我对重新采样功能有问题，它适用于某些时间范围，但不适用于其他时间范围
它不适用于 5 小时或 10 小时的间隔，开始正常，然后更改为错误的日期时间
d = {'Open': 'first', 'High': 'max', 'Low': 'min', 'Close': 'last'}
df = read.resample('5H').agg(d)
df
输出：
Open High Low Close
Date
2024-01-21 00:00:00 317.3 319.5 316.1 317.4
2024-01-21 05:00:00 317.4 319.4 317.2 319.0
2024-01-21 10:00:00 319.0 319.6 318.0 319.1
2024-01-21 15:00:00 319.1 321.6 317.5 320.6
2024-01-21 20:00:00 320.6 321.7 318.2 319.5
2024-01-22 01:00:00 319.5 320.1 314.1 317.2
2024-01-22 06:00:00 317.2 318.6 310.7 312.8
2024-01-22 11:00:00 312.8 315.3 308.4 311.1
2024-01-22 16:00:00 311.2 312.5 303.6 308.5
2024-01-22 21:00:00 308.5 308.7 304.8 308.2
2024-01-23 02:00:00 308.1 311.7 308.1 309.9
2024-01-23 07:00:00 310.0 310.2 291.7 295.9
从第二天开始就可以了 2024-01-22
并且可以正常工作，间隔为 2 小时或 3 小时或 4 小时或 6 小时
d = {'Open': 'first', 'High': 'max', 'Low': 'min', 'Close': 'last'}
df = read.resample('4H').agg(d)
df
输出：
2024-01-21 00:00:00 317.3 319.5 316.1 318.5
2024-01-21 04:00:00 318.5 318.9 317.2 317.5
2024-01-21 08:00:00 317.5 319.6 317.3 319.3
2024-01-21 12:00:00 319.3 319.6 317.5 318.9
2024-01-21 16:00:00 318.9 321.6 317.9 320.6
2024-01-21 20:00:00 320.6 321.7 318.2 318.6
2024-01-22 00:00:00 318.7 320.3 315.3 316.7
2024-01-22 04:00:00 316.7 318.6 314.1 317.8
2024-01-22 08:00:00 317.9 317.9 310.7 313.5
2024-01-22 12:00:00 313.4 315.3 308.4 311.1
2024-01-22 16:00:00 311.2 312.5 303.6 306.6
如果您想
resamplenormalizegroupby.resampleN = 1000
df = pd.DataFrame(np.random.random((N, 4)),
columns=['Open', 'High', 'Low', 'Close'],
index=pd.date_range('2024-01-21', periods=N, freq='10min')
.rename('Date')
)
d = {'Open': 'first', 'High': 'max', 'Low': 'min', 'Close': 'last'}
out = (df.groupby(df.index.normalize(), group_keys=False)
.resample('5h', origin='start_day').agg(d)
)
输出示例：
Open High Low Close
Date
2024-01-21 00:00:00 0.854852 0.991030 0.001056 0.434836
2024-01-21 05:00:00 0.423933 0.993614 0.024808 0.970102
2024-01-21 10:00:00 0.114825 0.992917 0.000970 0.423687
2024-01-21 15:00:00 0.368081 0.934378 0.019684 0.474279
2024-01-21 20:00:00 0.618224 0.991313 0.004855 0.828402
2024-01-22 00:00:00 0.314505 0.981417 0.015882 0.672777
2024-01-22 05:00:00 0.637003 0.928499 0.018432 0.081630
2024-01-22 10:00:00 0.798733 0.939966 0.002545 0.779787
2024-01-22 15:00:00 0.786353 0.980841 0.007235 0.622986
2024-01-22 20:00:00 0.455437 0.985423 0.207164 0.492761
2024-01-23 00:00:00 0.759215 0.943299 0.012884 0.610557
2024-01-23 05:00:00 0.491669 0.907216 0.022135 0.204769
2024-01-23 10:00:00 0.035259 0.950254 0.020136 0.533030
2024-01-23 15:00:00 0.977045 0.958560 0.000002 0.791182
2024-01-23 20:00:00 0.327000 0.953044 0.021118 0.559102
2024-01-24 00:00:00 0.730636 0.935785 0.004056 0.338256
2024-01-24 05:00:00 0.539044 0.903956 0.053925 0.022443
2024-01-24 10:00:00 0.315928 0.939252 0.004503 0.738087
2024-01-24 15:00:00 0.455187 0.946352 0.084940 0.370417
2024-01-24 20:00:00 0.373350 0.992475 0.003233 0.813431
2024-01-25 00:00:00 0.937217 0.975881 0.013434 0.394555
2024-01-25 05:00:00 0.805051 0.971622 0.066913 0.249198
2024-01-25 10:00:00 0.271297 0.908170 0.028149 0.002023
2024-01-25 15:00:00 0.136134 0.946287 0.014009 0.918888
2024-01-25 20:00:00 0.128861 0.940258 0.004101 0.783039
2024-01-26 00:00:00 0.663781 0.967509 0.015381 0.151662
2024-01-26 05:00:00 0.697951 0.914169 0.056867 0.594478
2024-01-26 10:00:00 0.919909 0.976555 0.038070 0.161614
2024-01-26 15:00:00 0.149704 0.974648 0.047376 0.664060
2024-01-26 20:00:00 0.879085 0.996539 0.077073 0.580693
2024-01-27 00:00:00 0.172167 0.953116 0.012676 0.821176
2024-01-27 05:00:00 0.966948 0.964718 0.042488 0.130513
2024-01-27 10:00:00 0.720802 0.932359 0.013581 0.640035
2024-01-27 15:00:00 0.864662 0.981908 0.021083 0.640291
2024-01-27 20:00:00 0.090283 0.912008 0.014249 0.558703