在 Pandas 中将特定列转换为行名称
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Convert a specific column into row names in Pandas
提问by pdubois
I have this DF
我有这个 DF
print(df)
head0 head1 head2 head3
0 bar 32 3 100
1 bix 22 NaN NaN
2 foo 11 1 NaN
3 qux NaN 10 NaN
4 xoo NaN 2 20
What I want to do use to use head0as row names:
我想要做的head0用作行名：
head1 head2 head3
bar 32 3 100
bix 22 NaN NaN
foo 11 1 NaN
qux NaN 10 NaN
xoo NaN 2 20
How can I achieve that?
我怎样才能做到这一点？
回答by EdChum
Just to expand on nitin's answer set_index:
只是为了扩展 nitin 的回答set_index：
In [100]:
df.set_index('head0')
Out[100]:
head1 head2 head3
head0
bar 32 3 100
bix 22 NaN NaN
foo 11 1 NaN
qux NaN 10 NaN
xoo NaN 2 20
Note that this returns the df, so you either have to assign back to the df like: df = df.set_index('head0')or set param inplace=True: df.set_index('head0', inplace=True)
请注意，这将返回 df，因此您必须将其分配回 df，例如：df = df.set_index('head0')或设置 param inplace=True：df.set_index('head0', inplace=True)
You can also directly assign to the index:
您也可以直接分配给索引：
In [99]:
df.index = df['head0']
df
Out[99]:
head0 head1 head2 head3
head0
bar bar 32 3 100
bix bix 22 NaN NaN
foo foo 11 1 NaN
qux qux NaN 10 NaN
xoo xoo NaN 2 20
Note that doing the above will require you to drop the extraneous 'head0' column which can be done by calling droplike so: df.drop('head0', axis=1)
请注意，执行上述操作将要求您删除无关的“head0”列，这可以通过如下调用来完成drop：df.drop('head0', axis=1)
回答by nitin
You can use the set_index method for the dataframe, like so
您可以对数据帧使用 set_index 方法，就像这样
df.set_index(df.head0)
