本文整理汇总了Python中matplotlib.axes.Axes.axvspan方法的典型用法代码示例。如果您正苦于以下问题：Python Axes.axvspan方法的具体用法？Python Axes.axvspan怎么用？Python Axes.axvspan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.axes.Axes的用法示例。
在下文中一共展示了Axes.axvspan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: axvspan
# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import axvspan [as 别名]
def axvspan(xmin, xmax, ymin=0, ymax=1, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.axvspan(xmin, xmax, ymin=ymin, ymax=ymax, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost 示例2: axvspan
# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import axvspan [as 别名]
def axvspan(xmin, xmax, ymin=0, ymax=1, hold=None, **kwargs):
ax = gca()
# Deprecated: allow callers to override the hold state
# by passing hold=True|False
washold = ax._hold
if hold is not None:
ax._hold = hold
from matplotlib.cbook import mplDeprecation
warnings.warn("The 'hold' keyword argument is deprecated since 2.0.",
mplDeprecation)
try:
ret = ax.axvspan(xmin, xmax, ymin=ymin, ymax=ymax, **kwargs)
finally:
ax._hold = washold
return ret
# Autogenerated by boilerplate.py. Do not edit as changes will be lost. 示例3: axvspan
# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import axvspan [as 别名]
def axvspan(xmin, xmax, ymin=0, ymax=1, **kwargs):
return gca().axvspan(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, **kwargs)
# Autogenerated by boilerplate.py. Do not edit as changes will be lost. 示例4: axvspan
# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import axvspan [as 别名]
def axvspan(xmin, xmax, ymin=0, ymax=1, **kwargs):
return gca().axvspan(xmin, xmax, ymin=ymin, ymax=ymax, **kwargs)
# Autogenerated by boilerplate.py. Do not edit as changes will be lost.