View GitHub Repository TabPy

Schedule Inspection
Subscribe
Passed
Push — master ( 305552...00a4d3 )
by Oleksandr
02:44
created

tabpy.models.scripts.ANOVA.anova()   A

↳ Parent: tabpy.models.scripts.ANOVA

Complexity

Conditions 3

Size

Total Lines 14
Code Lines 8

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
eloc 8
dl 0
loc 14
rs 10
c 0
b 0
f 0
cc 3
nop 3
1 
import scipy.stats as stats
2 
from tabpy.models.utils import setup_utils
3 

            


            
                                                                                                            
                                                                
            
                                    
            
            

                
                    4
                

                                    
                                                    
                
                
                

            


            
                                                                        
                            
            
                                    
            
            

                
                    5
                

                                    
                                                    
                
                
                
def anova(_arg1, _arg2, *_argN):

            


            
                                                                        
                            
            
                                    
            
            

                
                    6
                

                                    
                                                    
                
                
                
    '''

            


            
                                                                        
                            
            
                                    
            
            

                
                    7
                

                                    
                                                    
                
                
                
    ANOVA is a statistical hypothesis test that is used to compare

            


            
                                                                        
                            
            
                                    
            
            

                
                    8
                

                                    
                                                    
                
                
                
    two or more group means for equality.For more information on

            


            
                                                                        
                            
            
                                    
            
            

                
                    9
                

                                    
                                                    
                
                
                
    the function and how to use it please refer to tabpy-tools.md

            


            
                                                                        
                            
            
                                    
            
            

                
                    10
                

                                    
                                                    
                
                
                
    '''

            


            
                                                                        
                            
            
                                    
            
            

                
                    11
                

                                    
                                                    
                
                
                

            


            
                                                                        
                            
            
                                    
            
            

                
                    12
                

                                    
                                                    
                
                
                
    cols = [_arg1, _arg2] + list(_argN)

            


            
                                                                        
                            
            
                                    
            
            

                
                    13
                

                                    
                                                    
                
                
                
    for col in cols:

            


            
                                                                        
                            
            
                                    
            
            

                
                    14
                

                                    
                                                    
                
                
                
        if not isinstance(col[0], (int, float)):

            


            
                                                                        
                            
            
                                    
            
            

                
                    15
                

                                    
                                                    
                
                
                
            print("values must be numeric")

            


            
                                                                        
                            
            
                                    
            
            

                
                    16
                

                                    
                                                    
                
                
                
            raise ValueError

            


            
                                                                        
                            
            
                                    
            
            

                
                    17
                

                                    
                                                    
                
                
                
    _, p_value = stats.f_oneway(_arg1, _arg2, *_argN)

            


            
                                                                        
                            
            
                                    
            
            

                
                    18
                

                                    
                                                    
                
                
                
    return p_value

            


            
                                                                                                            
                            
            
                                    
            
            

                
                    19
                

                                    
                                                    
                
                
                

            


            
                                                                                                            
                            
            
                                    
            
            

                
                    20
                

                                    
                                                    
                
                
                

            


            
                                                                                                            
                            
            
                                    
            
            

                
                    21
                

                                    
                                                    
                
                
                
if __name__ == '__main__':

            


            
                                                                                                            
                            
            
                                    
            
            

                
                    22
                

                                    
                                                    
                
                
                
    setup_utils.deploy_model(

            


            
                                                                                                            
                            
            
                                    
            
            

                
                    23
                

                                    
                                                    
                
                
                
        'anova',

            


            
                                                                                                            
                            
            
                                    
            
            

                
                    24
                

                                    
                                                    
                
                
                
        anova,

            


            
                                                                                                            
                                                                
            
                                    
            
            

                
                    25
                

                                    
                                                    
                
                
                
        'Returns the p-value form an ANOVA test')

            


            
                                                        
            
                                    
            
            

                
                    26