[FIXED] Find Percent from List

Issue

I have two lists that have been combined using zip, and I need to find the percent of one of these variables.

I have zipped these two lists so the proper values are associated. Next I need to single out one specific variable, give it a name, and find it's percent.

In: np.asarray((unique_elements, counts_elements))
Out: 
array([[     0,      1,      2,      3,      4,      5,      6],
       [ 84430,  23984, 107355,  91459,  80237, 179391,  69367]])
geologyzip = zip(unique_elements, counts_elements)

geologytotal=np.sum(geologyzip)

I don't know if that last bit was correct, but I need to total these values and find the percent of #4 which I also need to associate with the name madison

I need something to say madison=x% but I'm not sure where to go from here.

Solution

Here's something you can look at to see why numpy is a powerful source of one-liners.

import numpy as np
unique_elements, counts_elements = np.array([[     0,      1,      2,      3,      4,      5,      6],
                                         [ 84430,  23984, 107355,  91459,  80237, 179391,  69367]])  


value = 4
percent = counts_elements[unique_elements==value].sum()/counts_elements.sum()*100.0

This says sum all elements in counts_elements corresponding to unique_elements being equal to the value you specify, then divide it by the total count counts_elements.sum(). This is slightly overkill. You could study it to figure out why.

Answered By - kevinkayaks