3일차 (10/31) 고려대 ai 기본 과정

 

좀더 간단하게 코드를 짤수 있다

import pandas as pd
import numpy as np

values = np.random.randint(0,101,100)

avg=sum(values)/len(values)
datalist = []
indexlist = []
for i in values:
    if i >= avg:
        datalist.append(i)
        indexlist.append("pass")
    else:
        datalist.append(i)
        indexlist.append("fail")
resurt = pd.Series(datalist, index= indexlist) 
print(resurt)

import pandas as pd
import numpy as np

values = np.random.randint(0,101,100)

m_val =np.mean(values)
ind = np.where(values >= m_val,'pass','fail')
score = pd.Series(values, index = ind)
print(score['fail'])

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