pandas 更改行顺序熊猫数据框
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Change rows order pandas data frame
提问by Gilbert
I have the following data frame in pandasin python3:
我在pandasin 中有以下数据框python3：
+------------------------------+
| total_sum | percent_of_total |
+--------------+------------------------------+
| Group | | |
+--------------+------------------------------+
| 11- | 99435 | 0.255880 |
+--------------+-----------+------------------+
| Bachelor+ | 64900 | 0.167010 |
+--------------+-----------+------------------+
| Just 12 | 162483 | 0.418124 |
+--------------+-----------+------------------+
| Some College | 61782 | 0.158986 |
+---------------------------------------------+
And I want to change the order of the rows including the indexes like so...
我想改变行的顺序，包括像这样的索引......
+------------------------------+
| total_sum | percent_of_total |
+--------------+------------------------------+
| Group | | |
+--------------+------------------------------+
| 11- | 99435 | 0.255880 |
+--------------+-----------+------------------+
| Just 12 | 162483 | 0.418124 |
+--------------+-----------+------------------+
| Some College | 61782 | 0.158986 |
+--------------+-----------+------------------+
| Bachelor+ | 64900 | 0.167010 |
+--------------+-----------+------------------+
I have tried to use .sort_index(['11-', 'Just 12', 'Some College', 'Bachelor+'])and I get the following error... TypeError: unhashable type: 'list'. So looks like pandas sort these indexes by alphabetic order. How can I re-order the rows?
我试图用.sort_index(['11-', 'Just 12', 'Some College', 'Bachelor+'])我碰到下面的错误...... TypeError: unhashable type: 'list'。所以看起来Pandas按字母顺序对这些索引进行排序。如何重新排序行？
