Pandas-在同一标题中透视和重新排列具有多个标签的表

Pandas-在同一标题中透视和重新排列具有多个标签的表,pandas,dataframe,split,header,reformatting,Pandas,Dataframe,Split,Header,Reformatting,我有一个xlsx文件,其中包含用于多年数据的选项卡。每个选项卡包含一个包含许多列的表,该表的结构如下: +-----------+-------+-------------------------+----------------------+ | City | State | Number of Drivers, 2019 | Number of Cars, 2019 | +-----------+-------+-------------------------+---------

我有一个xlsx文件,其中包含用于多年数据的选项卡。每个选项卡包含一个包含许多列的表,该表的结构如下:

+-----------+-------+-------------------------+----------------------+
|   City    | State | Number of Drivers, 2019 | Number of Cars, 2019 |
+-----------+-------+-------------------------+----------------------+
| LA        | CA    |                     123 |                 10.0 |
| San Diego | CA    |                     456 |                 2345 |
+-----------+-------+-------------------------+----------------------+
我想重新排列表格,使其看起来像这样,并对xlsx中的每个选项卡执行此操作:

+-----------+-------+------+-------------------+---------------+
|   City    | State | Year |   Measure Name    | Measure Value |
+-----------+-------+------+-------------------+---------------+
| LA        | CA    | 2019 | Number of Drivers |           123 |
| San Diego | CA    | 2019 | Number of Drivers |           456 |
| LA        | CA    | 2019 | Number of Cars    |            10 |
| San Diego | CA    | 2019 | Number of Cars    |          2345 |
+-----------+-------+------+-------------------+---------------+

这里有很多移动的部分,要想得到正确的最终格式有点棘手

我们做
melt
然后
join
str.split

s=df.melt(['City','State'])
s=s.join(s.variable.str.split(',',expand=True))
Out[120]: 
       City State              variable   value                0     1
0        LA    CA  NumberofDrivers,2019   123.0  NumberofDrivers  2019
1  SanDiego    CA  NumberofDrivers,2019   456.0  NumberofDrivers  2019
2        LA    CA     NumberofCars,2019    10.0     NumberofCars  2019
3  SanDiego    CA     NumberofCars,2019  2345.0     NumberofCars  2019

# if you need change the name adding .rename(columns={}) at the end 

这就是我如何将Yoben的解决方案应用于xlsx文件中的每个选项卡,将它们附加在一起,并将完整的表格写入.csv:

sheets_dict = pd.read_excel(r'file.xlsx', sheet_name=None)

full_table = pd.DataFrame()
for name, sheet in sheets_dict.items():
    sheet['sheet'] = name
    sheet = sheet.melt(['City','State'])
    sheet = sheet.join(sheet.variable.str.split(',' , expand=True))
    full_table = full_table.append(sheet)


full_table.reset_index(inplace=True, drop=True)


full_table.to_csv('Full Table.csv')

这很有效,非常感谢!下面我将添加代码,以便在xlsx文件中的所有选项卡上执行表重排。