Python Pandas - 返回已删除请求级别的 MultiIndex

要返回移除了请求级别的MultiIndex，请使用Pandas中的方法。将要删除的级别设置为参数。MultiIndex.droplevel()

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 = [[2, 4, 3, 1], [Peter, Chris, Andy, Jacob]]

“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))

降低特定级别。级别为1，即级别1被丢弃”-

print("\nMulti-index after dropping a level...\n",multiIndex.droplevel(1))

示例

以下是代码-

import pandas as pd #MultiIndexisamulti-level,orhierarchical,indexobjectforpandasobjects #Createarrays arrays = [[2, 4, 3, 1], [Peter, Chris, Andy, Jacob]] # 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) #Dropaspecificlevel #Thelevelis1i.e.level1getsdropped print("\nMulti-index after dropping a level...\n",multiIndex.droplevel(1))输出结果

这将产生以下输出-

The Multi-index... MultiIndex([(2, Peter), (4, Chris), (3, Andy), (1, Jacob)], names=[ranks, student]) The levels in Multi-index... [[1, 2, 3, 4], [Andy, Chris, Jacob, Peter]] Multi-index after dropping a level... Int64Index([2, 4, 3, 1], dtype=int64, name=ranks)