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

# Path of the file has been stored in variable called 'path'
data = np.genfromtxt(path,delimiter=",",skip_header=1)
print ("\nData: \n\n",data)
print ("\nTypeof data: \n\n",type(data))
#New record
new_record=[[50,  9,  4,  1,  0,  0, 40,  0]]
census = np.concatenate((data,new_record))
print (census)
#Code starts here



# --------------
#Code starts here
age = census[:,0]
print (age)
max_age = np.max(age)
print (max_age)
min_age = np.min(age)
print (min_age)
age_mean = np.mean(age)
print (age_mean)
age_std = np.std(age)
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]
len_0 = len(race_0)
print(len_0)
len_1 = len(race_1)
print (len_1)
len_2 = len(race_2)
print (len_2)
len_3 = len(race_3)
print (len_3)
len_4 = len(race_4)
print (len_4)
minority_race = 3
print (minority_race)
print (census[:,2].size)


# --------------
#Code starts here
senior_citizens = census[census[:,0] > 60]
working_hours_sum = np.sum(senior_citizens[:,6])
senior_citizens_len = len(senior_citizens)
avg_working_hours = 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])
print (avg_pay_high)
avg_pay_low = np.mean(low[:,7])
print (avg_pay_low)
if avg_pay_high > avg_pay_low:
    print ('True')
else:
    print ('False')


