import numpy as np
aaa = np.array([[-10,2,3,4,5,6,7,8,9,10,11,12,50],
                [100,200,-30,400,500,600,-70000,800,900,1000,210,420,350]])
aaa = np.transpose(aaa)

print(aaa.shape)

def outliers(data_out):
    quartile_1, q2, quartile_3 =np.percentile(data_out, [25, 50, 75])
    
    print("1사분위 : ", quartile_1) # 4
    print("q2 : ", q2) # 7
    print("3사분위 : ", quartile_3) # 10
    iqr = quartile_3 - quartile_1  #6
    print("iqr : ", iqr)
    lower_bound = quartile_1 - (iqr * 1.5) # -5
    upper_bound = quartile_3 + (iqr * 1.5) # 19
    
    return np.where((data_out>upper_bound) | (data_out<lower_bound))

  
outliers_loc = outliers(aaa)
print("이상치의 위치 : ", outliers_loc)

import matplotlib.pyplot as plt
plt.boxplot(aaa)
plt.show()