Hi Janwillem, On Tue, Jan 7, 2014 at 3:04 AM, Janwillem van Dijk <[email protected]> wrote: > I have a SymPy script with a.o. > > f_mean = lambdify([mu, sigma], mean, modules='numpy') > > > where mean is a function of mu and sigma and mu and sigma are both arrays > > mu = symbols('mu_0:%d' % n, real=True, bounded=True) > > sigma = symbols('sigma_0:%d' % n, positive=True, real=True, bounded=True) > > > Under Python 2.7.5+ SymPy 0.12.0 I can use: > > y = f_mean(x_n, ux_n) > > returning y as a numpy array of size n when x_n and ux_n are both numpy > arrays of size n. > > However, with Python 3.3.2+ and SymPy 0.7.4.1-git I get (for n=5): > > y = f_mean(x_n, ux_n) > TypeError: <lambda>() missing 10 required positional arguments: 'mu_2', > 'mu_3', 'mu_4', 'mu_5', 'sigma_0', 'sigma_1', 'sigma_2', 'sigma_3', > 'sigma_4', and 'sigma_5' > > > Which is similar to what I got in Python 2.7 before I added the > modules=numpy argument > > All this on ubuntu 13.10 > > > Have I missed something in the docs or did I stumble on a not yet > implemented feature? > > Any help very welcome.heers,
Would you mind sending the whole script? So that I can debug it. You can post it here for example: https://gist.github.com/ Ondrej -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/sympy. For more options, visit https://groups.google.com/groups/opt_out.
