: https://nips.cc/Conferences/2024/CallForPapers
"""
return _neurips_and_iclr_common(
rel_width=rel_width,
nrows=nrows,
ncols=ncols,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
height_to_width_ratio=height_to_width_ratio,
pad_inches=pad_inches,
)
[docs]
def iclr2023(
*,
rel_width=1.0,
nrows=1,
ncols=2,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""ICLR 2023 figure size."""
return _neurips_and_iclr_common(
rel_width=rel_width,
nrows=nrows,
ncols=ncols,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
height_to_width_ratio=height_to_width_ratio,
pad_inches=pad_inches,
)
[docs]
def iclr2024(
*,
rel_width=1.0,
nrows=1,
ncols=2,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""ICLR 2024 figure size."""
return _neurips_and_iclr_common(
rel_width=rel_width,
nrows=nrows,
ncols=ncols,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
height_to_width_ratio=height_to_width_ratio,
pad_inches=pad_inches,
)
def _neurips_and_iclr_common(
*,
rel_width=1.0,
nrows=1,
ncols=2,
constrained_layout=True,
tight_layout=False,
height_to_width_ratio=_GOLDEN_RATIO,
pad_inches=_PAD_INCHES,
):
"""Neurips figure size defaults."""
figsize = _from_base_in(
base_width_in=5.5,
rel_width=rel_width,
height_to_width_ratio=height_to_width_ratio,
nrows=nrows,
ncols=ncols,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
def _from_base_pt(*, base_width_pt, **kwargs):
base_width_in = base_width_pt / _POINTS_PER_INCH
return _from_base_in(base_width_in=base_width_in, **kwargs)
def _from_base_in(*, base_width_in, rel_width, height_to_width_ratio, nrows, ncols):
width_in = base_width_in * rel_width
subplot_width_in = width_in / ncols
subplot_height_in = height_to_width_ratio * subplot_width_in
height_in = subplot_height_in * nrows
return width_in, height_in
# Other formats
[docs]
def beamer_169(
*,
rel_width=0.9,
rel_height=0.6,
constrained_layout=True,
tight_layout=False,
pad_inches=_PAD_INCHES,
):
"""Beamer figure size for `aspectratio=169`."""
figsize = _from_base_pt(
base_width_pt=398.3386, # via '\showthe\textwidth' in latex
rel_width=rel_width,
height_to_width_ratio=(9 / 16) * (rel_height / rel_width),
nrows=1,
ncols=1,
)
return _figsize_to_output_dict(
figsize=figsize,
constrained_layout=constrained_layout,
tight_layout=tight_layout,
pad_inches=pad_inches,
)
def _figsize_to_output_dict(
*,
figsize,
constrained_layout,
tight_layout,
pad_inches,
):
return {
"figure.figsize": figsize,
"figure.constrained_layout.use": constrained_layout,
"figure.autolayout": tight_layout,
"savefig.bbox": "tight",
"savefig.pad_inches": pad_inches,
}
