Code file created.

Author: BabritB

CensusProject_NP_Subnetting_Very_Imp/code.py

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+# --------------
+# Importing header files
+import numpy as np
+import warnings
+
+warnings.filterwarnings('ignore')
+
+#New record
+new_record=[[50,  9,  4,  1,  0,  0, 40,  0]]
+
+#Reading file
+data = np.genfromtxt(path, delimiter=",", skip_header=1)
+print(data.shape)
+
+
+#Code starts here
+census=np.concatenate((data,new_record),axis=0)
+print(census.shape)
+age=census[:,[0]]
+
+max_age=np.max(age)
+print(max_age)
+min_age=np.min(age)
+age_mean=np.mean(age)
+age_std=np.std(age)
+
+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)
+len_1=len(race_1)
+len_2=len(race_2)
+len_3=len(race_3)
+len_4=len(race_4)
+
+mx_list=[len_0,len_1,len_2,len_3,len_4]
+minority_race=mx_list.index(min(mx_list))
+print(f"{minority_race}")
+
+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).round(2)
+
+print(working_hours_sum)
+print(avg_working_hours)
+
+high=census[census[:,1]>10,:][:,:]
+low=census[census[:,1]<=10,:][:,:]
+
+avg_pay_high=np.mean(high[:,7]).round(2)
+avg_pay_low=np.mean(low[:,7]).round(2)
+
+print(avg_pay_high)
+print(avg_pay_low)
+
+
+
+
+
+