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python Programming Glossary: lambdify

Python: Best Way to Exchange Keys with Values in a Dictionary?

http://stackoverflow.com/questions/1031851/python-best-way-to-exchange-keys-with-values-in-a-dictionary

Evaluate sympy expression from an array of values

http://stackoverflow.com/questions/10678843/evaluate-sympy-expression-from-an-array-of-values

an expression to numpy just use from sympy.utilities.lambdify import lambdify func lambdify x big_expression_containing_x.. to numpy just use from sympy.utilities.lambdify import lambdify func lambdify x big_expression_containing_x # returns a numpy.. use from sympy.utilities.lambdify import lambdify func lambdify x big_expression_containing_x # returns a numpy ready function..

Numerical Integration over a Matrix of Functions, SymPy and SciPy

http://stackoverflow.com/questions/16295140/numerical-integration-over-a-matrix-of-functions-sympy-and-scipy

# element wise integration from sympy.utilities import lambdify from sympy.mpmath import quad from scipy.integrate import dblquad.. dtype float for i j expr in scipy.ndenumerate A tmp lambdify x t expr 'math' A_int1 i j quad tmp x1 x2 t1 t2 # or in scipy.. shot like but I'm not sure if this is the way to go A_eval lambdify x t A 'math' A_int1 sympy.quad A_eval x1 x2 t1 t2 # or in scipy..

how to handle an asymptote/discontinuity with Matplotlib

http://stackoverflow.com/questions/2540294/how-to-handle-an-asymptote-discontinuity-with-matplotlib

as plt import numpy as np from sympy import sympify lambdify from sympy.abc import x fig plt.figure 1 ax fig.add_subplot.. my curve myfunction sympify 1 x 2 mylambdifiedfunction lambdify x myfunction 'numpy' ax.plot xx mylambdifiedfunction xx zorder..

How do i compute derivative using Numpy?

http://stackoverflow.com/questions/9876290/how-do-i-compute-derivative-using-numpy

that integrates well with NumPy. Look at the autowrap or lambdify functions or check out Jensen's blogpost about a similar question.. y x 2 1 In 5 yprime y.diff x In 6 yprime Out 6 2 …x In 7 f lambdify x yprime 'numpy' In 8 f np.ones 5 Out 8 2. 2. 2. 2. 2. share..