我有這個包含 EOD 股票價格的數據集 YAR.OL NHY.OL ... DNB.OL SBO.OLdate ... 1986-03-13 NaN NaN ... NaN NaN1986-03-14 NaN NaN ... NaN NaN1986-03-17 NaN NaN ... NaN NaN1986-03-18 NaN NaN ... NaN NaN1986-03-19 NaN NaN ... NaN NaN... ... ... ... ... ...2020-07-24 377.799988 26.740000 ... 144.500000 51.0000002020-07-27 381.799988 26.350000 ... 142.199997 50.5999982020-07-28 382.399994 26.490000 ... 142.000000 50.2000012020-07-29 377.899994 26.389999 ... 142.100006 50.7999992020-07-30 372.000000 25.049999 ... 137.149994 49.799999索引是日期。但是當我嘗試做df.loc[['2020-07-29']]我收到一條錯誤消息：KeyError: '2010-07-29'或者當我這樣做時：df.loc[['2010-06-29']]我得到KeyError：“[Index(['2010-06-29'], dtype='object', name='date')] 都不在 [index] 中”我在打印df.index的時候檢查了索引，這個值是存在的。Index([1986-03-13, 1986-03-14, 1986-03-17, 1986-03-18, 1986-03-19, 1986-03-20, 1986-03-21, 1986-03-24, 1986-03-25, 1986-03-26, ... 2020-07-17, 2020-07-20, 2020-07-21, 2020-07-22, 2020-07-23, 2020-07-24, 2020-07-27, 2020-07-28, 2020-07-29, 2020-07-30], dtype='object', name='date', length=8667)有誰知道為什么會這樣？
2 回答
哆啦的時光機
TA貢獻1779條經驗 獲得超6個贊
讓我們將索引的 dtype 更改為 datetime 以為數據框創建 DateTimeIndex。
df.index = pd.to_datetime(df.index)
現在，讓我們使用df.loc['2010-07-29'].
慕蓋茨4494581
TA貢獻1850條經驗 獲得超11個贊
嘗試這樣訪問：
df.loc[df['date'] == '2010-06-29']
完整示例：
import pandas as pd
if __name__ == '__main__':
d = {'date': ['2020-08-01', '2020-08-02'], 'test': [3, 4]}
df = pd.DataFrame(data=d)
test = df.loc[df['date'] == '2020-08-01']
print (test)
結果：
date test
0 2020-08-01 3
添加回答
舉報
0/150
提交
取消