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PO
primarykey
Id
10683911
data
AcceptedAnswerId
0
AnswerCount
0
ClosedDate
CommentCount
0
CommunityOwnedDate
CreationDate
2012-05-21T10:55:21.380
FavoriteCount
0
LastActivityDate
2015-05-11T17:38:42.963
LastEditDate
2015-05-11T17:38:42.963
LastEditorUserId
828368
OwnerUserId
669329
ParentId
10678843
PostTypeId
2
Score
39
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0
LastEditorDisplayName
text
Body
First of all, at the moment SymPy does not guarantee support for numpy arrays which is what you want in this case. Check this bug report <a href="http://code.google.com/p/sympy/issues/detail?id=537">http://code.google.com/p/sympy/issues/detail?id=537</a> Second, If you want to evaluate something numerically for many values SymPy is not the best choice (it is a symbolic library after all). Use numpy and scipy. However, a valid reason to evaluate something numerically will be that deriving the expression to be evaluated was hard so you derive it in SymPy and then evaluate it in NumPy/SciPy/C/Fortran. To translate an expression to numpy just use <pre><code>from sympy.utilities.lambdify import lambdify func = lambdify(x, big_expression_containing_x,'numpy') # returns a numpy-ready function numpy_array_of_results = func(numpy_array_of_arguments) </code></pre> Check the docstring of lambdify for more details. Be aware that lambdify still has some issues and may need a rewrite. And just as a side note, if you want to evaluate the expressions really many times, you can use the codegen/autowrap module from sympy in order to create fortran or C code that is wrapped and callable from python. EDIT: An updates list of ways to do numerics in SymPy can be found on the wiki <a href="https://github.com/sympy/sympy/wiki/Philosophy-of-Numerics-and-Code-Generation-in-SymPy">https://github.com/sympy/sympy/wiki/Philosophy-of-Numerics-and-Code-Generation-in-SymPy</a>
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1. POEvaluate sympy expression from an array of values
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1. USzuuz
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1. USKrastanov
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