如何从不同长度和条件的列中形成pandas数据帧？

import pandas as pd

data = {'A': [1, 2, 3],
        'B': ['a', 'b', 'c'],
        'C': [True, False, True]}
df = pd.DataFrame(data)

import pandas as pd
import numpy as np

array1 = np.array([1, 2, 3])
array2 = np.array(['a', 'b', 'c'])
array3 = np.array([True, False, True])

df = pd.DataFrame({'A': array1, 'B': array2, 'C': array3})

import pandas as pd

series1 = pd.Series([1, 2, 3])
series2 = pd.Series(['a', 'b', 'c'])
series3 = pd.Series([True, False, True])

df = pd.DataFrame({'A': series1, 'B': series2, 'C': series3})

import pandas as pd

column1 = pd.Series([1, 2, 3])
column2 = pd.Series(['a', 'b', 'c'])
column3 = pd.Series([True, False, True])

df = pd.concat([column1, column2, column3], axis=1)
df.columns = ['A', 'B', 'C']