我有一个df
,它有一个多索引[(纬度、经度、时间)],行数为148x244x90x24。对于每个纬度和经度,时间为每小时一次,从2014-01-01 00:00:00到2014:03:31 23:00:00
FFDI isInRange
latitude longitude time
-39.20000 140.80000 2014-01-01 00:00:00 6.20000 True
2014-01-01 01:00:00 4.10000 True
2014-01-01 02:00:00 2.40000 True
2014-01-01 03:00:00 1.90000 True
2014-01-01 04:00:00 1.70000 True
2014-01-01 05:00:00 1.50000 True
2014-01-01 06:00:00 1.40000 True
2014-01-01 07:00:00 1.30000 True
2014-01-01 08:00:00 1.20000 True
2014-01-01 09:00:00 1.00000 True
2014-01-01 10:00:00 1.00000 True
2014-01-01 11:00:00 0.90000 True
2014-01-01 12:00:00 0.90000 True
... ... ... ...
2014-03-31 21:00:00 0.30000 False
2014-03-31 22:00:00 0.30000 False
2014-03-31 23:00:00 0.50000 False
140.83786 2014-01-01 00:00:00 3.20000 True
2014-01-01 01:00:00 2.90000 True
2014-01-01 02:00:00 2.10000 True
2014-01-01 03:00:00 2.90000 True
2014-01-01 04:00:00 1.20000 True
2014-01-01 05:00:00 0.90000 True
2014-01-01 06:00:00 1.10000 True
2014-01-01 07:00:00 1.60000 True
2014-01-01 08:00:00 1.40000 True
2014-01-01 09:00:00 1.50000 True
2014-01-01 10:00:00 1.20000 True
2014-01-01 11:00:00 0.80000 True
2014-01-01 12:00:00 0.40000 True
... ... ... ...
2014-03-31 21:00:00 0.30000 False
2014-03-31 22:00:00 0.30000 False
2014-03-31 23:00:00 0.50000 False
... ... ... ...
... ... ...
-33.90000 140.80000 2014-01-01 00:00:00 6.20000 True
2014-01-01 01:00:00 4.10000 True
2014-01-01 02:00:00 2.40000 True
2014-01-01 03:00:00 1.90000 True
2014-01-01 04:00:00 1.70000 True
2014-01-01 05:00:00 1.50000 True
2014-01-01 06:00:00 1.40000 True
2014-01-01 07:00:00 1.30000 True
2014-01-01 08:00:00 1.20000 True
2014-01-01 09:00:00 1.00000 True
2014-01-01 10:00:00 1.00000 True
2014-01-01 11:00:00 0.90000 True
2014-01-01 12:00:00 0.90000 True
... ... ... ...
2014-03-31 21:00:00 0.30000 False
2014-03-31 22:00:00 0.30000 False
2014-03-31 23:00:00 0.50000 False
140.83786 2014-01-01 00:00:00 3.20000 True
2014-01-01 01:00:00 2.90000 True
2014-01-01 02:00:00 2.10000 True
2014-01-01 03:00:00 2.90000 True
2014-01-01 04:00:00 1.20000 True
2014-01-01 05:00:00 0.90000 True
2014-01-01 06:00:00 1.10000 True
2014-01-01 07:00:00 1.60000 True
2014-01-01 08:00:00 1.40000 True
2014-01-01 09:00:00 1.50000 True
2014-01-01 10:00:00 1.20000 True
2014-01-01 11:00:00 0.80000 True
2014-01-01 12:00:00 0.40000 True
... ... ... ...
2014-03-31 21:00:00 0.30000 False
2014-03-31 22:00:00 0.30000 False
2014-03-31 23:00:00 0.50000 False
78001920 rows × 1 columns
我想要实现的是,在以下条件下,计算每个纬度和经度每24小时的每日最大FFDI值:
If isInRange = True for all 24 hours/rows in the group - use FFDI from 13:00:00 of previous day to 12:00:00 of next day
If isInRange = False for all 24 hours/rows in the group - use FFDI from 14:00:00 of previous day to 13:00:00 of next day
那么我的代码是:
df_daily_max = df.groupby(['latitude', 'longitude', pd.Grouper(freq='24H',base=13,loffset='11H',label='right',level='time')])['FFDI'].max().reset_index(name='Max FFDI') if df['isInRange'] else isInRange.groupby(['latitude', 'longitude', pd.Grouper(freq='24H',base=14,loffset='10H',label='right',level='time')])['FFDI'].max().reset_index(name='Max FFDI')
但是,此行引发了一个错误:
ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
您可以先筛选所有} 连接,按} 转换为
True
行,然后筛选所有False
行以进行聚合max
,然后按^{MultiIndex
排序,并按^{DataFrame
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