如何重命名 Python Pandas 中的索引行？
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How do I rename an index row in Python Pandas?
提问by ScoutEU
I see how to rename columns, but I want to rename an index (row name) that I have in a data frame.
我了解如何重命名列，但我想重命名数据框中的索引（行名称）。
I had a table with 350 rows in it, I then added a total to the bottom. I then removed every row except the last row.
我有一个包含 350 行的表格，然后我在底部添加了总数。然后我删除了除最后一行之外的每一行。
-------------------------------------------------
| | A | B | C |
-------------------------------------------------
| TOTAL | 1243 | 423 | 23 |
-------------------------------------------------
So I have the row called 'Total', and then several columns. I want to rename the word 'Total' to something else.
所以我有一个名为“总计”的行，然后是几列。我想将“总计”一词重命名为其他名称。
Is this even possible?
这甚至可能吗？
Many thanks
非常感谢
回答by SGhaleb
Easy as this...
就这么简单...
df.index.name = 'Name'
回答by mforez
You could use a dictionary structure with rename(), for example,
rename()例如，您可以使用带有 的字典结构，
In [1]: import pandas as pd
df = pd.Series([1, 2, 3])
df
Out[1]: 0 1
1 2
2 3
dtype: int64
In [2]: df.rename({1: 3, 2: 'total'})
Out[2]: 0 1
3 2
total 3
dtype: int64
