如何將行標題附加到python中的數據框。行的名稱應該從字典

Question

採取我有這樣一個數據幀：

 1   2   3 
0.950389665 0.29695614 0.250323227 
0.228821863 0.544082251 0.809445825 
0.595764836 0.726256844 0.301979059 
0.12775065 0.307534453 0.7791458 
0.538780306 0.651055165 0.8450824 
0.674011952 0.03239639 0.650357821 
0.257926954 0.828308299 0.526425688 

我想通過讀字典詞典的價值

字典附上行名稱爲上述數據幀：

[dict_values(['First', 'Second', 'Third', 'Fourth', 'Fifth', 'Sixth', 'Seventh'])] 

這是我使用的代碼：

Result_matrix = df.set_index([dictionary.values()]) 

不過，我得到以下錯誤：

Traceback (most recent call last): 

    File "<ipython-input-79-dc4a38b0a2d5>", line 1, in <module> 
    enrond_matrix = enrond_dataframe.set_index([ reverse_dictionary.values()]) 

    File "C:\Users\30295\AppData\Local\Continuum\Anaconda3\envs\tensorflow\lib\site-packages\pandas\core\frame.py", line 2830, in set_index 
    level = frame[col]._values 

    File "C:\Users\30295\AppData\Local\Continuum\Anaconda3\envs\tensorflow\lib\site-packages\pandas\core\frame.py", line 1964, in __getitem__ 
    return self._getitem_column(key) 

    File "C:\Users\30295\AppData\Local\Continuum\Anaconda3\envs\tensorflow\lib\site-packages\pandas\core\frame.py", line 1971, in _getitem_column 
    return self._get_item_cache(key) 

    File "C:\Users\30295\AppData\Local\Continuum\Anaconda3\envs\tensorflow\lib\site-packages\pandas\core\generic.py", line 1645, in _get_item_cache 
    values = self._data.get(item) 

    File "C:\Users\30295\AppData\Local\Continuum\Anaconda3\envs\tensorflow\lib\site-packages\pandas\core\internals.py", line 3590, in get 
    loc = self.items.get_loc(item) 

    File "C:\Users\30295\AppData\Local\Continuum\Anaconda3\envs\tensorflow\lib\site-packages\pandas\core\indexes\base.py", line 2444, in get_loc 
    return self._engine.get_loc(self._maybe_cast_indexer(key)) 

    File "pandas\_libs\index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc (pandas\_libs\index.c:5280) 

    File "pandas\_libs\index.pyx", line 156, in pandas._libs.index.IndexEngine.get_loc (pandas\_libs\index.c:5210) 

請幫助我。

如果可能的話我希望有最終的結果作爲numpy的陣列（矩陣形式）

Answer 1

你需要轉換爲list第一：

Result_matrix = df.set_index([list(d.values())]) 
print (Result_matrix) 
       1   2   3 
First 0.950390 0.296956 0.250323 
Second 0.228822 0.544082 0.809446 
Third 0.595765 0.726257 0.301979 
Fourth 0.127751 0.307534 0.779146 
Fifth 0.538780 0.651055 0.845082 
Sixth 0.674012 0.032396 0.650358 
Seventh 0.257927 0.828308 0.526426 

或分配輸出：

df.index = d.values() 
print (df) 
       1   2   3 
First 0.950390 0.296956 0.250323 
Second 0.228822 0.544082 0.809446 
Third 0.595765 0.726257 0.301979 
Fourth 0.127751 0.307534 0.779146 
Fifth 0.538780 0.651055 0.845082 
Sixth 0.674012 0.032396 0.650358 
Seventh 0.257927 0.828308 0.526426 

最後爲numpy陣列添加values，但有關行名稱的信息丟失：

print (Result_matrix.values) 
[[ 0.95038966 0.29695614 0.25032323] 
[ 0.22882186 0.54408225 0.80944582] 
[ 0.59576484 0.72625684 0.30197906] 
[ 0.12775065 0.30753445 0.7791458 ] 
[ 0.53878031 0.65105517 0.8450824 ] 
[ 0.67401195 0.03239639 0.65035782]