Updates:
Status: Started
Labels: NeedsReview
Comment #7 on issue 2155 by asmeurer: lambdify() does not convert complex
quantities properly with the "numpy" option
http://code.google.com/p/sympy/issues/detail?id=2155
See https://github.com/sympy/sympy/pull/479.
Note that there didn't seem to be a precedent for testing numpy
functionality in lambdify(), so I didn't add any test for the I => 1j in
numpy fix. If people want, I can add a test for it.
It does work now, though:
In [1]: import numpy as np
In [2]: import sympy
In [3]:
In [4]: x = sympy.var('x')
In [5]: y = x**2 + sympy.I*2
In [6]: y_func = sympy.lambdify((x), y, "numpy")
In [7]: a = np.arange(10)
In [8]: res = y_func(a)
In [9]: res
Out[9]:
[ 0.+2.j 1.+2.j 4.+2.j 9.+2.j 16.+2.j 25.+2.j 36.+2.j 49.+2.j
64.+2.j 81.+2.j]
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