如何设置 5 分钟滚动平均值 window 以使用 Pandas Python 重新采样数据
How to set the 5 minutes rolling mean window to re-sample data with Pandas Python
如何设置 5 分钟 window 大小以通过滚动平均值对数据重新采样?我尝试了不同的方法,但我总是得到关于 DateTimeIndex 的错误,即使我的数据有索引作为 DateTimeIndex..
有谁知道正确的做法吗??
数据
index Speed rolling_meanVal
DateTime
1/1/2011 0:04 2165 0.057579 NaN
1/1/2011 0:07 3438 0.044646 NaN
1/1/2011 0:10 4713 0.043154 NaN
1/1/2011 0:13 6054 0.014403 NaN
1/1/2011 0:16 7385 0.038972 0.039751
1/1/2011 0:19 8734 0.019927 0.036447
1/1/2011 0:21 10045 0.039548 0.03689
1/1/2011 0:24 11374 0.089709 0.043492
1/1/2011 0:27 12661 0.102816 0.050084
1/1/2011 0:30 13960 0.119699 0.057045
1/1/2011 0:33 15261 0.095108 0.060505
1/1/2011 0:36 16579 0.051854 0.059784
1/1/2011 0:40 17848 0.035654 0.057928
1/1/2011 0:43 19163 0.083695 0.059769
1/1/2011 0:46 20458 0.091149 0.061861
1/1/2011 0:49 21784 0.082233 0.063134
1/1/2011 0:52 23105 0.043388 0.061972
1/1/2011 0:55 24415 0.032073 0.060311
1/1/2011 0:58 25689 0.108548 0.06285
1/1/2011 0:59 27117 0.140965 0.066756
1/1/2011 1:02 28492 0.029816 0.065368
1/1/2011 1:05 29861 0.028124 0.064542
1/1/2011 1:09 31195 0.042464 0.064507
1/1/2011 1:12 32471 0.065898 0.067082
1/1/2011 1:15 33793 0.128899 0.071578
1/1/2011 1:18 35094 0.019488 0.071556
1/1/2011 1:21 36407 0.041034 0.071631
1/1/2011 1:24 37728 0.038828 0.069087
1/1/2011 1:27 39053 0.039328 0.065912
1/1/2011 1:30 40340 0.080378 0.063946
这里是示例数据,如果我想取 window 大小的 5 分钟的滚动平均值?
我尝试了代码
result_frame['Speed'].rolling(window=20,min_periods=5).mean().rename('rollingmenaVal')
但是不明白怎么设置5分钟的频率?任何帮助
你的 window 将 '5T'
,持续 5 分钟,
df['rollingmeanVal'] = df.rolling('5T').Speed.mean()
index Speed rollingmeanVal
DateTime
2011-01-01 00:04:00 2165 0.057579 0.057579
2011-01-01 00:07:00 3438 0.044646 0.051112
2011-01-01 00:10:00 4713 0.043154 0.043900
2011-01-01 00:13:00 6054 0.014403 0.028779
2011-01-01 00:16:00 7385 0.038972 0.026687
2011-01-01 00:19:00 8734 0.019927 0.029449
2011-01-01 00:21:00 10045 0.039548 0.029738
2011-01-01 00:24:00 11374 0.089709 0.064629
2011-01-01 00:27:00 12661 0.102816 0.096263
2011-01-01 00:30:00 13960 0.119699 0.111258
2011-01-01 00:33:00 15261 0.095108 0.107404
2011-01-01 00:36:00 16579 0.051854 0.073481
2011-01-01 00:40:00 17848 0.035654 0.043754
2011-01-01 00:43:00 19163 0.083695 0.059675
2011-01-01 00:46:00 20458 0.091149 0.087422
2011-01-01 00:49:00 21784 0.082233 0.086691
2011-01-01 00:52:00 23105 0.043388 0.062811
2011-01-01 00:55:00 24415 0.032073 0.037731
2011-01-01 00:58:00 25689 0.108548 0.070311
2011-01-01 00:59:00 27117 0.140965 0.093862
2011-01-01 01:02:00 28492 0.029816 0.093110
2011-01-01 01:05:00 29861 0.028124 0.028970
2011-01-01 01:09:00 31195 0.042464 0.035294
2011-01-01 01:12:00 32471 0.065898 0.054181
2011-01-01 01:15:00 33793 0.128899 0.097399
2011-01-01 01:18:00 35094 0.019488 0.074194
2011-01-01 01:21:00 36407 0.041034 0.030261
2011-01-01 01:24:00 37728 0.038828 0.039931
2011-01-01 01:27:00 39053 0.039328 0.039078
2011-01-01 01:30:00 40340 0.080378 0.059853
如何设置 5 分钟 window 大小以通过滚动平均值对数据重新采样?我尝试了不同的方法,但我总是得到关于 DateTimeIndex 的错误,即使我的数据有索引作为 DateTimeIndex..
有谁知道正确的做法吗??
数据
index Speed rolling_meanVal
DateTime
1/1/2011 0:04 2165 0.057579 NaN
1/1/2011 0:07 3438 0.044646 NaN
1/1/2011 0:10 4713 0.043154 NaN
1/1/2011 0:13 6054 0.014403 NaN
1/1/2011 0:16 7385 0.038972 0.039751
1/1/2011 0:19 8734 0.019927 0.036447
1/1/2011 0:21 10045 0.039548 0.03689
1/1/2011 0:24 11374 0.089709 0.043492
1/1/2011 0:27 12661 0.102816 0.050084
1/1/2011 0:30 13960 0.119699 0.057045
1/1/2011 0:33 15261 0.095108 0.060505
1/1/2011 0:36 16579 0.051854 0.059784
1/1/2011 0:40 17848 0.035654 0.057928
1/1/2011 0:43 19163 0.083695 0.059769
1/1/2011 0:46 20458 0.091149 0.061861
1/1/2011 0:49 21784 0.082233 0.063134
1/1/2011 0:52 23105 0.043388 0.061972
1/1/2011 0:55 24415 0.032073 0.060311
1/1/2011 0:58 25689 0.108548 0.06285
1/1/2011 0:59 27117 0.140965 0.066756
1/1/2011 1:02 28492 0.029816 0.065368
1/1/2011 1:05 29861 0.028124 0.064542
1/1/2011 1:09 31195 0.042464 0.064507
1/1/2011 1:12 32471 0.065898 0.067082
1/1/2011 1:15 33793 0.128899 0.071578
1/1/2011 1:18 35094 0.019488 0.071556
1/1/2011 1:21 36407 0.041034 0.071631
1/1/2011 1:24 37728 0.038828 0.069087
1/1/2011 1:27 39053 0.039328 0.065912
1/1/2011 1:30 40340 0.080378 0.063946
这里是示例数据,如果我想取 window 大小的 5 分钟的滚动平均值? 我尝试了代码
result_frame['Speed'].rolling(window=20,min_periods=5).mean().rename('rollingmenaVal')
但是不明白怎么设置5分钟的频率?任何帮助
你的 window 将 '5T'
,持续 5 分钟,
df['rollingmeanVal'] = df.rolling('5T').Speed.mean()
index Speed rollingmeanVal
DateTime
2011-01-01 00:04:00 2165 0.057579 0.057579
2011-01-01 00:07:00 3438 0.044646 0.051112
2011-01-01 00:10:00 4713 0.043154 0.043900
2011-01-01 00:13:00 6054 0.014403 0.028779
2011-01-01 00:16:00 7385 0.038972 0.026687
2011-01-01 00:19:00 8734 0.019927 0.029449
2011-01-01 00:21:00 10045 0.039548 0.029738
2011-01-01 00:24:00 11374 0.089709 0.064629
2011-01-01 00:27:00 12661 0.102816 0.096263
2011-01-01 00:30:00 13960 0.119699 0.111258
2011-01-01 00:33:00 15261 0.095108 0.107404
2011-01-01 00:36:00 16579 0.051854 0.073481
2011-01-01 00:40:00 17848 0.035654 0.043754
2011-01-01 00:43:00 19163 0.083695 0.059675
2011-01-01 00:46:00 20458 0.091149 0.087422
2011-01-01 00:49:00 21784 0.082233 0.086691
2011-01-01 00:52:00 23105 0.043388 0.062811
2011-01-01 00:55:00 24415 0.032073 0.037731
2011-01-01 00:58:00 25689 0.108548 0.070311
2011-01-01 00:59:00 27117 0.140965 0.093862
2011-01-01 01:02:00 28492 0.029816 0.093110
2011-01-01 01:05:00 29861 0.028124 0.028970
2011-01-01 01:09:00 31195 0.042464 0.035294
2011-01-01 01:12:00 32471 0.065898 0.054181
2011-01-01 01:15:00 33793 0.128899 0.097399
2011-01-01 01:18:00 35094 0.019488 0.074194
2011-01-01 01:21:00 36407 0.041034 0.030261
2011-01-01 01:24:00 37728 0.038828 0.039931
2011-01-01 01:27:00 39053 0.039328 0.039078
2011-01-01 01:30:00 40340 0.080378 0.059853