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import pandas as pd
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import numpy as np
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s1 = pd.Series([1, 2, 3, 4, 5])
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s2 = pd.Series([6, 7, 8, 9, 10])
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df = pd.DataFrame({'第一列': s1, '第二列': s2})
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print(type(df['第一列']))  # 每一列是一个 Series

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<class 'pandas.core.series.Series'>

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df = pd.DataFrame(
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    {
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        'name': ['tom', 'tom', 'jack', 'alice', 'bob', 'allen'],
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        'age': [15, 15, 15, 20, 26, 30],
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        'score': [60.5, 60.5, 80, 30.6, 70, 83.5]
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    },
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    index=[1, 2, 3, 4, 5, 6],
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    columns=['name', 'score', 'age']
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)
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print(df)

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    name  score  age
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1    tom   60.5   15
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2    tom   60.5   15
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3   jack   80.0   15
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4  alice   30.6   20
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5    bob   70.0   26
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6  allen   83.5   30