本文整理汇总了Python中matplotlib.backend_bases._Backend方法的典型用法代码示例。如果您正苦于以下问题：Python backend_bases._Backend方法的具体用法？Python backend_bases._Backend怎么用？Python backend_bases._Backend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.backend_bases的用法示例。
在下文中一共展示了backend_bases._Backend方法的1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: pylab_setup
# 需要导入模块: from matplotlib import backend_bases [as 别名]
# 或者: from matplotlib.backend_bases import _Backend [as 别名]
def pylab_setup(name=None):
"""
Return new_figure_manager, draw_if_interactive and show for pyplot.
This provides the backend-specific functions that are used by pyplot to
abstract away the difference between backends.
Parameters
----------
name : str, optional
The name of the backend to use. If `None`, falls back to
``matplotlib.get_backend()`` (which return :rc:`backend`).
Returns
-------
backend_mod : module
The module which contains the backend of choice
new_figure_manager : function
Create a new figure manager (roughly maps to GUI window)
draw_if_interactive : function
Redraw the current figure if pyplot is interactive
show : function
Show (and possibly block) any unshown figures.
"""
# Import the requested backend into a generic module object.
if name is None:
name = matplotlib.get_backend()
backend_name = (name[9:] if name.startswith("module://")
else "matplotlib.backends.backend_{}".format(name.lower()))
backend_mod = importlib.import_module(backend_name)
# Create a local Backend class whose body corresponds to the contents of
# the backend module. This allows the Backend class to fill in the missing
# methods through inheritance.
Backend = type("Backend", (_Backend,), vars(backend_mod))
# Need to keep a global reference to the backend for compatibility reasons.
# See https://github.com/matplotlib/matplotlib/issues/6092
global backend
backend = name
_log.debug('backend %s version %s', name, Backend.backend_version)
return (backend_mod,
Backend.new_figure_manager,
Backend.draw_if_interactive,
Backend.show)