> > Secondly, I don't understand how curve_fit knows the number of arguments
> > that test_func takes.
>
> Part of the dynamic nature of Python is that a function carries with it
> the number of parameters (as just one among many such properties). We
> call it "introspection" when we examine s
This is a Python forum, but what you are asking is not a Python
question. You might find a better source of answers on a scipy specific
forum.
But here's my attempt at answers:
On 06/19/2018 08:26 AM, sharan.basa...@gmail.com wrote:
Hi All,
I am working out an exercise on curve_fit functi
Hi All,
I am working out an exercise on curve_fit function available scipy package.
While I understand in general about curve_fit, I am unable to understand the
following:
params, params_covariance = optimize.curve_fit(test_func, x_data, y_data,
p0
