AONBIVC1CPO

练习一

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C A D A D B C D D D
  1. (1) 采样 量化 编码

    (2) A

    (3) 3

  2. df[df.湿度>50]

    t[8:10]

    count()

    df2.时间

练习二

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C A B D A C D A C C
  1. (1) 01000100

    (2) 字形码

    (3) 4 00010000

    (4) 2B

  2. file += “0”

    groupby

    str(i + 1)

    label = ‘最低温度’

练习三

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D B B D B D A B B C
  1. (1) isbn[i] *= j

    k += 1

    isbn[len(isbn)]

    (2) B

    (3) jym[(11 - s) % 11]

  2. (1) 27

    (2) pd.read_excel(data.xlsx)

    score = 0

    score_xk(df[“学考成绩”])

    (3) 有

    (4) ascending = False

    head(cnt)

练习四

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A D D D C C D C B C
  1. i = 0

    tmp * 10 + int(s[i])

    tmp = 0

    del s, i, tmp

  2. (1) as_index = False

    d.values

    (2) df[“年份”] == i

    x not in dic

    tp = []

    m == j