Question

我使用以下代码在z = pandas.DataFrame.append(z, [{'Items': 'Foo'}, {'Items': 'Barr'}, {'Items': 'Options'}])的数据框中添加了3行，并获得了以下结果：

    Items          Last 12 Months  
0   Apple          48.674  
1   Dragon Fruit   8.786  
2   Milk           2.367  
3   Foo            3.336  
4   Barr           0.005  
5   Options        NaN

是否可以移动最后3行＆＃34; Foo, Barr, Options＆＃34;取而代之的是前三排？不改变索引..

Answer 1

reindex怎么样？

In [4]: df
Out[4]: 
          Items  Last 12 Months
0         Apple          48.674
1  Dragon Fruit           8.786
2          Milk           2.367

In [5]: z = pd.DataFrame([{'Items': 'Foo', 'Last 12 Months': 3.336}, {'Items': 'Barr', 'Last12Months': 0.005}, {'Items': 'Options'}])

In [6]: z
Out[6]: 
     Items  Last 12 Months
0      Foo           3.336
1     Barr           0.005
2  Options             NaN

In [7]: df = df.append(z, ignore_index = True)

In [8]: df
Out[8]: 
          Items  Last 12 Months
0         Apple          48.674
1  Dragon Fruit           8.786
2          Milk           2.367
3           Foo           3.336
4          Barr           0.005
5       Options             NaN

In [9]: prev_len = len(df) - len(z)

In [10]: df = df.reindex(range(prev_len, len(df)) + range(prev_len))

In [11]: df
Out[11]: 
          Items  Last 12 Months
3           Foo           3.336
4          Barr           0.005
5       Options             NaN
0         Apple          48.674
1  Dragon Fruit           8.786
2          Milk           2.367

重新排序Python Pandas Dataframe中的行

1 个答案: