Pythonic way to manage arbitrary amount of variables, used for equation solving.

Question

This is a bit difficult to explain without a direct example. So let's put the very simplistic ideal-gas law as example. For an ideal gas under normal circumstances the following equation holds:

PV = RT

This means that if we know 3 of the 4 variables (pressure, volume, specific gas constant and temperature) we can solve for the other one.

How would I put this inside an object? I want to have an object where I can just insert 3 of the variables, and then it calculates the 4th. I wonder if this can be achieved through properties?

My current best guess is to insert it like:

class gasProperties(object):
    __init__(self, P=None, V=None, R=None, T=None)
        self.setFlowParams(P, V, R, T)
    def setFlowParams(self, P=None, V=None, R=None, T=None)
        if P is None:
            self._P = R*T/V
            self._V = V
            self._R = R
            self._T = T
        elif V is None:
            self._V = R*T/P
            self._P = P
            self._R = R
            self._T = T
        #etc

Though this is quite cumbersome, and error prone (I have to add checks to see that exactly one of the parameters is set to "None").

Is there a better, cleaner way?

I see this "problem" happening quite often, in all kinds of various ways, and especially once the number of variables grows (adding density, reynolds number, viscosity to the mix) the number of different if-statements grows quickly. (IE if I have 8 variables and any 5 make the system unique I would need 8 nCr 5 = 56 if statements).

Answer 1

Using sympy, you can create a class for each of your equations. Create the symbols of the equation with ω, π = sp.symbols('ω π') etc., the equation itself and then use function f() to do the rest:

import sympy as sp    

# Create all symbols.
P, V, n, R, T = sp.symbols('P V n R T')
# Create all equations
IDEAL_GAS_EQUATION = P*V - n*R*T   

def f(x, values_dct, eq_lst):
    """
    Solves equations in eq_lst for x, substitutes values from values_dct, 
    and returns value of x.

    :param x: Sympy symbol
    :param values_dct: Dict with sympy symbols as keys, and numbers as values.
    """

    lst = []
    lst += eq_lst

    for i, j in values_dct.items():
        lst.append(sp.Eq(i, j))

    try:
        return sp.solve(lst)[0][x]
    except IndexError:
        print('This equation has no solutions.')

To try this out... :

vals = {P: 2, n: 3, R: 1, T:4}

r = f(V, values_dct=vals, eq_lst=[IDEAL_GAS_EQUATION, ])
print(r)   # Prints 6

If you do not provide enough parameters through values_dct you ll get a result like 3*T/2, checking its type() you get <class 'sympy.core.mul.Mul'>.

If you do provide all parameters you get as a result 6 and its type is <class 'sympy.core.numbers.Integer'>, so you can raise exceptions, or whatever you need. You could also, convert it to an int with int() (it would raise an error if instead of 6 you had 3*T/2 so you can test it that way too).

Alternatively, you can simply check if None values in values_dct are more than 1.

---

To combine multiple equations, for example PV=nRT and P=2m, you can create the extra symbol m like the previous symbols and assign 2m to the new equation name MY_EQ_2, then insert it in the eq_lst of the function:

m = sp.symbols('m')
MY_EQ_2 = P - 2 * m

vals = {n: 3, R: 1, T:4}

r = f(V, values_dct=vals, eq_lst=[IDEAL_GAS_EQUATION, MY_EQ_2])
print(r)   # Prints 6/m