Python Pandas - 使用 MultiIndex 中的级别名称仅设置一个新的特定级别

要使用MultiIndex中的级别名称仅设置一个新的特定级别，请使用该方法。参数level用于设置级别名称。MultiIndex.set_levels()

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))

在MultiIndex中设置级别。我们使用“level”参数中的级别名称设置了一个新的单个特定级别-

print("\nSet a new level in Multi-index...\n",multiIndex.set_levels([Emma, Angelina, Scarlett, Jeni], level = student))

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) #setthelevelinMultiIndex # We have set a new single specific level using the level name in the "level" parameter print("\nSet a new level in Multi-index...\n",multiIndex.set_levels([Emma, Angelina, Scarlett, Jeni], level = student))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]] Set a new level in Multi-index... MultiIndex([(1, Scarlett), (2, Jeni), (3, Angelina), (4, Emma)], names=[ranks, student])