This isn't the case in your example code, but sometimes what can happen is
that you have a symbol x with some assumptions, and if you use
lambdify('x', ...) it will create a symbol x with no assumptions, which
SymPy will treat as a different symbol. The best thing to do is to use
x = symbols('x', ...)
and always use x for the symbol, instead of the string 'x'.
Aaron Meurer
On Wed, Aug 17, 2022 at 7:38 AM Zohreh Karimzadeh <[email protected]>
wrote:
> Dear sympy group
> Thanks for your sympy.
>
> I am working on a code, after creating my big expression using sympy it
> includes sqrt.
>
> I need to lambdify my expression to make it consistent with numpy and
> other suffs.
>
> expr =10 * sp.sqrt(sp.symbols('x'))
>
> model_func = sp.lambdify('x', expr)
>
> But I found my expression after lambdifying becomes somethings like this:
>
> 10*sqrt(x)
>
> while I need :
>
> 10*numpy.sqrt(x)
>
> Could possibly let me know how get sqrt to work with numpy?
>
> Regards,
>
> Zohreh
>
>
>
>
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