如何向 Datetime Multiindex Panda Dataframe 添加一行

Question

How would I go about adding a row to the top of this dataframe. This is downloaded data. I cannot use a specific row index in the formula because the first Datetime indice changes all the time. I cannot also use a specific label for the inner index as it could be Datetime. Is there a way to generalize this?

I tried this

df[df.index.min()[0])) - dt.timedelta(minutes=5), :] = [list to add]

however it only add a row at the end of the Dataframe. Sorting,

df.sort_index(inplace=True)

did not help because I guess I am dealing with 2 levels of index here; which would explain why the row sticks to the bottom of the frame.

                        A      B      C        D     E

2006-04-28 00:00:00                                    
             A        69.62  69.62  6.518   65.09  69.62
             B
             C
2006-05-01 00:00:00  
            A         71.5   71.5  6.522   65.16   71.5
            B
            C
2006-05-02 00:00:00   
            A        72.34  72.34  6.669   66.55  72.34
            B
            C

最终结果应该是这样的： X是要添加的list/array中的元素。

                        A      B      C        D     E
        NEWROW          X1     X2    X3       X4    X5

2006-04-28 00:00:00                                    
             A        69.62  69.62  6.518   65.09  69.62
             B
             C
2006-05-01 00:00:00  
            A         71.5   71.5  6.522   65.16   71.5
            B
            C
2006-05-02 00:00:00   
            A        72.34  72.34  6.669   66.55  72.34
            B
            C

Answer 1

sort_index and sortlevel 对我来说不与 Multiindex:

一起工作

所以你可以使用小 hack - 首先 reset_index with second level Stats, then sort_index and last set_index 返回参数 append=True:

df1 = df1.sort_index()

df1.loc[((df1.index.min()[0]) -  dt.timedelta(minutes=5), 'SUM'),:] = 
df1.loc[(slice(None), slice('price')),:].sum()

df1 = df1.reset_index('Stats')
df1 = df1.sort_index(axis=0).set_index('Stats', append=True)
print (df1)
                                 A       B       C       D       E
Date                Stats                                         
2006-04-27 23:55:00 SUM     213.46  213.46  19.709  196.80  213.46
2006-04-28 00:00:00 price    69.62   69.62   6.518   65.09   69.62
                    std        NaN     NaN     NaN     NaN     NaN
                    weight     NaN     NaN     NaN     NaN     NaN
2006-05-01 00:00:00 price    71.50   71.50   6.522   65.16   71.50
                    std        NaN     NaN     NaN     NaN     NaN
                    weight     NaN     NaN     NaN     NaN     NaN
2006-05-02 00:00:00 price    72.34   72.34   6.669   66.55   72.34
                    std        NaN     NaN     NaN     NaN     NaN
                    weight     NaN     NaN     NaN     NaN     NaN

如何向 Datetime Multiindex Panda Dataframe 添加一行

how to add a row to a Datetime Multiindex Panda Dataframe

python

append

multi-index

dataframe

pandas