# --------------
# Importing header files
import numpy as np

# Path of the file has been stored in variable called 'path'

#New record
new_record=[[50,  9,  4,  1,  0,  0, 40,  0]]

#Code starts here
data=np.genfromtxt(path,delimiter=",",skip_header=1)
census=np.concatenate([data,new_record])



# --------------
#Code starts here
age=census[:,0]
#print(age)
max_age=np.amax(age)
min_age=np.amin(age)
#print(max_age)
#print(min_age)
age_mean=np.mean(age)
age_std=np.std(age)
#print(age_mean)
#print(age_std)


# --------------
#Code starts here
race_0=census[census[:,2]==0]
race_1=census[census[:,2]==1]
race_2=census[census[:,2]==2]
race_3=census[census[:,2]==3]
race_4=census[census[:,2]==4]
race_5=census[census[:,2]==5]
len_0=len(race_0)
len_1=len(race_1)
len_2=len(race_2)
len_3=len(race_3)
len_4=len(race_4)
len_5=len(race_5)
print(len_0,len_1,len_2,len_3,len_4,len_5)
minority_race=3



# --------------
#Code starts here
senior_citizens=census[census[:,0]>60]
working_hours_sum=sum(senior_citizens[:,6])
print(working_hours_sum)
senior_citizens_len=len(senior_citizens)
avg_working_hours=np.divide(working_hours_sum,senior_citizens_len)
print(avg_working_hours)


# --------------
#Code starts here
high=census[census[:,1]>10]
low=census[census[:,1]<=10]
avg_pay_high=np.mean(high[:,7])
avg_pay_low=np.mean(low[:,7])
print(avg_pay_high,avg_pay_low)



