重新排列Dataframe列包含字符串和編號升序

我嘗試使用sort_index重新排列列，但它不像我所希望的那樣行事。重新排列Dataframe列包含字符串和編號升序

整理後，重新排序如下：

>>> list(df) 
['blocks_written_1', 
'blocks_written_10', 
'blocks_written_11', 
'blocks_written_12', 
'blocks_written_2', 
'blocks_written_3', 
'blocks_written_4', 
'blocks_written_5', 
'blocks_written_6', 
'blocks_written_7', 
'blocks_written_8', 
'blocks_written_9']

但我尋找類似如下：

blocks_written_1, 
blocks_written_2, 
.., 
blocks_written_9, 
blocks_written_10, 
blocks_written_11, 
blocks_written_12

感謝任何幫助！

來源

2017-09-26 aravindhan Selvan

https://stackoverflow.com/questions/11067027/python-pandas-re-ordering-columns-in-a-dataframe-based-on-column-name這應該工作 –

@GauravTaneja的解決方案上面的鏈接將導致OP的排序列表中不是所需的結果（由於文本整數如何排序）。 – Alexander

忘了補充，在我提供的鏈接中，@Jeremy Low提供了一個解決這個問題的答案。非常感謝您指出它！ –

# Create sample data. 
n = ['1', '10', '11', '12', '2', '3', '4', '5', '6', '7', '8', '9'] 
initial_cols = ['blocks_written_{}'.format(i) for i in n] 
np.random.seed(0) 
df = pd.DataFrame(np.random.randn(5, len(initial_cols)), columns=initial_cols) 

# Split column names on underscore and take integer of last item. 
cols = [(col, int(col.split('_')[-1])) for col in df] 
# Sort column name, integer tuple pairs on integer value. 
cols.sort(key=lambda x: x[1]) 

# Rearrange dataframe based on new column order. 
df = df[[col[0] for col in cols]] 

>>> df 
    blocks_written_1 blocks_written_2 blocks_written_3 blocks_written_4 \ 
0   1.764052   1.867558   -0.977278   0.950088 
1   0.761038   1.494079   -0.205158   0.313068 
2   2.269755   1.532779   1.469359   0.154947 
3   1.230291   -1.048553   -1.420018   -1.706270 
4   -1.613898   -0.510805   -1.180632   -0.028182 

    blocks_written_5 blocks_written_6 blocks_written_7 blocks_written_8 \ 
0   -0.151357   -0.103219   0.410599   0.144044 
1   -0.854096   -2.552990   0.653619   0.864436 
2   0.378163   -0.887786   -1.980796   -0.347912 
3   1.950775   -0.509652   -0.438074   -1.252795 
4   0.428332   0.066517   0.302472   -0.634322 

    blocks_written_9 blocks_written_10 blocks_written_11 blocks_written_12 
0   1.454274   0.400157   0.978738   2.240893 
1   -0.742165   0.121675   0.443863   0.333674 
2   0.156349   -1.454366   0.045759   -0.187184 
3   0.777490   1.202380   -0.387327   -0.302303 
4   -0.362741   -0.212740   -0.895467   0.386902

來源

2017-09-26 23:29:28 Alexander

重新排列Dataframe列包含字符串和編號升序

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