Python：Pandas-来自多个表头Excel工作表的整洁数据框

Question

我有一个软件工具的excel工作表输出，该工具的结构如下所示。excel结构：

+---+-------+--------------+--------------+
|   |       |              |              |
+---+-------+--------------+--------------+
|   |       | not relevant | not relevant |
+---+-------+--------------+--------------+
|   |       | X1           | Y1           |
+---+-------+--------------+--------------+
|fr | Time  | not relevant | not relevant |
+---+-------+--------------+--------------+
| 1 | 0.000 | 12           | 32           |
+---+-------+--------------+--------------+
| 2 | 0.010 | 23           | 3            |
+---+-------+--------------+--------------+
| 3 | 0.020 | 45           | 4            |
+---+-------+--------------+--------------+
| 4 | 0.030 | 4            | 1            |
+---+-------+--------------+--------------+
|   |       |              |              |
+---+-------+--------------+--------------+
|   |       | not relevant |              |
+---+-------+--------------+--------------+
|   |       | Y2           |              |
+---+-------+--------------+--------------+
|fr | Time  | not relevant |              |
+---+-------+--------------+--------------+
| 1 | 0.000 | 5            |              |
+---+-------+--------------+--------------+
| 2 | 0.010 | 89           |              |
+---+-------+--------------+--------------+
| 3 | 0.020 | 5            |              |
+---+-------+--------------+--------------+
| 4 | 0.030 | 3            |              |
+---+-------+--------------+--------------+
|   |       |              |              |
+---+-------+--------------+--------------+
|   |       | not relevant |              |
+---+-------+--------------+--------------+
|   |       | X3           |              |
+---+-------+--------------+--------------+
|fr | Time  | not relevant |              |
+---+-------+--------------+--------------+
| 1 | 0.000 | 17           |              |
+---+-------+--------------+--------------+
| 2 | 0.010 | 2            |              |
+---+-------+--------------+--------------+
| 3 | 0.020 | 4            |              |
+---+-------+--------------+--------------+
| 4 | 0.030 | 23           |              |
+---+-------+--------------+--------------+

csv结构：

,,,
,,not relevant,not relevant
,,X1,Y1
fr,Time,not relevant,not relevant
1,0.000,12,32
2,0.010,23,3
3,0.020,45,4
4,0.030,4,1
,,,
,,not relevant,
,,Y2,
fr,Time,not relevant,
1,0.000,5,
2,0.010,89,
3,0.020,5,
4,0.030,3,
,,,
,,not relevant,
,,X3,
fr,Time,not relevant,
1,0.000,17,
2,0.010,2,
3,0.020,4,
4,0.030,23,

我正在寻找一种快速的方法来将此凌乱的数据转换为整洁的熊猫数据框。

• 每个子系列的时间戳的值和数量相同。
• 子系列的数量是可变的。

最终结果应如下所示。

  Time    X1     Y1     Y2     X3  
  0.000   12     32     5      17    
  0.010   23     3      89     2     
  0.020   45     4      5      4     
  0.030   4      1      3      23 

Answer 1

我做了以下事情……对此并不感到很高兴，但是它有效。

import numpy as np
import pandas as pd

filename = 'test_data'

df = pd.read_excel(filename + '.xlsx', header=None)

df_list = np.split(df, df[df.isnull().all(1)].index)

del df_list[0]

for i, df in enumerate(df_list):

    df.iloc[3, 2:] = df.iloc[2, 2:]

    new_header = df.iloc[3]
    df.columns = new_header

    df = df.iloc[4:]
    df_tmp = df.drop(['Frame'], axis=1)    
    df = df_tmp.set_index("Time")
    df.dropna(axis=1, how='all', inplace=True)    
    df.columns.name = None

    df_list[i] = df

df = pd.concat(df_list, axis=1)
df = df.reindex(sorted(df.columns), axis=1)

df.to_csv(filename + '.csv')