多重索引被定义为非常重要的索引，因为它处理数据分析和操作，尤其是处理高维数据时。它还可以在Series和DataFrame等较低维度的数据结构中存储和处理任意数量的维度的数据。
示例:
arrays = [[it, it, of, of, for, for, then, then], [one, two, one, two, one, two, one, two]] tuples = list(zip(*arrays)) tuples
输出:
[(it, one), (it, two), (of, one), (of, two), (for, one), (for, two), (then, one), (then, two)]
示例2:
arrays = [[it, it, of, of, for, for, then, then], [one, two, one, two, one, two, one, two]] tuples = list(zip(*arrays)) index = pd.MultiIndex.from_tuples(tuples, names=[first, second])
输出:
MultiIndex([(bar, one), [(it, one), (it, two), (of, one), (of, two), (for, one), (for, two), (then, one), (then, two)] names=[first, second])
示例3:
import pandas as pd import numpy as np pd.MultiIndex(levels=[[np.nan, None, pd.NaT, 128, 2]], codes=[[0, -1, 1, 2, 3, 4]])
输出:
MultiIndex(levels=[[nan, None, NaT, 128, 2]],
codes=[[0, -1, 1, 2, 3, 4]])
