本文整理汇总了Python中matplotlib.axes.Axes.errorbar方法的典型用法代码示例。如果您正苦于以下问题：Python Axes.errorbar方法的具体用法？Python Axes.errorbar怎么用？Python Axes.errorbar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.errorbar方法的3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: errorbar
# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import errorbar [as 别名]
def errorbar(self, *args, **kwargs):
"""
If the **mantid** projection is chosen, it can be
used the same as :py:meth:`matplotlib.axes.Axes.errorbar` for arrays,
or it can be used to plot :class:`mantid.api.MatrixWorkspace`
or :class:`mantid.api.IMDHistoWorkspace`. You can have something like::
import matplotlib.pyplot as plt
from mantid import plots
...
fig, ax = plt.subplots(subplot_kw={'projection':'mantid'})
ax.errorbar(workspace,'rs',specNum=1) #for workspaces
ax.errorbar(x,y,yerr,'bo') #for arrays
fig.show()
For keywords related to workspaces, see :func:`plotfunctions.errorbar`
"""
if helperfunctions.validate_args(*args):
logger.debug('using plotfunctions')
def _data_update(artists, workspace):
# errorbar with workspaces can only return a single container
container_orig = artists[0]
# It is not possible to simply reset the error bars so
# we have to plot new lines but ensure we don't reorder them on the plot!
orig_idx = self.containers.index(container_orig)
container_orig.remove()
# The container does not remove itself from the containers list
# but protect this just in case matplotlib starts doing this
try:
self.containers.remove(container_orig)
except ValueError:
pass
# this gets pushed back onto the containers list
container_new = plotfunctions.errorbar(self, workspace, **kwargs)
self.containers.insert(orig_idx, container_new)
self.containers.pop()
# update line properties to match original
orig_flat, new_flat = cbook.flatten(container_orig), cbook.flatten(container_new)
for artist_orig, artist_new in zip(orig_flat, new_flat):
artist_new.update_from(artist_orig)
# ax.relim does not support collections...
self._update_line_limits(container_new[0])
self.autoscale()
return container_new
workspace = args[0]
spec_num = self._get_spec_number(workspace, kwargs)
return self.track_workspace_artist(workspace,
plotfunctions.errorbar(self, *args, **kwargs),
_data_update, spec_num=spec_num)
else:
return Axes.errorbar(self, *args, **kwargs)示例2: errorbar
# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import errorbar [as 别名]
def errorbar(self, *args, **kwargs):
'''
If the **mantid** projection is chosen, it can be
used the same as :py:meth:`matplotlib.axes.Axes.errorbar` for arrays,
or it can be used to plot :class:`mantid.api.MatrixWorkspace`
or :class:`mantid.api.IMDHistoWorkspace`. You can have something like::
import matplotlib.pyplot as plt
from mantid import plots
...
fig, ax = plt.subplots(subplot_kw={'projection':'mantid'})
ax.errorbar(workspace,'rs',specNum=1) #for workspaces
ax.errorbar(x,y,yerr,'bo') #for arrays
fig.show()
For keywords related to workspaces, see :func:`mantid.plots.plotfunctions.errorbar`
'''
if mantid.plots.helperfunctions.validate_args(*args):
mantid.kernel.logger.debug('using mantid.plots.plotfunctions')
return mantid.plots.plotfunctions.errorbar(self, *args, **kwargs)
else:
return Axes.errorbar(self, *args, **kwargs)示例3: errorbar
# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import errorbar [as 别名]
def errorbar(self, *args, **kwargs):
from mslice.cli.plotfunctions import errorbar
if is_cut(*args):
return errorbar(self, *args, **kwargs)
else:
return Axes.errorbar(self, *args, **kwargs)