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')