Write a function that takes in the three attributes of a Simpson character and outputs the gender classification.

Remember what we're splitting on

Test the function with the Comic's attributes

Submit your code and give feedback on the Do Now in your PR



In [9]:

    
import pandas as pd
%matplotlib inline
import math
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
import numpy as np



In [17]:

    
df = pd.read_excel("simpson-eg.xlsx")
df









    Out[17]:






  
    
      
      Person
      Hair Length
      Weight
      Age
      Class
    
  
  
    
      0
      Homer
      0
      250
      36
      M
    
    
      1
      Marge
      10
      150
      34
      F
    
    
      2
      Bart
      2
      90
      10
      M
    
    
      3
      Lisa
      6
      78
      8
      F
    
    
      4
      Maggie
      4
      20
      1
      F
    
    
      5
      Abe
      1
      170
      70
      M
    
    
      6
      Selma
      8
      160
      41
      F
    
    
      7
      Otto
      10
      180
      38
      M
    
    
      8
      Krusty
      68
      200
      45
      M
    
    
      9
      Comic
      8
      290
      38
      NaN



In [25]:

    
def simpson_classifier(hair, weight, age):
    if weight <= 160:
        return "Female"
    else: 
        return "Male"



In [26]:

    
simpson_classifier(8,290, 38)









    Out[26]:





'Male'



In [ ]:

	Person	Hair Length	Weight	Age	Class
0	Homer	0	250	36	M
1	Marge	10	150	34	F
2	Bart	2	90	10	M
3	Lisa	6	78	8	F
4	Maggie	4	20	1	F
5	Abe	1	170	70	M
6	Selma	8	160	41	F
7	Otto	10	180	38	M
8	Krusty	68	200	45	M
9	Comic	8	290	38	NaN