[英]No Results in DataFrame Resample (pandas)
我有一个数据帧(df),如下所示:
Time Temp
2017-01-01 00:30:00 11.1
2017-01-01 01:00:00 10.8
2017-01-01 01:30:00 10.8
2017-01-01 02:00:00 10.8
2017-01-01 02:30:00 11.1
..... ....
我试图获取Temp数据的每小时平均值,我曾经用以下代码(时间是索引)来做到这一点:
df2 = df.resample('H').agg(['mean','std'])
但是现在我收到以下错误:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-8-b43bf44dcae3> in <module>()
----> 1 df9 = dfroof4.resample('H').agg(['mean','std'])
D:\Anaconda3\lib\site-packages\pandas\core\resample.py in aggregate(self, arg, *args, **kwargs)
314
315 self._set_binner()
--> 316 result, how = self._aggregate(arg, *args, **kwargs)
317 if result is None:
318 result = self._groupby_and_aggregate(arg,
D:\Anaconda3\lib\site-packages\pandas\core\base.py in _aggregate(self, arg, *args, **kwargs)
632 return self._aggregate_multiple_funcs(arg,
633 _level=_level,
--> 634 _axis=_axis), None
635 else:
636 result = None
D:\Anaconda3\lib\site-packages\pandas\core\base.py in _aggregate_multiple_funcs(self, arg, _level, _axis)
689 # if we are empty
690 if not len(results):
--> 691 raise ValueError("no results")
692
693 try:
ValueError: no results
有任何想法吗?
编辑 :
输出
print(df.dtypes)
是:
Temp object
dtype: object
谢谢!
你需要转换为float
首先astype
:
df['Temp'] = df['Temp'].astype(float)
df2 = df.resample('H')['Temp'].agg(['mean','std'])
如果某些不良数据(例如string
s)使用to_numeric
替换为NaN
:
df['Temp'] = pd.to_numeric(df['Temp'], errors='coerce')
df2 = df.resample('H')['Temp'].agg(['mean','std'])
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