numpy 如何隐藏Pandas Dataframe 的索引列？

anauzrmj 于 2022-12-26 发布在其他

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请帮助，我需要删除“日期”索引列，否则“日期”将出现在第一列的操作

heat_ds = pd.DataFrame(columns=['PFE','GS','BA','NKE','V','AAPL','TSLA','NVDA','MRK','CVX','UNH'])

heat_ds['PFE'] = pfizer['Close']

heat_ds['GS'] = goldmans['Close']

heat_ds['BA'] = boeingc['Close']

heat_ds['NKE'] = nike['Close']

heat_ds['V'] = visa['Close']

heat_ds['AAPL'] = aaple['Close']

heat_ds['TSLA'] = tesla['Close']

heat_ds['NVDA'] = tesla['Close']

heat_ds['MRK'] = tesla['Close']

heat_ds['CVX'] = chevronc['Close']

heat_ds['UNH'] = unitedh['Close']

numpy

来源：https://stackoverflow.com/questions/74915083/how-to-hide-the-index-column-of-a-pandas-dataframe

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按热度按时间

gfttwv5a1#

首先，date代表索引。要删除它，首先重置索引，从 Dataframe 的索引中删除date，使其成为普通列，然后删除该列。

heat_ds = heat_ds.reset_index()
heat_ds = heat_ds.drop('index', axis=1)

或在一行中

heat_ds = heat_ds.reset_index(drop=True)

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numpy 如何隐藏Pandas Dataframe 的索引列？

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