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[英]AttributeError: type object 'object' has no attribute 'dtype'
[英]AttributeError: 'list' object has no attribute 'dtype'
我在布林帶算法上遇到麻煩。 我想將此算法應用於我的時間序列數據。
編碼:
length = 1440
dataframe = pd.DataFrame(speed)
ave = pd.stats.moments.rolling_mean(speed,length)
sd = pd.stats.moments.rolling_std(speed,length=1440)
upband = ave + (sd*2)
dnband = ave - (sd*2)
print np.round(ave,3), np.round(upband,3), np.round(dnband,3)
輸入:
speed=[96.5, 97.0, 93.75, 96.0, 94.5, 95.0, 94.75, 96.0, 96.5, 97.0, 94.75, 97.5, 94.5, 96.0, 92.75, 96.5, 91.5, 97.75, 93.0, 96.5, 92.25, 95.5, 92.5, 95.5, 94.0, 96.5, 94.25, 97.75, 93.0]
“ ave”變量的結果:
[1440行x 1列] 0 0 NaN 1 NaN 2 NaN 3 NaN 4 NaN 5 NaN 6 NaN 7 NaN 8 NaN 9 NaN 10 NaN 11 NaN 12 NaN 13 NaN 14 NaN 15 NaN 16 NaN 17 NaN
第一點是,正如我在注釋中已經提到的rolling_mean需要一個DataFrame,您可以通過插入以下行來實現此目的
speed = pd.DataFrame(data=speed)
在ave = ...
行之前。 但是,您也錯過了在rolling_std中定義窗口屬性的方法(請參閱: http ://pandas.pydata.org/pandas-docs/stable/generated/pandas.rolling_std.html)
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