本文整理汇总了Python中data_store.Relax_data_store.numeric_only方法的典型用法代码示例。如果您正苦于以下问题：Python Relax_data_store.numeric_only方法的具体用法？Python Relax_data_store.numeric_only怎么用？Python Relax_data_store.numeric_only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data_store.Relax_data_store的用法示例。
在下文中一共展示了Relax_data_store.numeric_only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: Relax_data_store
# 需要导入模块: from data_store import Relax_data_store [as 别名]
# 或者: from data_store.Relax_data_store import numeric_only [as 别名]
from data_store import Relax_data_store; ds = Relax_data_store()
from status import Status; status = Status()
# The dispersion models.
MODELS = ['LM63']
if hasattr(ds, 'models'):
MODELS = ds.models
# The temporary directory, if needed.
if not hasattr(ds, 'tmpdir'):
ds.tmpdir = 'temp'
# The numeric flag.
if not hasattr(ds, 'numeric_only'):
ds.numeric_only = False
# The grid search size (the number of increments per dimension).
GRID_INC = 6
# The number of Monte Carlo simulations to be used for error analysis at the end of the analysis.
MC_NUM = 3
# Create the data pipe.
pipe_name = 'base pipe'
pipe_bundle = 'relax_disp'
pipe.create(pipe_name=pipe_name, bundle=pipe_bundle, pipe_type='relax_disp')
# The path to the data files.