I use lambdify(....) a lot, but always like this:
x = sympy.symbols('x')
expr = symy.S(10.) * sympy.sqrt(x)
expr_lam = sympy.lambdify([x], expr)
a = expr_lam(10.)
This seems to work for me.
On Wed 17. Aug 2022 at 20:38, 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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Best regards,
Peter Stahlecker
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