Fast numerical plot command that always works?

savecancel

I typically encounter expressions of the type

 C = -I*sqrt(pi)*x*e^(-1/4*x^2)
 Abs = abs(C)

Sage's built-in plot commands fails:

verbose 0 (4101: plot.py, generate_plot_points) WARNING: When plotting,
failed to evaluate function at 200 points.
verbose 0 (4101: plot.py, generate_plot_points) Last error message:
'unable to simplify to float approximation'

We can evaluate the expression numerically:

X = map(lambda x: x/10, range(-100,100))
Y = map(lambda xx: Abs.subs(x=xx).n(), X)
Yreal = map(real, Y)
Yimag = map(imag, Y)
list_plot(zip(X,Yreal)) + list_plot(zip(X,Yimag),color='red')

This works, but looks like a dirty workaround. Should I use numpy arrays and fast_callable? Or use fast_callable() without numpy?

Here is an example worksheet.