Loop to test range of variables and find the best ones in Pyhton

Question

First of all thank you for this amazing space to learn from you all, I have the following question. I created a code that imports data from several APIs and it performs various statistical operations around the data. And it returns 1 result number, which is helpful to see if the model is correct.
The code is built around 4 (or more), static variables. What I want is to create a range of number for each of those variables and test all possible combinations in the code, that returns the top 10 highest result numbers.
it looks like this:


#I would want to test i.e. variable_1 in a range from (-0.004 to 0.004 at 0.001 increments), the same for the other variables until I can get the top 10 highest result_number
variable_1 = 0.004
variable_2 = 0.005
variable_3 = 30
result_number = 0

def my_code():
global variable_1, variable_2, variable_3
#perform all the operations utilizing the variables
return result_number

Please let me know if it is clear, or if you have any idea how to attack this.
Thank YOU!!

I am new to Python so I am still trying to figure out how to loop and record the highest numbers as it goes. The code is fairly long so it will take a few hours for the simmulation

Asked By: PythonNoob

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Source

Answer 1

Extracting the maximal result from a loop

best_result = None
for variable_1 in range(-4, 4, 1):
    result = my_code()
    if best_result is None or best_result > result:
        best_result = result

Iterating over decimals (numpy solution)

import numpy as np

best_result = None
for variable_1 in np.arange(-0.004, 0.004, 0.001):
    result = my_code()
    if best_result is None or best_result > result:
        best_result = result

Iterating over multiple variables (numpy & itertools solution)

import numpy as np
from itertools import product

variable_range = np.arange(-0.004, 0.004, 0.001)

best_result = None
for (variable_1, variable_2, variable_3) in product(variable_range, variable_range, variable_range):
    result = my_code()
    if best_result is None or best_result > result:
        best_result = result

Of course, if your variables have different ranges, you need to define them separately and use them accordingly in product.

Answered By: Alex P

Answer 2

I would use numpy to create lists of values with decimals, then you can check if the value is in this list:

import numpy as np

variable_1 = 0.004
variable_2 = 0.005
variable_3 = 30
result_number = 0

def my_code():
    global variable_1, variable_2, variable_3
    result_number = 0
    result_number += variable_1 in  np.arange(-0.004,0.005,0.001)
    result_number += variable_2 in  np.arange(-0.004,0.005,0.001)
    result_number += variable_3 in  np.arange(22,28,1)
    return result_number


my_code()

Something like this. To take in account:

np.arange(start,stop,step) create an array like: [start,start+step,start+2*step,... start+k*step] until start+k*step<stop so, you have to select stop> ‘your last value seeked’ (in your example stop>0.004 -> stop = 0.005)

Answered By: Ulises Bussi

Loop to test range of variables and find the best ones in Pyhton

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