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

2024-05-20 16:30:05 394

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')

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

示例

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