本文整理汇总了Python中matplotlib.style方法的典型用法代码示例。如果您正苦于以下问题:Python matplotlib.style方法的具体用法?Python matplotlib.style怎么用?Python matplotlib.style使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib
的用法示例。
在下文中一共展示了matplotlib.style方法的10个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: ticklabel_format
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import style [as 别名]
def ticklabel_format(
*, axis='both', style='', scilimits=None, useOffset=None,
useLocale=None, useMathText=None):
return gca().ticklabel_format(
axis=axis, style=style, scilimits=scilimits,
useOffset=useOffset, useLocale=useLocale,
useMathText=useMathText)
# Autogenerated by boilerplate.py. Do not edit as changes will be lost.
示例2: cleanup
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import style [as 别名]
def cleanup(style=None):
"""
A decorator to ensure that any global state is reset before
running a test.
Parameters
----------
style : str, optional
The name of the style to apply.
"""
# If cleanup is used without arguments, `style` will be a callable, and we
# pass it directly to the wrapper generator. If cleanup if called with an
# argument, it is a string naming a style, and the function will be passed
# as an argument to what we return. This is a confusing, but somewhat
# standard, pattern for writing a decorator with optional arguments.
def make_cleanup(func):
if inspect.isgeneratorfunction(func):
@functools.wraps(func)
def wrapped_callable(*args, **kwargs):
with _cleanup_cm(), matplotlib.style.context(style):
yield from func(*args, **kwargs)
else:
@functools.wraps(func)
def wrapped_callable(*args, **kwargs):
with _cleanup_cm(), matplotlib.style.context(style):
func(*args, **kwargs)
return wrapped_callable
if isinstance(style, str):
return make_cleanup
else:
result = make_cleanup(style)
# Default of mpl_test_settings fixture and image_comparison too.
style = '_classic_test'
return result
示例3: __init__
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import style [as 别名]
def __init__(self, baseline_images, extensions, tol,
freetype_version, remove_text, savefig_kwargs, style):
_ImageComparisonBase.__init__(self, tol, remove_text, savefig_kwargs)
self.baseline_images = baseline_images
self.extensions = extensions
self.freetype_version = freetype_version
self.style = style
示例4: setup
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import style [as 别名]
def setup(self):
func = self.func
plt.close('all')
self.setup_class()
try:
matplotlib.style.use(self.style)
matplotlib.testing.set_font_settings_for_testing()
func()
assert len(plt.get_fignums()) == len(self.baseline_images), (
"Test generated {} images but there are {} baseline images"
.format(len(plt.get_fignums()), len(self.baseline_images)))
except:
# Restore original settings before raising errors.
self.teardown_class()
raise
示例5: ticklabel_format
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import style [as 别名]
def ticklabel_format(
*, axis='both', style='', scilimits=None, useOffset=None,
useLocale=None, useMathText=None):
return gca().ticklabel_format(
axis=axis, style=style, scilimits=scilimits,
useOffset=useOffset, useLocale=useLocale,
useMathText=useMathText)
# Autogenerated by boilerplate.py. Do not edit as changes will be lost.
示例6: xkcd
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import style [as 别名]
def xkcd(scale=1, length=100, randomness=2):
"""
Turn on `xkcd <https://xkcd.com/>`_ sketch-style drawing mode.
This will only have effect on things drawn after this function is
called.
For best results, the "Humor Sans" font should be installed: it is
not included with matplotlib.
Parameters
----------
scale : float, optional
The amplitude of the wiggle perpendicular to the source line.
length : float, optional
The length of the wiggle along the line.
randomness : float, optional
The scale factor by which the length is shrunken or expanded.
Notes
-----
This function works by a number of rcParams, so it will probably
override others you have set before.
If you want the effects of this function to be temporary, it can
be used as a context manager, for example::
with plt.xkcd():
# This figure will be in XKCD-style
fig1 = plt.figure()
# ...
# This figure will be in regular style
fig2 = plt.figure()
"""
if rcParams['text.usetex']:
raise RuntimeError(
"xkcd mode is not compatible with text.usetex = True")
from matplotlib import patheffects
return rc_context({
'font.family': ['xkcd', 'Humor Sans', 'Comic Sans MS'],
'font.size': 14.0,
'path.sketch': (scale, length, randomness),
'path.effects': [patheffects.withStroke(linewidth=4, foreground="w")],
'axes.linewidth': 1.5,
'lines.linewidth': 2.0,
'figure.facecolor': 'white',
'grid.linewidth': 0.0,
'axes.grid': False,
'axes.unicode_minus': False,
'axes.edgecolor': 'black',
'xtick.major.size': 8,
'xtick.major.width': 3,
'ytick.major.size': 8,
'ytick.major.width': 3,
})
## Figures ##
示例7: xkcd
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import style [as 别名]
def xkcd(scale=1, length=100, randomness=2):
"""
Turn on `xkcd <https://xkcd.com/>`_ sketch-style drawing mode.
This will only have effect on things drawn after this function is
called.
For best results, the "Humor Sans" font should be installed: it is
not included with matplotlib.
Parameters
----------
scale : float, optional
The amplitude of the wiggle perpendicular to the source line.
length : float, optional
The length of the wiggle along the line.
randomness : float, optional
The scale factor by which the length is shrunken or expanded.
Notes
-----
This function works by a number of rcParams, so it will probably
override others you have set before.
If you want the effects of this function to be temporary, it can
be used as a context manager, for example::
with plt.xkcd():
# This figure will be in XKCD-style
fig1 = plt.figure()
# ...
# This figure will be in regular style
fig2 = plt.figure()
"""
if rcParams['text.usetex']:
raise RuntimeError(
"xkcd mode is not compatible with text.usetex = True")
from matplotlib import patheffects
return rc_context({
'font.family': ['xkcd', 'xkcd Script', 'Humor Sans', 'Comic Sans MS'],
'font.size': 14.0,
'path.sketch': (scale, length, randomness),
'path.effects': [patheffects.withStroke(linewidth=4, foreground="w")],
'axes.linewidth': 1.5,
'lines.linewidth': 2.0,
'figure.facecolor': 'white',
'grid.linewidth': 0.0,
'axes.grid': False,
'axes.unicode_minus': False,
'axes.edgecolor': 'black',
'xtick.major.size': 8,
'xtick.major.width': 3,
'ytick.major.size': 8,
'ytick.major.width': 3,
})
## Figures ##
示例8: xkcd
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import style [as 别名]
def xkcd(scale=1, length=100, randomness=2):
"""
Turns on `xkcd <https://xkcd.com/>`_ sketch-style drawing mode.
This will only have effect on things drawn after this function is
called.
For best results, the "Humor Sans" font should be installed: it is
not included with matplotlib.
Parameters
----------
scale : float, optional
The amplitude of the wiggle perpendicular to the source line.
length : float, optional
The length of the wiggle along the line.
randomness : float, optional
The scale factor by which the length is shrunken or expanded.
Notes
-----
This function works by a number of rcParams, so it will probably
override others you have set before.
If you want the effects of this function to be temporary, it can
be used as a context manager, for example::
with plt.xkcd():
# This figure will be in XKCD-style
fig1 = plt.figure()
# ...
# This figure will be in regular style
fig2 = plt.figure()
"""
if rcParams['text.usetex']:
raise RuntimeError(
"xkcd mode is not compatible with text.usetex = True")
from matplotlib import patheffects
return rc_context({
'font.family': ['xkcd', 'Humor Sans', 'Comic Sans MS'],
'font.size': 14.0,
'path.sketch': (scale, length, randomness),
'path.effects': [patheffects.withStroke(linewidth=4, foreground="w")],
'axes.linewidth': 1.5,
'lines.linewidth': 2.0,
'figure.facecolor': 'white',
'grid.linewidth': 0.0,
'axes.grid': False,
'axes.unicode_minus': False,
'axes.edgecolor': 'black',
'xtick.major.size': 8,
'xtick.major.width': 3,
'ytick.major.size': 8,
'ytick.major.width': 3,
})
## Figures ##
示例9: cleanup
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import style [as 别名]
def cleanup(style=None):
"""
A decorator to ensure that any global state is reset before
running a test.
Parameters
----------
style : str, optional
The name of the style to apply.
"""
# If cleanup is used without arguments, `style` will be a
# callable, and we pass it directly to the wrapper generator. If
# cleanup if called with an argument, it is a string naming a
# style, and the function will be passed as an argument to what we
# return. This is a confusing, but somewhat standard, pattern for
# writing a decorator with optional arguments.
def make_cleanup(func):
if inspect.isgeneratorfunction(func):
@functools.wraps(func)
def wrapped_callable(*args, **kwargs):
original_units_registry = matplotlib.units.registry.copy()
original_settings = mpl.rcParams.copy()
matplotlib.style.use(style)
try:
for yielded in func(*args, **kwargs):
yield yielded
finally:
_do_cleanup(original_units_registry,
original_settings)
else:
@functools.wraps(func)
def wrapped_callable(*args, **kwargs):
original_units_registry = matplotlib.units.registry.copy()
original_settings = mpl.rcParams.copy()
matplotlib.style.use(style)
try:
func(*args, **kwargs)
finally:
_do_cleanup(original_units_registry,
original_settings)
return wrapped_callable
if isinstance(style, six.string_types):
return make_cleanup
else:
result = make_cleanup(style)
# Default of mpl_test_settings fixture and image_comparison too.
style = '_classic_test'
return result
示例10: _pytest_image_comparison
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import style [as 别名]
def _pytest_image_comparison(baseline_images, extensions, tol,
freetype_version, remove_text, savefig_kwargs,
style):
"""
Decorate function with image comparison for pytest.
This function creates a decorator that wraps a figure-generating function
with image comparison code. Pytest can become confused if we change the
signature of the function, so we indirectly pass anything we need via the
`mpl_image_comparison_parameters` fixture and extra markers.
"""
import pytest
extensions = map(_mark_xfail_if_format_is_uncomparable, extensions)
def decorator(func):
# Parameter indirection; see docstring above and comment below.
@pytest.mark.usefixtures('mpl_image_comparison_parameters')
@pytest.mark.parametrize('extension', extensions)
@pytest.mark.baseline_images(baseline_images)
# END Parameter indirection.
@pytest.mark.style(style)
@_checked_on_freetype_version(freetype_version)
@functools.wraps(func)
def wrapper(*args, **kwargs):
__tracebackhide__ = True
img = _ImageComparisonBase(tol=tol, remove_text=remove_text,
savefig_kwargs=savefig_kwargs)
img.delayed_init(func)
matplotlib.testing.set_font_settings_for_testing()
func(*args, **kwargs)
# Parameter indirection:
# This is hacked on via the mpl_image_comparison_parameters fixture
# so that we don't need to modify the function's real signature for
# any parametrization. Modifying the signature is very very tricky
# and likely to confuse pytest.
baseline_images, extension = func.parameters
assert len(plt.get_fignums()) == len(baseline_images), (
"Test generated {} images but there are {} baseline images"
.format(len(plt.get_fignums()), len(baseline_images)))
for idx, baseline in enumerate(baseline_images):
img.compare(idx, baseline, extension)
wrapper.__wrapped__ = func # For Python 2.7.
return _copy_metadata(func, wrapper)
return decorator