在python lmfit中设置包含自变量的参数表达式 [英] Set parameter expression that contains the independent variable in python lmfit

问题描述

我有参数未知的参数字典(来自其他函数)，我遍历该字典将其组件添加到lmfit模型中，如下所示:

I have dictionary of parameters with unknown number of those parameters (comes from other function), I looped through the dictionary to add its components to an lmfit models as follows:

from lmfit import Parameters
fit_params = Parameters()
for params_name in dict.keys():
    current_param = dict[param_name]
    fit_params.add(param_name)

我想通过以下方式向每个参数添加表达式

I wanted to add expression to each parameter with

fit_params[param_name].set(expr = 'some_expression_in_function_of_x')

其中x是我的自变量，在运行程序时出现此错误:

where x is my independent variable, when running the program I have this error:

NameError
Traceback (most recent call last):
File "D:\Python\ThinPhy_File_By_File\test_code.py", line 52, in <module>
<_ast.Module object at 0x00000145F661C4E0>
              ^^^
name 'x' is not defined
File "C:\Python36\lib\site-packages\lmfit\parameter.py", line 548, in __repr__
sval = repr(self._getval())
File "C:\Python36\lib\site-packages\lmfit\parameter.py", line 639, in _getval
check_ast_errors(self._expr_eval)
File "C:\Python36\lib\site-packages\lmfit\parameter.py", line 21, in check_ast_errors
expr_eval.raise_exception(None)
File "C:\Python36\lib\site-packages\lmfit\asteval.py", line 167, in raise_exception
raise exc(self.error_msg)
NameError: name 'x' is not defined in expr='<_ast.Module object at 0x00000145F661C4E0>'

有什么方法可以定义一个包含模型独立变量的表达式?或如何定义它.

is there any way to define an expression that contains the model independent variable? or how to define it.

推荐答案

首先，dict是内置函数，将其用作变量名可能会造成破坏.

First, dict is a builtin and using it for a variable name can cause havoc.

要在表达式中使用x，必须像在

To use your x in an expression, you would have to add your x to the symbol table used to evaluate the expression, as with

fit_params = Parameters()
fit_params._asteval.symtable['x'] = x

但是:您应该小心使用ndarrays.它可以工作，但是lmfit中的参数通常是浮点数.

But: You should be careful doing this with ndarrays. It can work, but Parameters in lmfit are generally meant to be floats.

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