Pandas - 删除列索引的标签
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Pandas - remove the label of the column index
提问by user9588528
I have a dataframe as follows:
我有一个数据框如下：
PLEASE_REMOVE 2013 2014 2015
THIS_IS_EASY
-------------------------------
Bob 0 3 4
Mary 2 3 6
The years (2013, 2014, 2015) are the column index labels. The names (Mary, Bob) are the row index labels.
年份 (2013, 2014, 2015) 是列索引标签。名字 (Mary, Bob) 是行索引标签。
I have somehow managed to get labels for the row indices and column indices.
我以某种方式设法获得了行索引和列索引的标签。
Using df.index.names = ['']I can remove the THIS_IS_EASY bit.
使用df.index.names = ['']I 可以删除 THIS_IS_EASY 位。
How can I remove the PLEASE_REMOVE bit?
如何删除 PLEASE_REMOVE 位？
Desired output is:
期望的输出是：
2013 2014 2015
-------------------------------
Bob 0 3 4
Mary 2 3 6
回答by Peter Leimbigler
Simply delete the name of the columns:
只需删除列的名称：
del df.columns.name
Also, note that df.index.names = ['']is not quite the same as del df.index.name.
另请注意，df.index.names = ['']这与del df.index.name.
回答by Rocky Li
Like this:
像这样：
df = df.rename_axis(None)
This will get rid of everything on the top left. you can also do it in place: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.rename_axis.html
这将摆脱左上角的所有内容。你也可以就地做：https: //pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.rename_axis.html
回答by Ian Logie
In Pandas 1.0.3 the following works:
在 Pandas 1.0.3 中，以下工作：
df.columns.name = None
The 'accepted answer' above, del df.columns.name, leads to: 'AttributeError: can't delete attribute'
上面的“接受的答案”del df.columns.name导致：“AttributeError: can't delete attribute”
