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')热门推荐
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