要在 MultiIndex 中使用级别名称重新排列级别,请使用Pandas 中的方法。传递要重新排列的级别(级别名称)作为参数。MultiIndex.reorder_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 = [[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'))
重新排序 MultiIndex 的级别。“order”参数用于在表单中设置级别名称以重新排序级别 -
print("\nReorder levels in MultiIndex using level name...\n",multiIndex.reorder_levels(order=['student','rank','points']))
以下是代码 -
import pandas as pd # MultiIndex is a multi-level, or hierarchical, index object for pandas objects # Create arrays 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 # The from_arrays() is used to create a MultiIndex multiIndex = pd.MultiIndex.from_arrays(arrays, names=('rank', 'student', 'points')) # display the MultiIndex print("The MultiIndex...\n",multiIndex) # get the levels in MultiIndex print("\nThe levels in MultiIndex...\n",multiIndex.levels) # swap levels of MultiIndex using swaplevel() # The 1st parameter is the first level of index to be swapped # The 2nd parameter is the second level of index to be swapped print("\nSwap levels in MultiIndex...\n",multiIndex.swaplevel(0,2)) # Reorder levels of MultiIndex # The "order" parameter is used to set the level name in a form to reorder levels print("\nReorder levels in MultiIndex using level name...\n",multiIndex.reorder_levels(order=['student','rank','points']))输出结果
这将产生以下输出 -
The MultiIndex... MultiIndex([(2, 'Peter', 50), (4, 'Chris', 30), (3, 'Andy', 40), (1, 'Jacob', 70)], names=['rank', 'student', 'points']) The levels in MultiIndex... [[1, 2, 3, 4], ['Andy', 'Chris', 'Jacob', 'Peter'], [30, 40, 50, 70]] Swap levels in MultiIndex... MultiIndex([('Peter', 2, 50), ('Chris', 4, 30), ( 'Andy', 3, 40), ('Jacob', 1, 70)], names=['student', 'rank', 'points']) Reorder levels in MultiIndex using level name... MultiIndex([('Peter', 2, 50), ('Chris', 4, 30), ( 'Andy', 3, 40), ('Jacob', 1, 70)], names=['student', 'rank', 'points'])