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题解 | 异常值与缺失值

import numpy as np import pandas as pd def preprocess_data(): n=int(input()) data=[float(input().strip()) for _ in range(n)] data=np.array(d...

2026-02-10

0 34

题解 | 多项式特征的Phi变换

import numpy as np def phi_transform(data: list[float], degree: int) -> list[list[float]]: if degree < 0 or not data: return [] else: ...

2026-02-03

0 30

题解 | 成绩输入输出

a=input() b=a.split() print("score1="+b[0]+","+"score2="+b[1]+","+"score3="+b[2])

2026-01-10

0 41

题解 | 实现四舍五入

n=float(input()) if(n>0): m=n+0.5 t=int(m) print(t) else: m1=n-0.5 t1=int(m1) print(t1)

2026-01-10

0 33