pandas ValueError：缓冲区数据类型不匹配，预期为“float64_t”但得到“float”
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ValueError: Buffer dtype mismatch, expected 'float64_t' but got 'float'
提问by wuwucat
There is a DataFrame 'modtso':
有一个 DataFrame 'modtso'：
In [4]: modtso
Out[4]:
<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 74006 entries, 2002-07-27 15:00:00 to 2010-12-31 22:58:08
Data columns:
0 74006 non-null values
dtypes: float32(1)
In [5]: modtso[1:10]
Out[5]:
0
2002-07-27 16:01:53 9.336845
2002-07-27 16:58:08 9.337487
2002-07-27 18:00:00 9.343308
2002-07-27 19:01:53 9.364368
2002-07-27 19:58:08 9.389445
...
Now I want to resample it as below:
现在我想重新采样如下：
a=modtso.resample('D',how='std')
it will raise a exception:
它将引发异常：
ValueError: Buffer dtype mismatch, expected 'float64_t' but got 'float'
what's the problem? how can I fix it? thanks
有什么问题？我该如何解决？谢谢
回答by Jeff
this is fully supported on 0.11-dev in 0.10 I think it will work, but your float32 will become float64 for almost any operation
这在 0.10 中的 0.11-dev 上完全支持我认为它会起作用，但是对于几乎任何操作，您的 float32 都将变为 float64
and FYI to convert types explicitly
和 FYI 显式转换类型
df.astype('float64')
see the examples here http://pandas.pydata.org/pandas-docs/dev/whatsnew.html#v0-11-0-march-2013
请参阅此处的示例 http://pandas.pydata.org/pandas-docs/dev/whatsnew.html#v0-11-0-march-2013
回答by wuwucat
do this can solve this problem:
这样做可以解决这个问题：
from numpy import float64
remod=float64(modtso[0]).resample('D',how=['std'])
