Python Pandas - 将 MultiIndex 转换为包含级别值的元组索引

要将MultiIndex转换为包含级别值的元组索引，请使用方法。MultiIndex.to_flat_index()

首先，导入所需的库-

import pandas as pd

MultiIndex是Pandas对象的多级或分层索引对象。创建数组-

arrays = [[1, 2, 3, 4], [John, Tim, Jacob, Chris]]

“names”参数设置每个索引级别的名称。将from_arrays()被用来创建一个多指标-

multiIndex = pd.MultiIndex.from_arrays(arrays, names=(ranks, student))

转换多索引-

print("\nConverting a MultiIndex to an Index of Tuples containing the level values...\n",multiIndex.to_flat_index())

示例

以下是代码-

import pandas as pd #MultiIndexisamulti-level,orhierarchical,indexobjectforpandasobjects #Createarrays arrays = [[1, 2, 3, 4], [John, Tim, Jacob, Chris]] # The "names" parameter sets the names for each of the index levels #Thefrom_arrays()isusedtocreateaMultiIndex multiIndex = pd.MultiIndex.from_arrays(arrays, names=(ranks, student)) #displaytheMultiIndex print("The Multi-index...\n",multiIndex) #getthelevelsinMultiIndex print("\nThe levels in Multi-index...\n",multiIndex.levels) #ConverttheMultiIndex print("\nConverting a MultiIndex to an Index of Tuples containing the level values...\n",multiIndex.to_flat_index())输出结果

这将产生以下输出-

The Multi-index... MultiIndex([(1, John), (2, Tim), (3, Jacob), (4, Chris)], names=[ranks, student]) The levels in Multi-index... [[1, 2, 3, 4], [Chris, Jacob, John, Tim]] Converting a MultiIndex to an Index of Tuples containing the level values... Index([(1, John), (2, Tim), (3, Jacob), (4, Chris)], dtype=object)