I don't know if this is possible but I have a data frame like this one:
df
State  County  Homicides Man Woman Not_Register
Gto    Celaya     2       2    0      0 
NaN    NaN        8       4    2      2
NaN    NaN        3       2    1      0
NaN    Yiriria    2       1    1      0
Nan    Acambaro   1       1    0      0
Sin    Culiacan   3       1    1      1
NaN    Nan        5       4    0      1
Chih    Juarez    1       1    0      0
I want to group by State, County, Man Women, Homicides and Not Register. Like this:
State  County  Homicides Man Woman Not_Register
Gto    Celaya     13      8     3     2
Gto    Yiriria    2       1    1      0
Gto    Acambaro   1       1    0      0
Sin    Culiacan   8       5    1      2
Chih    Juarez    1       1    0      0
So far, I been able to group by State and County and fill the rows with NaN with the right name of the county and State. My result and code:
import numpy as np
import math
df = df.fillna(method ='pad')  #To repeat the name of the State and County with the right order
#To group 
df = df.groupby(["State","County"]).agg('sum')
df =df.reset_index()
df
State  County  Homicides 
Gto    Celaya     13      
Gto    Yiriria    2       
Gto    Acambaro   1       
Sin    Culiacan   8       
Chih    Juarez    1      
But When I tried to add the Men and woman
df1 = df.groupby(["State","County", "Man", "Women", "Not_Register"]).agg('sum')
df1 =df.reset_index()
df1       
My result is repeating the Counties not giving me a unique County for State, How can I resolve this issue?
Thanks for your help
 
    