Python 按多列（时间序列、字符串列）分组失败
我有一个TimeSeries数据，我试图按月分组，然后是服务类型，所以基本上是在多个列上分组 我可以让每个groupby独立工作（参见下面的两种情况）。然而，当我尝试将这两个项目组合在一起时，它失败了，出现了以下异常（如下所示） 第一个groupby位于“服务”列上：Python 按多列（时间序列、字符串列）分组失败,python,pandas,pandas-groupby,Python,Pandas,Pandas Groupby,我有一个TimeSeries数据，我试图按月分组，然后是服务类型，所以基本上是在多个列上分组 我可以让每个groupby独立工作（参见下面的两种情况）。然而，当我尝试将这两个项目组合在一起时，它失败了，出现了以下异常（如下所示） 第一个groupby位于“服务”列上： df_service =df_mem[['service','amount']].groupby('service').agg(['sum','count'])
df_service =df_mem[['service','amount']].groupby('service').agg(['sum','count'])
sum count
service
10-Class Pack - $170+HST 1728.90 9
646 Blue T-shirt (stars) 25.00 1
646 Foundations + 12 classes $210+HST 237.30 1
646 Foundations + 8 Classes - $159+HST 876.38 5
646 Klawkov Tee, Wonder Woman Tee, 2 Drop-Ins 96.05 1
Bronze (8/mth) 1830.60 12
Bronze (8/mth) $135+HST 1121.07 10
Clothing - Sweatpants XL, Grey Hoodie L 94.27 2
Drop-In $20+HST 158.20 7
Gold (Unlimited) - $185+HST 1604.56 19
Leather lifting straps 25.00 1
Men's Dimas Tee, Large 28.25 1
Open Gym 220.35 3
Open Gym - $65+HST 83.07 3
Red 646 Raglan, Large 33.90 1
Silver 2237.40 12
Silver (12/mth) $165+HST 1294.28 13
Test 2.00 2
Thumb Tape 6.25 1
Unlimited Gold 6898.65 33
Women's Fleece Pants 48.59 1
Wonder Woman muscle tank (2) +HST 56.50 1
df_montly_service = df_mem.groupby([pd.Grouper(freq='M'),'service']).agg(['sum','count'])
Traceback (most recent call last):
File "C:/Users/Karunyan/PycharmProjects/646W/import_data.py", line 24, in <module>
df_montly_service = df_mem.groupby([pd.Grouper(freq='M'),'service']).agg(['sum','count'])
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\generic.py", line 3991, in groupby
**kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\groupby.py", line 1511, in groupby
return klass(obj, by, **kwds)
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\groupby.py", line 370, in __init__
mutated=self.mutated)
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\groupby.py", line 2484, in _get_grouper
if not isinstance(gpr, Grouping) else gpr
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\groupby.py", line 2262, in __init__
grouper = self.grouper._get_binner_for_grouping(self.obj)
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\tseries\resample.py", line 1102, in _get_binner_for_grouping
grouper = grouper.take(indexer)
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\tseries\base.py", line 379, in take
na_value=tslib.iNaT)
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\indexes\base.py", line 1539, in _assert_take_fillable
taken = values.take(indices)
IndexError: index 142 is out of bounds for size 142
df_mem.head(15)
member service option method amount ccy
date
2017-07-01 20:18:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 19:07:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 18:50:00 Names_coded_out Bronze (8/mth) subscription payment credit card 152.55 cad
2017-07-01 18:33:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 18:15:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 18:14:00 Names_coded_out Bronze (8/mth) subscription payment credit card 152.55 cad
2017-07-01 16:50:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 16:23:00 Names_coded_out Open Gym subscription payment failed credit card 73.45 cad
2017-07-01 16:09:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 15:22:00 Names_coded_out Silver (12/mth) $165+HST subscription prorate credit card 179.00 cad
2017-07-01 15:20:00 Names_coded_out Silver subscription payment credit card 186.45 cad
2017-07-01 14:36:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 14:14:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 14:06:00 Names_coded_out Silver subscription payment credit card 186.45 cad
2017-07-01 13:57:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
df_montly_service=df_mem.groupby（[pd.Grouper（freq='M'），'service']）.agg（['sum'，'count']））
回溯（最近一次呼叫最后一次）：
文件“C:/Users/Karunyan/PycharmProjects/646W/import_data.py”，第24行，在
df_montly_service=df_mem.groupby（[pd.Grouper（freq='M'），'service']）.agg（['sum'，'count']））
文件“C:\ProgramData\Anaconda3\lib\site packages\pandas\core\generic.py”，第3991行，在groupby中
**kwargs）
文件“C:\ProgramData\Anaconda3\lib\site packages\pandas\core\groupby.py”，第1511行，在groupby中
返回klass（obj，由，**科威特先令）
文件“C:\ProgramData\Anaconda3\lib\site packages\pandas\core\groupby.py”，第370行，在\uuu init中__
变异的
文件“C:\ProgramData\Anaconda3\lib\site packages\pandas\core\groupby.py”，第2484行，在\u get\u grouper中
如果不存在（gpr，分组），则为其他gpr
文件“C:\ProgramData\Anaconda3\lib\site packages\pandas\core\groupby.py”，第2262行，在\uuu init中__
grouper=self.grouper.\u获取\u binner\u进行分组（self.obj）
文件“C:\ProgramData\Anaconda3\lib\site packages\pandas\tseries\resample.py”，第1102行，位于用于分组的\u get\u binner\u中
石斑鱼=石斑鱼.take（索引器）
文件“C:\ProgramData\Anaconda3\lib\site packages\pandas\tseries\base.py”，第379行，在take中
na_值=tslib.iNaT）
文件“C:\ProgramData\Anaconda3\lib\site packages\pandas\indexes\base.py”，第1539行，在\u assert\u take\u filleble中
take=值。take（索引）
索引器：索引142超出大小142的范围
df_成员头（15）
会员服务选择权方法金额ccy
日期
2017-07-01 20:18:00姓名编码无限制黄金认购支付信用卡209.05加元
2017-07-01 19:07:00姓名编码无限制黄金认购支付信用卡209.05加元
2017-07-01 18:50:00姓名编码青铜（8个月）订阅支付信用卡152.55加元
2017-07-01 18:33:00姓名编码无限制黄金认购支付信用卡209.05加元
2017-07-01 18:15:00姓名编码无限制黄金认购支付信用卡209.05加元
2017-07-01 18:14:00姓名编码青铜（8个月）订阅支付信用卡152.55加元
2017-07-01 16:50:00姓名编码无限制黄金认购支付信用卡209.05加元
2017-07-01 16:23:00姓名编码公开健身房订阅付款失败信用卡73.45加元
2017-07-01 16:09:00姓名编码无限制黄金认购支付信用卡209.05加元
2017-07-01 15:22:00姓名编码银（12/月）165美元+HST订阅按比例信用卡179.00加元
2017-07-01 15:20:00姓名编码银订阅支付信用卡186.45加元
2017-07-01 14:36:00姓名编码无限制黄金认购支付信用卡209.05加元
2017-07-01 14:14:00姓名编码无限制黄金认购支付信用卡209.05加元
2017-07-01 14:06:00姓名编码银订阅支付信用卡186.45加元
2017-07-01 13:57:00姓名编码无限制黄金认购支付信用卡209.05加元
df_mem.head（）df_montly_service = df_mem.groupby([pd.Grouper(freq='M'),'service']).agg(['sum','count'])
Traceback (most recent call last):
File "C:/Users/Karunyan/PycharmProjects/646W/import_data.py", line 24, in <module>
df_montly_service = df_mem.groupby([pd.Grouper(freq='M'),'service']).agg(['sum','count'])
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\generic.py", line 3991, in groupby
**kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\groupby.py", line 1511, in groupby
return klass(obj, by, **kwds)
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\groupby.py", line 370, in __init__
mutated=self.mutated)
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\groupby.py", line 2484, in _get_grouper
if not isinstance(gpr, Grouping) else gpr
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\groupby.py", line 2262, in __init__
grouper = self.grouper._get_binner_for_grouping(self.obj)
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\tseries\resample.py", line 1102, in _get_binner_for_grouping
grouper = grouper.take(indexer)
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\tseries\base.py", line 379, in take
na_value=tslib.iNaT)
File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\indexes\base.py", line 1539, in _assert_take_fillable
taken = values.take(indices)
IndexError: index 142 is out of bounds for size 142
df_mem.head(15)
member service option method amount ccy
date
2017-07-01 20:18:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 19:07:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 18:50:00 Names_coded_out Bronze (8/mth) subscription payment credit card 152.55 cad
2017-07-01 18:33:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 18:15:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 18:14:00 Names_coded_out Bronze (8/mth) subscription payment credit card 152.55 cad
2017-07-01 16:50:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 16:23:00 Names_coded_out Open Gym subscription payment failed credit card 73.45 cad
2017-07-01 16:09:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 15:22:00 Names_coded_out Silver (12/mth) $165+HST subscription prorate credit card 179.00 cad
2017-07-01 15:20:00 Names_coded_out Silver subscription payment credit card 186.45 cad
2017-07-01 14:36:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 14:14:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad
2017-07-01 14:06:00 Names_coded_out Silver subscription payment credit card 186.45 cad
2017-07-01 13:57:00 Names_coded_out Unlimited Gold subscription payment credit card 209.05 cad