timestamp Power
0 1582848000007 8284.714925
1 1582848000016 8514.845083
2 1582848000026 8518.174961
3 1582848000036 8512.624938
4 1582848000046 8514.845083
5 1582848000056 8518.174961
6 1582848000066 8512.624938
7 1582848000076 8512.624938
8 1582848000086 8512.624938
9 1582848000096 8509.295060
10 1582848000107 8512.624938
11 1582848000116 8512.624938
12 1582848000136 8518.174961
13 1582848000146 8514.845083
14 1582848000156 8514.845083
15 1582848000166 8512.624938
16 1582848000176 8518.174961
17 1582848000186 8514.845083
18 1582848000207 8512.624938
19 1582848000216 8514.845083
20 1582848000226 8514.845083
21 1582848000236 8514.845083
22 1582848000246 8512.624938
23 1582848000256 8514.845083
24 1582848000266 8514.845083
25 1582848000276 8514.845083
26 1582848000286 8518.174961
27 1582848000296 8512.624938
28 1582848000307 8514.845083
29 1582848000316 8131.295064
它存储在变量中
.
我使用的代码是scipy的梯形法则,
from scipy import integrate
df.apply(lambda g: integrate.trapz(g.Power, x=g.timestamp))
我得到的错误是,
Traceback (most recent call last):
File "presto_run.py", line 17, in <module>
I2=df1.apply(lambda g: integrate.trapz(g.Power, x=g.timestamp))
File "/usr/local/lib/python2.7/dist-packages/pandas/core/frame.py", line 6487, in apply
return op.get_result()
File "/usr/local/lib/python2.7/dist-packages/pandas/core/apply.py", line 151, in get_result
return self.apply_standard()
File "/usr/local/lib/python2.7/dist-packages/pandas/core/apply.py", line 257, in apply_standard
self.apply_series_generator()
File "/usr/local/lib/python2.7/dist-packages/pandas/core/apply.py", line 286, in apply_series_generator
results[i] = self.f(v)
File "presto_run.py", line 17, in <lambda>
I2=df1.apply(lambda g: integrate.trapz(g.Power, x=g.timestamp))
File "/usr/local/lib/python2.7/dist-packages/pandas/core/generic.py", line 5067, in __getattr__
return object.__getattribute__(self, name)
AttributeError: ("'Series' object has no attribute 'Power'", u'occurred at index timestamp')
我做错什么了?蒂亚!
