How do I find the derivative and integral in NumPy?

Question

How do I find the derivative and integral in numpy? Can someone tell me how to do it in numpy?

Answer 1

Do you want the numerical derivative (finite difference) and/or numerical integral (quadrature)?



For finite differences, have a look at numpy.diff: http://docs.scipy.org/doc/numpy/reference/generated/numpy.diff.html or numpy.gradient: http://docs.scipy.org/doc/numpy/reference/generated/numpy.gradient.html .



Numerical quadrature is not part of NumPy (which is simply a library for vectorized numerical calculations), but implemented in SciPy (containing many specialized functions and numerical algorithms). Have a look at http://docs.scipy.org/doc/scipy/reference/tutorial/integrate.html .





If you want symbolic calculations instead (like Mathematica or Maple would provide), NumPy or SciPy are the wrong tool for the job. Instead, have a look at SymPy, a library symbolic computation. For derivatives and integrals, see http://docs.sympy.org/latest/tutorial/calculus.html .

Answer 2

> Boss, it's like this: NumPy is a series of modules that are tuned for numerical analysis. But that

> doesn't give them magical powers, so that you can push in your calculus book, and shake, and hey,

> presto, with Numpy out comes derivatives when wanted, and Integrals if needed. You still need to learn

> python, and you haven't done that yet. It's sort of a prerequisite, man. Come on now, you can do it. But

> get some walking in before you ask about mountain-climbing, okay?

>

> John (gnujohn)

Answer 3

Read the NumPy documentation.http://www.numpy.org/