Python Pandas - 创建一个以 MultiIndex 的级别作为列的 DataFrame，但避免设置返回的 DataFrame 的索引
要创建以MultiIndex的级别作为列的DataFrame，请使用.该指标参数设置假以避免将返回数据框的索引multiIndex.to_frame()
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 = [[1, 2, 3, 4], ['John', 'Tim', 'Jacob', 'Chris']]
“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'))使用to_frame().使用“index”参数并将其设置为“False”以避免设置返回的DataFrame的索引-
dataFrame = multiIndex.to_frame(index=False)
示例
以下是代码-
import pandas as pd
#MultiIndexisamulti-level,orhierarchical,indexobjectforpandasobjects
#Createarrays
arrays = [[1, 2, 3, 4], ['John', 'Tim', 'Jacob', 'Chris']]
# 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)
#CreateaDataFramewiththelevelsoftheMultiIndexascolumnsusingto_frame()
# Use the "index" 参数并将其设置为 "False" to avoid setting the index of the returned #DataFrame
dataFrame = multiIndex.to_frame(index=False)
#ReturntheDataFrame
print("\nThe DataFrame...\n",dataFrame)输出结果这将产生以下输出-
The Multi-index...
MultiIndex([(1, 'John'),
(2, 'Tim'),
(3, 'Jacob'),
(4, 'Chris')],
names=['ranks', 'student'])
The levels in Multi-index...
[[1, 2, 3, 4], ['Chris', 'Jacob', 'John', 'Tim']]
The DataFrame...
ranks student
0 1 John
1 2 Tim
2 3 Jacob
3 4 Chris