Do I have to pass 85 variables to function?

[snippsat]

Have a problem with a function. I am reading from a data frame and when the condition is met, I am putting data into a two dimensional array. There are about 85 data points. Question is, must I pass the data points to the function or is there an easier way to accomplish this.

As you use Pandas then there is probably a way to this with methods of Pandas DataFrame.
The you do not write code like this,but let Pandas 100's method handle this in the DataFrame.

Those factors will be used to get ratings for each horse based on their rank for each factor

Just to give a example of what i mean.

import pandas as pd

horses = {
    "Name": ["Goodspeed", "Horse killer9", "Speedy youngster"],
    "Year": ["7", "10", "5"],
    "Rating": ["8.8", "6.8", "5.2"],
}

df = pd.DataFrame(horses)
print(df)

Output:
               Name Year Rating
0         Goodspeed    7    8.8
1     Horse killer9   10    6.8
2  Speedy youngster    5    5.2

So when have a data in a DataFrame can to all kind filter/ratings/rank stuff,
and the as example send to a dictionary df.to_dict() or many other formats Json,Excel,csv,Sql,Html...ect when finish.
Doing some stuff inside the DataFrame.

>>> df['Rating_Rank'] = df['Rating'].rank(ascending = 1)
>>> df = df.set_index('Rating_Rank')
>>> df
                         Name Year Rating
Rating_Rank                              
3.0                 Goodspeed    7    8.8
2.0             Horse killer9   10    6.8
1.0          Speedy youngster    5    5.2
>>> 
>>> df = df.sort_index() 
>>> df = df.reset_index()
>>> df
   Rating_Rank              Name Year Rating
0          1.0  Speedy youngster    5    5.2
1          2.0     Horse killer9   10    6.8
2          3.0         Goodspeed    7    8.8
>>> 
>>> df.to_dict()
{'Name': {0: 'Speedy youngster', 1: 'Horse killer9', 2: 'Goodspeed'},
 'Rating': {0: '5.2', 1: '6.8', 2: '8.8'},
 'Rating_Rank': {0: 1.0, 1: 2.0, 2: 3.0},
 'Year': {0: '5', 1: '10', 2: '7'}}