[英]Dropping the first column in Pandas
command description
0 aaa ikegroup WORD Name of the IKE group
1 aaa ikegroup <cr>
0 aaa locald trace Show trace data for the locald component(cisco...
0 aaa login trace Show trace data for login sub system
0 aaa password-policy statistics Show statistics related to password policy
1 aaa password-policy WORD Name of the Password Policy
Above is how my dataframe looks like. 以上是我的数据框的外观。 I want to get rid of the very first column which has numbers, not the command
column. 我想摆脱具有数字的第一列,而不是command
列。 However, when I do this: 但是,当我这样做时:
df2 = df.drop([df.columns[0]], axis='columns')
This drops the command
column, not the ones with the index. 这将删除command
列,而不是带有索引的列。
How can I drop the first one? 如何删除第一个?
IIUC, your first column is just your index. IIUC,您的第一列就是您的索引。 You can always hide in your notebook it with 您可以随时将其隐藏在笔记本中
df.style.hide_index()
but not sure if that brings much value. 但不确定是否会带来很多价值。
If you're writing to a file (eg to_csv
), you can always set index=False
to ignore it, like 如果要写入文件(例如to_csv
),则可以始终将index=False
设置为忽略它,例如
df.to_csv('file.csv', index=False)
You can also assign any column as index: 您还可以将任何列分配为索引:
df.set_index('command', inplace=True)
Other useful commands: 其他有用的命令:
# reset the index
df.reset_index(inplace=True, drop=True)
# sort by index
df.sort_index(inplace=True)
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