Python Pandas - 返回使用级别名称删除多个级别的 MultiIndex
要返回使用级别名称删除多个级别的MultiIndex，请使用该方法并将要删除的多个级别（级别名称）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'], [50, 30, 40, 70]]
“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=('rank', 'student', 'points'))从MultiIndex删除特定级别。要删除的级别设置为参数中的级别名称，即级别名称“学生”和“等级”被删除-
print("\nMulti-index after dropping two levels...\n",multiIndex.droplevel(['rank', 'student']))示例
以下是代码-
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'], [50, 30, 40, 70]]
# The "names" parameter sets the names for each of the index levels
#from_arrays()用于创建MultiIndex
multiIndex = pd.MultiIndex.from_arrays(arrays, names=('rank', 'student', 'points'))
#显示多索引
print("The Multi-index...\n",multiIndex)
#获取MultiIndex中的级别
print("\nThe levels in Multi-index...\n",multiIndex.levels)
#从MultiIndex删除特定级别
#要删除的级别设置为参数ie中的级别名称
# level name 'student' and 'rank' gets dropped
print("\nMulti-index after dropping two levels...\n",multiIndex.droplevel(['rank', 'student']))输出结果这将产生以下输出-
The Multi-index...
MultiIndex([(2, 'Peter', 50),
(4, 'Chris', 30),
(3, 'Andy', 40),
(1, 'Jacob', 70)],
names=['rank', 'student', 'points'])
The levels in Multi-index...
[[1, 2, 3, 4], ['Andy', 'Chris', 'Jacob', 'Peter'], [30, 40, 50, 70]]
Multi-index after dropping two levels...
Int64Index([50, 30, 40, 70], dtype='int64', name='points')