本文整理汇总了Python中matplotlib.backend_bases方法的典型用法代码示例。如果您正苦于以下问题：Python matplotlib.backend_bases方法的具体用法？Python matplotlib.backend_bases怎么用？Python matplotlib.backend_bases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matplotlib的用法示例。
在下文中一共展示了matplotlib.backend_bases方法的13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: new_timer
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import backend_bases [as 别名]
def new_timer(self, *args, **kwargs):
"""
Creates a new backend-specific subclass of
:class:`backend_bases.Timer`. This is useful for getting
periodic events through the backend's native event
loop. Implemented only for backends with GUIs.
optional arguments:
*interval*
Timer interval in milliseconds
*callbacks*
Sequence of (func, args, kwargs) where func(*args, **kwargs)
will be executed by the timer every *interval*.
"""
return TimerQT(*args, **kwargs) 示例2: new_timer
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import backend_bases [as 别名]
def new_timer(self, *args, **kwargs):
"""
Creates a new backend-specific subclass of
:class:`backend_bases.Timer`. This is useful for getting
periodic events through the backend's native event
loop. Implemented only for backends with GUIs.
Other Parameters
----------------
interval : scalar
Timer interval in milliseconds
callbacks : list
Sequence of (func, args, kwargs) where ``func(*args, **kwargs)``
will be executed by the timer every *interval*.
"""
return TimerQT(*args, **kwargs) 示例3: new_timer
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import backend_bases [as 别名]
def new_timer(self, *args, **kwargs):
"""
Creates a new backend-specific subclass of
:class:`backend_bases.Timer`. This is useful for getting periodic
events through the backend's native event loop. Implemented only
for backends with GUIs.
Other Parameters
----------------
interval : scalar
Timer interval in milliseconds
callbacks : list
Sequence of (func, args, kwargs) where ``func(*args, **kwargs)``
will be executed by the timer every *interval*.
"""
return TimerWx(*args, **kwargs) 示例4: new_timer
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import backend_bases [as 别名]
def new_timer(self, *args, **kwargs):
"""
Creates a new backend-specific subclass of :class:`backend_bases.Timer`.
This is useful for getting periodic events through the backend's native
event loop. Implemented only for backends with GUIs.
Other Parameters
----------------
interval : scalar
Timer interval in milliseconds
callbacks : list
Sequence of (func, args, kwargs) where ``func(*args, **kwargs)``
will be executed by the timer every *interval*.
"""
return TimerTk(self._tkcanvas, *args, **kwargs) 示例5: new_timer
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import backend_bases [as 别名]
def new_timer(self, *args, **kwargs):
"""
Creates a new backend-specific subclass of
:class:`backend_bases.Timer`. This is useful for getting
periodic events through the backend's native event
loop. Implemented only for backends with GUIs.
optional arguments:
*interval*
Timer interval in milliseconds
*callbacks*
Sequence of (func, args, kwargs) where func(*args, **kwargs)
will be executed by the timer every *interval*.
"""
return TimerQT(*args, **kwargs) 示例6: new_timer
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import backend_bases [as 别名]
def new_timer(self, *args, **kwargs):
"""
Creates a new backend-specific subclass of
:class:`backend_bases.Timer`. This is useful for getting periodic
events through the backend's native event loop. Implemented only
for backends with GUIs.
Other Parameters
----------------
interval : scalar
Timer interval in milliseconds
callbacks : list
Sequence of (func, args, kwargs) where ``func(*args, **kwargs)``
will be executed by the timer every *interval*.
"""
return TimerWx(self, *args, **kwargs) 示例7: new_timer
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import backend_bases [as 别名]
def new_timer(self, *args, **kwargs):
"""
Creates a new backend-specific subclass of :class:`backend_bases.Timer`.
This is useful for getting periodic events through the backend's native
event loop. Implemented only for backends with GUIs.
optional arguments:
*interval*
Timer interval in milliseconds
*callbacks*
Sequence of (func, args, kwargs) where func(*args, **kwargs) will
be executed by the timer every *interval*.
"""
return TimerKivy(*args, **kwargs) 示例8: new_timer
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import backend_bases [as 别名]
def new_timer(self, *args, **kwargs):
"""
Creates a new backend-specific subclass of :class:`backend_bases.Timer`.
This is useful for getting periodic events through the backend's native
event loop. Implemented only for backends with GUIs.
optional arguments:
*interval*
Timer interval in milliseconds
*callbacks*
Sequence of (func, args, kwargs) where func(*args, **kwargs) will
be executed by the timer every *interval*.
"""
return TimerTk(self._tkcanvas, *args, **kwargs) 示例9: new_timer
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import backend_bases [as 别名]
def new_timer(self, *args, **kwargs):
"""
Creates a new backend-specific subclass of :class:`backend_bases.Timer`.
This is useful for getting periodic events through the backend's native
event loop. Implemented only for backends with GUIs.
optional arguments:
*interval*
Timer interval in milliseconds
*callbacks*
Sequence of (func, args, kwargs) where func(*args, **kwargs) will
be executed by the timer every *interval*.
"""
return TimerGTK(*args, **kwargs) 示例10: new_timer
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import backend_bases [as 别名]
def new_timer(self, *args, **kwargs):
"""
Creates a new backend-specific subclass of :class:`backend_bases.Timer`.
This is useful for getting periodic events through the backend's native
event loop. Implemented only for backends with GUIs.
optional arguments:
*interval*
Timer interval in milliseconds
*callbacks*
Sequence of (func, args, kwargs) where func(*args, **kwargs) will
be executed by the timer every *interval*.
"""
return TimerGTK3(*args, **kwargs) 示例11: new_timer
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import backend_bases [as 别名]
def new_timer(self, *args, **kwargs):
"""
Creates a new backend-specific subclass of :class:`backend_bases.Timer`.
This is useful for getting periodic events through the backend's native
event loop. Implemented only for backends with GUIs.
optional arguments:
*interval*
Timer interval in milliseconds
*callbacks*
Sequence of (func, args, kwargs) where func(*args, **kwargs) will
be executed by the timer every *interval*.
"""
return TimerWx(self, *args, **kwargs) 示例12: _print_bitmap
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import backend_bases [as 别名]
def _print_bitmap(self, filename, *args, **kwargs):
# In backend_bases.py, print_figure changes the dpi of the figure.
# But since we are essentially redrawing the picture, we need the
# original dpi. Pick it up from the renderer.
dpi = kwargs['dpi']
old_dpi = self.figure.dpi
self.figure.dpi = self.renderer.dpi
width, height = self.figure.get_size_inches()
width, height = width*dpi, height*dpi
filename = unicode(filename)
self.write_bitmap(filename, width, height, dpi)
self.figure.dpi = old_dpi 示例13: new_timer
# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import backend_bases [as 别名]
def new_timer(self, *args, **kwargs):
"""
Creates a new backend-specific subclass of :class:`backend_bases.Timer`.
This is useful for getting periodic events through the backend's native
event loop. Implemented only for backends with GUIs.
optional arguments:
*interval*
Timer interval in milliseconds
*callbacks*
Sequence of (func, args, kwargs) where func(*args, **kwargs) will
be executed by the timer every *interval*.
"""
return TimerMac(*args, **kwargs)