Python Pandas - 如何在特定级别按降序对 MultiIndex 进行排序
要创建 MultiIndex,请使用from_arrays()方法。但是,要在特定级别对 MultiIndex 进行排序,请使用Pandas 中的方法。将级别设置为参数。要按降序排序,请使用升序参数并设置为False。multiIndex.sortlevel()
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'))
排序多索引。要排序的特定级别设置为参数,即此处的级别 1。我们使用值为“False”的“升序”顺序按降序排序 -
print("\nSort MultiIndex at the requested level in descending order...\n",multiIndex.sortlevel(1, ascending=False))
示例
以下是代码 -
import pandas as pd输出结果# MultiIndex is a multi-level, or hierarchical, index object for pandas objects
# Create arrays
arrays = [[2, 4, 3, 1], ['Peter', 'Chris', 'Andy', 'Jacob']]
# The "names" parameter sets the names for each of the index levels
# The from_arrays() is used to create a MultiIndex
multiIndex = pd.MultiIndex.from_arrays(arrays, names=('ranks', 'student'))
# display the MultiIndex
print("The Multi-index...\n",multiIndex)
# get the levels in MultiIndex
print("\nThe levels in Multi-index...\n",multiIndex.levels)
# Sort MultiIndex
# The specific level to sort is set as a parameter i.e. level 1 here
# We have sort in descending order using the "ascending" 有价值的订单 "False"
print("\nSort MultiIndex at the requested level in descending order...\n",multiIndex.sortlevel(1, ascending=False))
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']]
Sort MultiIndex at the requested level in descending order...
(MultiIndex([(2, 'Peter'),
(1, 'Jacob'),
(4, 'Chris'),
(3, 'Andy')],
names=['ranks', 'student']), array([0, 3, 1, 2], dtype=int64))
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