本文整理汇总了Python中cbook.Stack.bubble方法的典型用法代码示例。如果您正苦于以下问题：Python Stack.bubble方法的具体用法？Python Stack.bubble怎么用？Python Stack.bubble使用的例子？那么恭喜您, 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cbook.Stack的用法示例。
在下文中一共展示了Stack.bubble方法的4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: bubble
# 需要导入模块: from cbook import Stack [as 别名]
# 或者: from cbook.Stack import bubble [as 别名]
def bubble(self, a):
return Stack.bubble(self, self._entry_from_axes(a))示例2: Figure
# 需要导入模块: from cbook import Stack [as 别名]
# 或者: from cbook.Stack import bubble [as 别名]
#.........这里部分代码省略.........
return l
def text(self, x, y, s, *args, **kwargs):
"""
Add text to figure at location x,y (relative 0-1 coords) See
the help for Axis text for the meaning of the other arguments
"""
override = _process_text_args({}, *args, **kwargs)
t = Text(
x=x, y=y, text=s,
)
t.update(override)
self._set_artist_props(t)
self.texts.append(t)
return t
def _set_artist_props(self, a):
if a!= self:
a.set_figure(self)
a.set_transform(self.transFigure)
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
"""
ax = self._axstack()
if ax is not None: return ax
return self.add_subplot(111, **kwargs)
def sca(self, a):
'Set the current axes to be a and return a'
self._axstack.bubble(a)
for func in self._axobservers: func(self)
return a
def add_axobserver(self, func):
'whenever the axes state change, func(self) will be called'
self._axobservers.append(func)
def savefig(self, *args, **kwargs):
"""
SAVEFIG(fname, dpi=None, facecolor='w', edgecolor='w',
orientation='portrait', papertype=None, format=None):
Save the current figure.
fname - the filename to save the current figure to. The
output formats supported depend on the backend being
used. and are deduced by the extension to fname.
Possibilities are eps, jpeg, pdf, png, ps, svg. fname
can also be a file or file-like object - cairo backend
only. dpi - is the resolution in dots per inch. If
None it will default to the value savefig.dpi in the
matplotlibrc file
facecolor and edgecolor are the colors of the figure rectangle
orientation is either 'landscape' or 'portrait' - not supported on
all backends; currently only on postscript output
papertype is is one of 'letter', 'legal', 'executive', 'ledger', 'a0'
through 'a10', or 'b0' through 'b10' - only supported for postscript
output示例3: bubble
# 需要导入模块: from cbook import Stack [as 别名]
# 或者: from cbook.Stack import bubble [as 别名]
def bubble(self, a):
"""
Move the given axes, which must already exist in the
stack, to the top.
"""
return Stack.bubble(self, self._entry_from_axes(a))示例4: Figure
# 需要导入模块: from cbook import Stack [as 别名]
# 或者: from cbook.Stack import bubble [as 别名]
#.........这里部分代码省略.........
%(Text)s
"""
override = _process_text_args({}, *args, **kwargs)
t = Text(
x=x, y=y, text=s,
)
t.update(override)
self._set_artist_props(t)
self.texts.append(t)
return t
text.__doc__ = dedent(text.__doc__) % artist.kwdocd
def _set_artist_props(self, a):
if a!= self:
a.set_figure(self)
a.set_transform(self.transFigure)
def gca(self, **kwargs):
"""
Return the current axes, creating one if necessary
The following kwargs are supported
%(Axes)s
"""
ax = self._axstack()
if ax is not None: return ax
return self.add_subplot(111, **kwargs)
gca.__doc__ = dedent(gca.__doc__) % artist.kwdocd
def sca(self, a):
'Set the current axes to be a and return a'
self._axstack.bubble(a)
for func in self._axobservers: func(self)
return a
def add_axobserver(self, func):
'whenever the axes state change, func(self) will be called'
self._axobservers.append(func)
def savefig(self, *args, **kwargs):
"""
SAVEFIG(fname, dpi=None, facecolor='w', edgecolor='w',
orientation='portrait', papertype=None, format=None):
Save the current figure.
fname - the filename to save the current figure to. The
output formats supported depend on the backend being
used. and are deduced by the extension to fname.
Possibilities are eps, jpeg, pdf, png, ps, svg. fname
can also be a file or file-like object - cairo backend
only.
dpi - is the resolution in dots per inch. If
None it will default to the value savefig.dpi in the
matplotlibrc file
facecolor and edgecolor are the colors of the figure rectangle
orientation is either 'landscape' or 'portrait' - not supported on
all backends; currently only on postscript output
papertype is is one of 'letter', 'legal', 'executive', 'ledger', 'a0'