我得到了一个函数来返回包含Panda DataFrame的数据，如下所示
RSI
Date
2023-10-02 00:00:00+11:00 NaN
2023-10-03 00:00:00+11:00 NaN
2023-10-04 00:00:00+11:00 NaN
2023-10-05 00:00:00+11:00 NaN
2023-10-06 00:00:00+11:00 NaN
2023-10-09 00:00:00+11:00 NaN
2023-10-10 00:00:00+11:00 NaN
2023-10-11 00:00:00+11:00 NaN
2023-10-12 00:00:00+11:00 NaN
2023-10-13 00:00:00+11:00 NaN
2023-10-16 00:00:00+11:00 NaN
2023-10-17 00:00:00+11:00 NaN
2023-10-18 00:00:00+11:00 NaN
2023-10-19 00:00:00+11:00 NaN
2023-10-20 00:00:00+11:00 47.058827
2023-10-23 00:00:00+11:00 50.212766
2023-10-24 00:00:00+11:00 47.185484
2023-10-25 00:00:00+11:00 44.308668
2023-10-26 00:00:00+11:00 44.308668
2023-10-27 00:00:00+11:00 44.308668
2023-10-30 00:00:00+11:00 44.308668字符串
我想删除标题的第一行，并添加标题名称的第二列“RSI”如下。我已经谷歌了很多，试图使用df.iloc[0]等，但没有成功。
Date RSI
2023-10-02 00:00:00+11:00 NaN
2023-10-03 00:00:00+11:00 NaN
2023-10-04 00:00:00+11:00 NaN
2023-10-05 00:00:00+11:00 NaN
2023-10-06 00:00:00+11:00 NaN
2023-10-09 00:00:00+11:00 NaN
2023-10-10 00:00:00+11:00 NaN
2023-10-11 00:00:00+11:00 NaN
2023-10-12 00:00:00+11:00 NaN
2023-10-13 00:00:00+11:00 NaN
2023-10-16 00:00:00+11:00 NaN
2023-10-17 00:00:00+11:00 NaN
2023-10-18 00:00:00+11:00 NaN
2023-10-19 00:00:00+11:00 NaN
2023-10-20 00:00:00+11:00 47.058827
2023-10-23 00:00:00+11:00 50.212766
2023-10-24 00:00:00+11:00 47.185484
2023-10-25 00:00:00+11:00 44.308668
2023-10-26 00:00:00+11:00 44.308668
2023-10-27 00:00:00+11:00 44.308668
2023-10-30 00:00:00+11:00 44.308668型
以下是我的代码：
rsiData = getRSI(asx_stock)
print("rsiData type:", type(rsiData))
df = pd.DataFrame(data=rsiData)
print(df)
monthly_rsiData_html = Markup(df.to_html())型
任何人都可以帮助我解决这个问题，将不胜感激？提前谢谢你
1条答案
按热度按时间7cwmlq891#
似乎Pandas使用日期作为索引。试试：
字符串
否则，正如@Nick在评论中建议的那样：
df.reset_index()