/
rcsetup.py
1259 lines (1061 loc) · 47.1 KB
/
rcsetup.py
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"""
The rcsetup module contains the validation code for customization using
Matplotlib's rc settings.
Each rc setting is assigned a function used to validate any attempted changes
to that setting. The validation functions are defined in the rcsetup module,
and are used to construct the rcParams global object which stores the settings
and is referenced throughout Matplotlib.
The default values of the rc settings are set in the default matplotlibrc file.
Any additions or deletions to the parameter set listed here should also be
propagated to the :file:`matplotlibrc.template` in Matplotlib's root source
directory.
"""
import ast
from functools import lru_cache, reduce
from numbers import Number
import operator
import os
import re
import numpy as np
from matplotlib import _api, cbook
from matplotlib.cbook import ls_mapper
from matplotlib.colors import Colormap, is_color_like
from matplotlib._fontconfig_pattern import parse_fontconfig_pattern
from matplotlib._enums import JoinStyle, CapStyle
# Don't let the original cycler collide with our validating cycler
from cycler import Cycler, cycler as ccycler
# The capitalized forms are needed for ipython at present; this may
# change for later versions.
interactive_bk = [
'GTK3Agg', 'GTK3Cairo', 'GTK4Agg', 'GTK4Cairo',
'MacOSX',
'nbAgg',
'QtAgg', 'QtCairo', 'Qt5Agg', 'Qt5Cairo',
'TkAgg', 'TkCairo',
'WebAgg',
'WX', 'WXAgg', 'WXCairo',
]
non_interactive_bk = ['agg', 'cairo',
'pdf', 'pgf', 'ps', 'svg', 'template']
all_backends = interactive_bk + non_interactive_bk
class ValidateInStrings:
def __init__(self, key, valid, ignorecase=False, *,
_deprecated_since=None):
"""*valid* is a list of legal strings."""
self.key = key
self.ignorecase = ignorecase
self._deprecated_since = _deprecated_since
def func(s):
if ignorecase:
return s.lower()
else:
return s
self.valid = {func(k): k for k in valid}
def __call__(self, s):
if self._deprecated_since:
name, = (k for k, v in globals().items() if v is self)
_api.warn_deprecated(
self._deprecated_since, name=name, obj_type="function")
if self.ignorecase:
s = s.lower()
if s in self.valid:
return self.valid[s]
msg = (f"{s!r} is not a valid value for {self.key}; supported values "
f"are {[*self.valid.values()]}")
if (isinstance(s, str)
and (s.startswith('"') and s.endswith('"')
or s.startswith("'") and s.endswith("'"))
and s[1:-1] in self.valid):
msg += "; remove quotes surrounding your string"
raise ValueError(msg)
@lru_cache()
def _listify_validator(scalar_validator, allow_stringlist=False, *,
n=None, doc=None):
def f(s):
if isinstance(s, str):
try:
val = [scalar_validator(v.strip()) for v in s.split(',')
if v.strip()]
except Exception:
if allow_stringlist:
# Sometimes, a list of colors might be a single string
# of single-letter colornames. So give that a shot.
val = [scalar_validator(v.strip()) for v in s if v.strip()]
else:
raise
# Allow any ordered sequence type -- generators, np.ndarray, pd.Series
# -- but not sets, whose iteration order is non-deterministic.
elif np.iterable(s) and not isinstance(s, (set, frozenset)):
# The condition on this list comprehension will preserve the
# behavior of filtering out any empty strings (behavior was
# from the original validate_stringlist()), while allowing
# any non-string/text scalar values such as numbers and arrays.
val = [scalar_validator(v) for v in s
if not isinstance(v, str) or v]
else:
raise ValueError(
f"Expected str or other non-set iterable, but got {s}")
if n is not None and len(val) != n:
raise ValueError(
f"Expected {n} values, but there are {len(val)} values in {s}")
return val
try:
f.__name__ = "{}list".format(scalar_validator.__name__)
except AttributeError: # class instance.
f.__name__ = "{}List".format(type(scalar_validator).__name__)
f.__qualname__ = f.__qualname__.rsplit(".", 1)[0] + "." + f.__name__
f.__doc__ = doc if doc is not None else scalar_validator.__doc__
return f
def validate_any(s):
return s
validate_anylist = _listify_validator(validate_any)
def _validate_date(s):
try:
np.datetime64(s)
return s
except ValueError:
raise ValueError(
f'{s!r} should be a string that can be parsed by numpy.datetime64')
def validate_bool(b):
"""Convert b to ``bool`` or raise."""
if isinstance(b, str):
b = b.lower()
if b in ('t', 'y', 'yes', 'on', 'true', '1', 1, True):
return True
elif b in ('f', 'n', 'no', 'off', 'false', '0', 0, False):
return False
else:
raise ValueError('Could not convert "%s" to bool' % b)
def validate_axisbelow(s):
try:
return validate_bool(s)
except ValueError:
if isinstance(s, str):
if s == 'line':
return 'line'
raise ValueError('%s cannot be interpreted as'
' True, False, or "line"' % s)
def validate_dpi(s):
"""Confirm s is string 'figure' or convert s to float or raise."""
if s == 'figure':
return s
try:
return float(s)
except ValueError as e:
raise ValueError(f'{s!r} is not string "figure" and '
f'could not convert {s!r} to float') from e
def _make_type_validator(cls, *, allow_none=False):
"""
Return a validator that converts inputs to *cls* or raises (and possibly
allows ``None`` as well).
"""
def validator(s):
if (allow_none and
(s is None or isinstance(s, str) and s.lower() == "none")):
return None
if cls is str and not isinstance(s, str):
_api.warn_deprecated(
"3.5", message="Support for setting an rcParam that expects a "
"str value to a non-str value is deprecated since %(since)s "
"and support will be removed %(removal)s.")
try:
return cls(s)
except (TypeError, ValueError) as e:
raise ValueError(
f'Could not convert {s!r} to {cls.__name__}') from e
validator.__name__ = f"validate_{cls.__name__}"
if allow_none:
validator.__name__ += "_or_None"
validator.__qualname__ = (
validator.__qualname__.rsplit(".", 1)[0] + "." + validator.__name__)
return validator
validate_string = _make_type_validator(str)
validate_string_or_None = _make_type_validator(str, allow_none=True)
validate_stringlist = _listify_validator(
validate_string, doc='return a list of strings')
validate_int = _make_type_validator(int)
validate_int_or_None = _make_type_validator(int, allow_none=True)
validate_float = _make_type_validator(float)
validate_float_or_None = _make_type_validator(float, allow_none=True)
validate_floatlist = _listify_validator(
validate_float, doc='return a list of floats')
def _validate_pathlike(s):
if isinstance(s, (str, os.PathLike)):
# Store value as str because savefig.directory needs to distinguish
# between "" (cwd) and "." (cwd, but gets updated by user selections).
return os.fsdecode(s)
else:
return validate_string(s) # Emit deprecation warning.
def validate_fonttype(s):
"""
Confirm that this is a Postscript or PDF font type that we know how to
convert to.
"""
fonttypes = {'type3': 3,
'truetype': 42}
try:
fonttype = validate_int(s)
except ValueError:
try:
return fonttypes[s.lower()]
except KeyError as e:
raise ValueError('Supported Postscript/PDF font types are %s'
% list(fonttypes)) from e
else:
if fonttype not in fonttypes.values():
raise ValueError(
'Supported Postscript/PDF font types are %s' %
list(fonttypes.values()))
return fonttype
_validate_standard_backends = ValidateInStrings(
'backend', all_backends, ignorecase=True)
_auto_backend_sentinel = object()
def validate_backend(s):
backend = (
s if s is _auto_backend_sentinel or s.startswith("module://")
else _validate_standard_backends(s))
return backend
def _validate_toolbar(s):
s = ValidateInStrings(
'toolbar', ['None', 'toolbar2', 'toolmanager'], ignorecase=True)(s)
if s == 'toolmanager':
_api.warn_external(
"Treat the new Tool classes introduced in v1.5 as experimental "
"for now; the API and rcParam may change in future versions.")
return s
def validate_color_or_inherit(s):
"""Return a valid color arg."""
if cbook._str_equal(s, 'inherit'):
return s
return validate_color(s)
def validate_color_or_auto(s):
if cbook._str_equal(s, 'auto'):
return s
return validate_color(s)
def validate_color_for_prop_cycle(s):
# N-th color cycle syntax can't go into the color cycle.
if isinstance(s, str) and re.match("^C[0-9]$", s):
raise ValueError(f"Cannot put cycle reference ({s!r}) in prop_cycler")
return validate_color(s)
def _validate_color_or_linecolor(s):
if cbook._str_equal(s, 'linecolor'):
return s
elif cbook._str_equal(s, 'mfc') or cbook._str_equal(s, 'markerfacecolor'):
return 'markerfacecolor'
elif cbook._str_equal(s, 'mec') or cbook._str_equal(s, 'markeredgecolor'):
return 'markeredgecolor'
elif s is None:
return None
elif isinstance(s, str) and len(s) == 6 or len(s) == 8:
stmp = '#' + s
if is_color_like(stmp):
return stmp
if s.lower() == 'none':
return None
elif is_color_like(s):
return s
raise ValueError(f'{s!r} does not look like a color arg')
def validate_color(s):
"""Return a valid color arg."""
if isinstance(s, str):
if s.lower() == 'none':
return 'none'
if len(s) == 6 or len(s) == 8:
stmp = '#' + s
if is_color_like(stmp):
return stmp
if is_color_like(s):
return s
# If it is still valid, it must be a tuple (as a string from matplotlibrc).
try:
color = ast.literal_eval(s)
except (SyntaxError, ValueError):
pass
else:
if is_color_like(color):
return color
raise ValueError(f'{s!r} does not look like a color arg')
validate_colorlist = _listify_validator(
validate_color, allow_stringlist=True, doc='return a list of colorspecs')
def _validate_cmap(s):
_api.check_isinstance((str, Colormap), cmap=s)
return s
def validate_aspect(s):
if s in ('auto', 'equal'):
return s
try:
return float(s)
except ValueError as e:
raise ValueError('not a valid aspect specification') from e
def validate_fontsize_None(s):
if s is None or s == 'None':
return None
else:
return validate_fontsize(s)
def validate_fontsize(s):
fontsizes = ['xx-small', 'x-small', 'small', 'medium', 'large',
'x-large', 'xx-large', 'smaller', 'larger']
if isinstance(s, str):
s = s.lower()
if s in fontsizes:
return s
try:
return float(s)
except ValueError as e:
raise ValueError("%s is not a valid font size. Valid font sizes "
"are %s." % (s, ", ".join(fontsizes))) from e
validate_fontsizelist = _listify_validator(validate_fontsize)
def validate_fontweight(s):
weights = [
'ultralight', 'light', 'normal', 'regular', 'book', 'medium', 'roman',
'semibold', 'demibold', 'demi', 'bold', 'heavy', 'extra bold', 'black']
# Note: Historically, weights have been case-sensitive in Matplotlib
if s in weights:
return s
try:
return int(s)
except (ValueError, TypeError) as e:
raise ValueError(f'{s} is not a valid font weight.') from e
def validate_fontstretch(s):
stretchvalues = [
'ultra-condensed', 'extra-condensed', 'condensed', 'semi-condensed',
'normal', 'semi-expanded', 'expanded', 'extra-expanded',
'ultra-expanded']
# Note: Historically, stretchvalues have been case-sensitive in Matplotlib
if s in stretchvalues:
return s
try:
return int(s)
except (ValueError, TypeError) as e:
raise ValueError(f'{s} is not a valid font stretch.') from e
def validate_font_properties(s):
parse_fontconfig_pattern(s)
return s
def _validate_mathtext_fallback(s):
_fallback_fonts = ['cm', 'stix', 'stixsans']
if isinstance(s, str):
s = s.lower()
if s is None or s == 'none':
return None
elif s.lower() in _fallback_fonts:
return s
else:
raise ValueError(
f"{s} is not a valid fallback font name. Valid fallback font "
f"names are {','.join(_fallback_fonts)}. Passing 'None' will turn "
"fallback off.")
def validate_whiskers(s):
try:
return _listify_validator(validate_float, n=2)(s)
except (TypeError, ValueError):
try:
return float(s)
except ValueError as e:
raise ValueError("Not a valid whisker value [float, "
"(float, float)]") from e
def validate_ps_distiller(s):
if isinstance(s, str):
s = s.lower()
if s in ('none', None, 'false', False):
return None
else:
return ValidateInStrings('ps.usedistiller', ['ghostscript', 'xpdf'])(s)
# A validator dedicated to the named line styles, based on the items in
# ls_mapper, and a list of possible strings read from Line2D.set_linestyle
_validate_named_linestyle = ValidateInStrings(
'linestyle',
[*ls_mapper.keys(), *ls_mapper.values(), 'None', 'none', ' ', ''],
ignorecase=True)
def _validate_linestyle(ls):
"""
A validator for all possible line styles, the named ones *and*
the on-off ink sequences.
"""
if isinstance(ls, str):
try: # Look first for a valid named line style, like '--' or 'solid'.
return _validate_named_linestyle(ls)
except ValueError:
pass
try:
ls = ast.literal_eval(ls) # Parsing matplotlibrc.
except (SyntaxError, ValueError):
pass # Will error with the ValueError at the end.
def _is_iterable_not_string_like(x):
# Explicitly exclude bytes/bytearrays so that they are not
# nonsensically interpreted as sequences of numbers (codepoints).
return np.iterable(x) and not isinstance(x, (str, bytes, bytearray))
if _is_iterable_not_string_like(ls):
if len(ls) == 2 and _is_iterable_not_string_like(ls[1]):
# (offset, (on, off, on, off, ...))
offset, onoff = ls
else:
# For backcompat: (on, off, on, off, ...); the offset is implicit.
offset = 0
onoff = ls
if (isinstance(offset, Number)
and len(onoff) % 2 == 0
and all(isinstance(elem, Number) for elem in onoff)):
return (offset, onoff)
raise ValueError(f"linestyle {ls!r} is not a valid on-off ink sequence.")
validate_fillstyle = ValidateInStrings(
'markers.fillstyle', ['full', 'left', 'right', 'bottom', 'top', 'none'])
validate_fillstylelist = _listify_validator(validate_fillstyle)
def validate_markevery(s):
"""
Validate the markevery property of a Line2D object.
Parameters
----------
s : None, int, (int, int), slice, float, (float, float), or list[int]
Returns
-------
None, int, (int, int), slice, float, (float, float), or list[int]
"""
# Validate s against type slice float int and None
if isinstance(s, (slice, float, int, type(None))):
return s
# Validate s against type tuple
if isinstance(s, tuple):
if (len(s) == 2
and (all(isinstance(e, int) for e in s)
or all(isinstance(e, float) for e in s))):
return s
else:
raise TypeError(
"'markevery' tuple must be pair of ints or of floats")
# Validate s against type list
if isinstance(s, list):
if all(isinstance(e, int) for e in s):
return s
else:
raise TypeError(
"'markevery' list must have all elements of type int")
raise TypeError("'markevery' is of an invalid type")
validate_markeverylist = _listify_validator(validate_markevery)
def validate_bbox(s):
if isinstance(s, str):
s = s.lower()
if s == 'tight':
return s
if s == 'standard':
return None
raise ValueError("bbox should be 'tight' or 'standard'")
elif s is not None:
# Backwards compatibility. None is equivalent to 'standard'.
raise ValueError("bbox should be 'tight' or 'standard'")
return s
def validate_sketch(s):
if isinstance(s, str):
s = s.lower()
if s == 'none' or s is None:
return None
try:
return tuple(_listify_validator(validate_float, n=3)(s))
except ValueError:
raise ValueError("Expected a (scale, length, randomness) triplet")
def _validate_greaterequal0_lessthan1(s):
s = validate_float(s)
if 0 <= s < 1:
return s
else:
raise RuntimeError(f'Value must be >=0 and <1; got {s}')
def _validate_greaterequal0_lessequal1(s):
s = validate_float(s)
if 0 <= s <= 1:
return s
else:
raise RuntimeError(f'Value must be >=0 and <=1; got {s}')
_range_validators = { # Slightly nicer (internal) API.
"0 <= x < 1": _validate_greaterequal0_lessthan1,
"0 <= x <= 1": _validate_greaterequal0_lessequal1,
}
def validate_hatch(s):
r"""
Validate a hatch pattern.
A hatch pattern string can have any sequence of the following
characters: ``\ / | - + * . x o O``.
"""
if not isinstance(s, str):
raise ValueError("Hatch pattern must be a string")
_api.check_isinstance(str, hatch_pattern=s)
unknown = set(s) - {'\\', '/', '|', '-', '+', '*', '.', 'x', 'o', 'O'}
if unknown:
raise ValueError("Unknown hatch symbol(s): %s" % list(unknown))
return s
validate_hatchlist = _listify_validator(validate_hatch)
validate_dashlist = _listify_validator(validate_floatlist)
_prop_validators = {
'color': _listify_validator(validate_color_for_prop_cycle,
allow_stringlist=True),
'linewidth': validate_floatlist,
'linestyle': _listify_validator(_validate_linestyle),
'facecolor': validate_colorlist,
'edgecolor': validate_colorlist,
'joinstyle': _listify_validator(JoinStyle),
'capstyle': _listify_validator(CapStyle),
'fillstyle': validate_fillstylelist,
'markerfacecolor': validate_colorlist,
'markersize': validate_floatlist,
'markeredgewidth': validate_floatlist,
'markeredgecolor': validate_colorlist,
'markevery': validate_markeverylist,
'alpha': validate_floatlist,
'marker': validate_stringlist,
'hatch': validate_hatchlist,
'dashes': validate_dashlist,
}
_prop_aliases = {
'c': 'color',
'lw': 'linewidth',
'ls': 'linestyle',
'fc': 'facecolor',
'ec': 'edgecolor',
'mfc': 'markerfacecolor',
'mec': 'markeredgecolor',
'mew': 'markeredgewidth',
'ms': 'markersize',
}
def cycler(*args, **kwargs):
"""
Create a `~cycler.Cycler` object much like :func:`cycler.cycler`,
but includes input validation.
Call signatures::
cycler(cycler)
cycler(label=values[, label2=values2[, ...]])
cycler(label, values)
Form 1 copies a given `~cycler.Cycler` object.
Form 2 creates a `~cycler.Cycler` which cycles over one or more
properties simultaneously. If multiple properties are given, their
value lists must have the same length.
Form 3 creates a `~cycler.Cycler` for a single property. This form
exists for compatibility with the original cycler. Its use is
discouraged in favor of the kwarg form, i.e. ``cycler(label=values)``.
Parameters
----------
cycler : Cycler
Copy constructor for Cycler.
label : str
The property key. Must be a valid `.Artist` property.
For example, 'color' or 'linestyle'. Aliases are allowed,
such as 'c' for 'color' and 'lw' for 'linewidth'.
values : iterable
Finite-length iterable of the property values. These values
are validated and will raise a ValueError if invalid.
Returns
-------
Cycler
A new :class:`~cycler.Cycler` for the given properties.
Examples
--------
Creating a cycler for a single property:
>>> c = cycler(color=['red', 'green', 'blue'])
Creating a cycler for simultaneously cycling over multiple properties
(e.g. red circle, green plus, blue cross):
>>> c = cycler(color=['red', 'green', 'blue'],
... marker=['o', '+', 'x'])
"""
if args and kwargs:
raise TypeError("cycler() can only accept positional OR keyword "
"arguments -- not both.")
elif not args and not kwargs:
raise TypeError("cycler() must have positional OR keyword arguments")
if len(args) == 1:
if not isinstance(args[0], Cycler):
raise TypeError("If only one positional argument given, it must "
"be a Cycler instance.")
return validate_cycler(args[0])
elif len(args) == 2:
pairs = [(args[0], args[1])]
elif len(args) > 2:
raise TypeError("No more than 2 positional arguments allowed")
else:
pairs = kwargs.items()
validated = []
for prop, vals in pairs:
norm_prop = _prop_aliases.get(prop, prop)
validator = _prop_validators.get(norm_prop, None)
if validator is None:
raise TypeError("Unknown artist property: %s" % prop)
vals = validator(vals)
# We will normalize the property names as well to reduce
# the amount of alias handling code elsewhere.
validated.append((norm_prop, vals))
return reduce(operator.add, (ccycler(k, v) for k, v in validated))
class _DunderChecker(ast.NodeVisitor):
def visit_Attribute(self, node):
if node.attr.startswith("__") and node.attr.endswith("__"):
raise ValueError("cycler strings with dunders are forbidden")
self.generic_visit(node)
def validate_cycler(s):
"""Return a Cycler object from a string repr or the object itself."""
if isinstance(s, str):
# TODO: We might want to rethink this...
# While I think I have it quite locked down, it is execution of
# arbitrary code without sanitation.
# Combine this with the possibility that rcparams might come from the
# internet (future plans), this could be downright dangerous.
# I locked it down by only having the 'cycler()' function available.
# UPDATE: Partly plugging a security hole.
# I really should have read this:
# https://nedbatchelder.com/blog/201206/eval_really_is_dangerous.html
# We should replace this eval with a combo of PyParsing and
# ast.literal_eval()
try:
_DunderChecker().visit(ast.parse(s))
s = eval(s, {'cycler': cycler, '__builtins__': {}})
except BaseException as e:
raise ValueError("'%s' is not a valid cycler construction: %s" %
(s, e)) from e
# Should make sure what comes from the above eval()
# is a Cycler object.
if isinstance(s, Cycler):
cycler_inst = s
else:
raise ValueError("object was not a string or Cycler instance: %s" % s)
unknowns = cycler_inst.keys - (set(_prop_validators) | set(_prop_aliases))
if unknowns:
raise ValueError("Unknown artist properties: %s" % unknowns)
# Not a full validation, but it'll at least normalize property names
# A fuller validation would require v0.10 of cycler.
checker = set()
for prop in cycler_inst.keys:
norm_prop = _prop_aliases.get(prop, prop)
if norm_prop != prop and norm_prop in cycler_inst.keys:
raise ValueError(f"Cannot specify both {norm_prop!r} and alias "
f"{prop!r} in the same prop_cycle")
if norm_prop in checker:
raise ValueError(f"Another property was already aliased to "
f"{norm_prop!r}. Collision normalizing {prop!r}.")
checker.update([norm_prop])
# This is just an extra-careful check, just in case there is some
# edge-case I haven't thought of.
assert len(checker) == len(cycler_inst.keys)
# Now, it should be safe to mutate this cycler
for prop in cycler_inst.keys:
norm_prop = _prop_aliases.get(prop, prop)
cycler_inst.change_key(prop, norm_prop)
for key, vals in cycler_inst.by_key().items():
_prop_validators[key](vals)
return cycler_inst
def validate_hist_bins(s):
valid_strs = ["auto", "sturges", "fd", "doane", "scott", "rice", "sqrt"]
if isinstance(s, str) and s in valid_strs:
return s
try:
return int(s)
except (TypeError, ValueError):
pass
try:
return validate_floatlist(s)
except ValueError:
pass
raise ValueError("'hist.bins' must be one of {}, an int or"
" a sequence of floats".format(valid_strs))
class _ignorecase(list):
"""A marker class indicating that a list-of-str is case-insensitive."""
def _convert_validator_spec(key, conv):
if isinstance(conv, list):
ignorecase = isinstance(conv, _ignorecase)
return ValidateInStrings(key, conv, ignorecase=ignorecase)
else:
return conv
# Mapping of rcParams to validators.
# Converters given as lists or _ignorecase are converted to ValidateInStrings
# immediately below.
# The rcParams defaults are defined in matplotlibrc.template, which gets copied
# to matplotlib/mpl-data/matplotlibrc by the setup script.
_validators = {
"backend": validate_backend,
"backend_fallback": validate_bool,
"toolbar": _validate_toolbar,
"interactive": validate_bool,
"timezone": validate_string,
"webagg.port": validate_int,
"webagg.address": validate_string,
"webagg.open_in_browser": validate_bool,
"webagg.port_retries": validate_int,
# line props
"lines.linewidth": validate_float, # line width in points
"lines.linestyle": _validate_linestyle, # solid line
"lines.color": validate_color, # first color in color cycle
"lines.marker": validate_string, # marker name
"lines.markerfacecolor": validate_color_or_auto, # default color
"lines.markeredgecolor": validate_color_or_auto, # default color
"lines.markeredgewidth": validate_float,
"lines.markersize": validate_float, # markersize, in points
"lines.antialiased": validate_bool, # antialiased (no jaggies)
"lines.dash_joinstyle": JoinStyle,
"lines.solid_joinstyle": JoinStyle,
"lines.dash_capstyle": CapStyle,
"lines.solid_capstyle": CapStyle,
"lines.dashed_pattern": validate_floatlist,
"lines.dashdot_pattern": validate_floatlist,
"lines.dotted_pattern": validate_floatlist,
"lines.scale_dashes": validate_bool,
# marker props
"markers.fillstyle": validate_fillstyle,
## pcolor(mesh) props:
"pcolor.shading": ["auto", "flat", "nearest", "gouraud"],
"pcolormesh.snap": validate_bool,
## patch props
"patch.linewidth": validate_float, # line width in points
"patch.edgecolor": validate_color,
"patch.force_edgecolor": validate_bool,
"patch.facecolor": validate_color, # first color in cycle
"patch.antialiased": validate_bool, # antialiased (no jaggies)
## hatch props
"hatch.color": validate_color,
"hatch.linewidth": validate_float,
## Histogram properties
"hist.bins": validate_hist_bins,
## Boxplot properties
"boxplot.notch": validate_bool,
"boxplot.vertical": validate_bool,
"boxplot.whiskers": validate_whiskers,
"boxplot.bootstrap": validate_int_or_None,
"boxplot.patchartist": validate_bool,
"boxplot.showmeans": validate_bool,
"boxplot.showcaps": validate_bool,
"boxplot.showbox": validate_bool,
"boxplot.showfliers": validate_bool,
"boxplot.meanline": validate_bool,
"boxplot.flierprops.color": validate_color,
"boxplot.flierprops.marker": validate_string,
"boxplot.flierprops.markerfacecolor": validate_color_or_auto,
"boxplot.flierprops.markeredgecolor": validate_color,
"boxplot.flierprops.markeredgewidth": validate_float,
"boxplot.flierprops.markersize": validate_float,
"boxplot.flierprops.linestyle": _validate_linestyle,
"boxplot.flierprops.linewidth": validate_float,
"boxplot.boxprops.color": validate_color,
"boxplot.boxprops.linewidth": validate_float,
"boxplot.boxprops.linestyle": _validate_linestyle,
"boxplot.whiskerprops.color": validate_color,
"boxplot.whiskerprops.linewidth": validate_float,
"boxplot.whiskerprops.linestyle": _validate_linestyle,
"boxplot.capprops.color": validate_color,
"boxplot.capprops.linewidth": validate_float,
"boxplot.capprops.linestyle": _validate_linestyle,
"boxplot.medianprops.color": validate_color,
"boxplot.medianprops.linewidth": validate_float,
"boxplot.medianprops.linestyle": _validate_linestyle,
"boxplot.meanprops.color": validate_color,
"boxplot.meanprops.marker": validate_string,
"boxplot.meanprops.markerfacecolor": validate_color,
"boxplot.meanprops.markeredgecolor": validate_color,
"boxplot.meanprops.markersize": validate_float,
"boxplot.meanprops.linestyle": _validate_linestyle,
"boxplot.meanprops.linewidth": validate_float,
## font props
"font.family": validate_stringlist, # used by text object
"font.style": validate_string,
"font.variant": validate_string,
"font.stretch": validate_fontstretch,
"font.weight": validate_fontweight,
"font.size": validate_float, # Base font size in points
"font.serif": validate_stringlist,
"font.sans-serif": validate_stringlist,
"font.cursive": validate_stringlist,
"font.fantasy": validate_stringlist,
"font.monospace": validate_stringlist,
# text props
"text.color": validate_color,
"text.usetex": validate_bool,
"text.latex.preamble": validate_string,
"text.hinting": ["default", "no_autohint", "force_autohint",
"no_hinting", "auto", "native", "either", "none"],
"text.hinting_factor": validate_int,
"text.kerning_factor": validate_int,
"text.antialiased": validate_bool,
"text.parse_math": validate_bool,
"mathtext.cal": validate_font_properties,
"mathtext.rm": validate_font_properties,
"mathtext.tt": validate_font_properties,
"mathtext.it": validate_font_properties,
"mathtext.bf": validate_font_properties,
"mathtext.sf": validate_font_properties,
"mathtext.fontset": ["dejavusans", "dejavuserif", "cm", "stix",
"stixsans", "custom"],
"mathtext.default": ["rm", "cal", "it", "tt", "sf", "bf", "default",
"bb", "frak", "scr", "regular"],
"mathtext.fallback": _validate_mathtext_fallback,
"image.aspect": validate_aspect, # equal, auto, a number
"image.interpolation": validate_string,
"image.cmap": _validate_cmap, # gray, jet, etc.
"image.lut": validate_int, # lookup table
"image.origin": ["upper", "lower"],
"image.resample": validate_bool,
# Specify whether vector graphics backends will combine all images on a
# set of axes into a single composite image
"image.composite_image": validate_bool,
# contour props
"contour.negative_linestyle": _validate_linestyle,
"contour.corner_mask": validate_bool,
"contour.linewidth": validate_float_or_None,
# errorbar props
"errorbar.capsize": validate_float,
# axis props
# alignment of x/y axis title
"xaxis.labellocation": ["left", "center", "right"],
"yaxis.labellocation": ["bottom", "center", "top"],
# axes props
"axes.axisbelow": validate_axisbelow,
"axes.facecolor": validate_color, # background color
"axes.edgecolor": validate_color, # edge color
"axes.linewidth": validate_float, # edge linewidth
"axes.spines.left": validate_bool, # Set visibility of axes spines,
"axes.spines.right": validate_bool, # i.e., the lines around the chart
"axes.spines.bottom": validate_bool, # denoting data boundary.
"axes.spines.top": validate_bool,
"axes.titlesize": validate_fontsize, # axes title fontsize
"axes.titlelocation": ["left", "center", "right"], # axes title alignment
"axes.titleweight": validate_fontweight, # axes title font weight
"axes.titlecolor": validate_color_or_auto, # axes title font color
# title location, axes units, None means auto
"axes.titley": validate_float_or_None,
# pad from axes top decoration to title in points
"axes.titlepad": validate_float,
"axes.grid": validate_bool, # display grid or not
"axes.grid.which": ["minor", "both", "major"], # which grids are drawn
"axes.grid.axis": ["x", "y", "both"], # grid type
"axes.labelsize": validate_fontsize, # fontsize of x & y labels
"axes.labelpad": validate_float, # space between label and axis
"axes.labelweight": validate_fontweight, # fontsize of x & y labels
"axes.labelcolor": validate_color, # color of axis label
# use scientific notation if log10 of the axis range is smaller than the
# first or larger than the second
"axes.formatter.limits": _listify_validator(validate_int, n=2),