pandas 从数据框中删除顶行
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时间：2020-09-14 05:52:08 来源:igfitidea点击:
Remove top row from a dataframe
提问by SBad
I have a dataframe that looks like this:
我有一个看起来像这样的数据框：
level_0 level_1 Repo Averages for 27 Jul 2018
0 Business Date Instrument Ccy
1 27/07/2018 GC_AUSTRIA_SUB_10YR EUR
2 27/07/2018 R_RAGB_1.15_10/18 EUR
3 27/07/2018 R_RAGB_4.35_03/19 EUR
4 27/07/2018 R_RAGB_1.95_06/19 EUR
I am trying to get rid of the top row and only keep
我试图摆脱顶行，只保留
Business Date Instrument Ccy
0 27/07/2018 GC_AUSTRIA_SUB_10YR EUR
1 27/07/2018 R_RAGB_1.15_10/18 EUR
2 27/07/2018 R_RAGB_4.35_03/19 EUR
3 27/07/2018 R_RAGB_1.95_06/19 EUR
I tried df.columns.droplevel(0)but not successful any help is more than welcome
我试过df.columns.droplevel(0)但没有成功任何帮助都非常受欢迎
采纳答案by Joe
You can try so:
你可以试试：
df.columns = df.iloc[0]
df = df.reindex(df.index.drop(0)).reset_index(drop=True)
df.columns.name = None
Output:
输出：
Business Date Instrument Ccy
0 27/07/2018 GC_AUSTRIA_SUB_10YR EUR
1 27/07/2018 R_RAGB_1.15_10/18 EUR
2 27/07/2018 R_RAGB_4.35_03/19 EUR
3 27/07/2018 R_RAGB_1.95_06/19 EUR
