揭開 ChatGPT 的秘密 — — 模擬 Python 終端

def bubble_sort(nums):
  n = len(nums)
  for i in range(n-1):
    for j in range(n-i-1):
      if nums[j] > nums[j+1]:
        temp = nums[j]
        nums[j] = nums[j+1]
        nums[j+1] = temp
            
nums = [3,2,4,5,1]
print("排序前 = %s" % nums)
bubble_sort(nums)
print("排序後 = %s" % nums)

import numpy as np
print(np.sort([3,2,4,5,1]))

import numpy as np
import pandas as pd
s = pd.Series([1, 3, 5, np.nan, 6, 8])
print(s)

import numpy as np
import pandas as pd
s = pd.DataFrame(np.random.normal(size=(10,5)),columns=['A','B','C','D','E'])
s['AVG'] = s.mean(axis=1)
print(s)

import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression
s = pd.DataFrame(np.random.normal(size=(10,5)),columns=['A','B','C','D','E'])
s['AVG'] = s.mean(axis=1)
model = LinearRegression()
y_col = 'AVG'
X = s.drop([y_col],axis=1)
y = s[y_col]
model.fit(X,y)
print(model.score(X,y))