“method”对象不是iterable dataframe python

2024-10-08 18:28:09 发布

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我已经提取了这个数据帧,并在其中添加了datetime

问题是我有一个函数是可写的

当我检查数据帧时,它是可编辑的

  if hasattr(df_raw, '__iter__'):
  print(f'{df_raw} is iterable')

这就是结果[1508行x 1列]是可编辑的

我不知道怎么了, 功能似乎还可以

有人能帮我吗

这是功能代码和下面的代码

def fracDiff_FFD(series,d,thres=1e-5):
    #1)Compute weights for the longest series
    w=getWeights_FFD(d,thres)
    width= len(w)-1
    #2)Apply weights to values
    df={}
    for i in series:
        seriesF=series[[i]].fillna(method='ffill').dropna()
        df_=pd.Series()
        for iloc1 in range(width, seriesF.shape[0]):
            loc0,loc1=seriesF.index[iloc1-width],seriesF.index[iloc1]
            if not np.isfinite(series.loc[loc1,name]):continue #exlcude NAs
            df_[loc1]=np.dot(w.T,seriesF.loc[loc0:loc1])[0,0]
        df[name]=df_.copy(deep=True)
    df=pd.concat(df,axis=1)
    return df
# plotMinFFD()

##Dickey Fuller test

# print(df00.values.any())

df_raw = df00[['Close']]

下面是控制台结果和错误提示

               Close
Datetime            
2015-01-05  2.167526
2015-01-06  2.036082
2015-01-07  2.148196
2015-01-08  2.411082
2015-01-09  2.333763
             ...
NaT         9.740979
NaT         9.719716
NaT         9.779639
NaT         9.781572
NaT         9.746778

[1508 rows x 1 columns] is iterable
Traceback (most recent call last):

  File "C:\Studies\Capstone 2\ReadCsv.py", line 781, in <module>
    df01=fracDiff_FFD(df_raw.all, d=0.1,thres=0.01)

  File "C:\Studies\Capstone 2\ReadCsv.py", line 732, in fracDiff_FFD
    for i in series:

TypeError: 'method' object is not iterable

df_raw.isnull().values.any()
if hasattr(df_raw, '__iter__'):
  print(f'{df_raw} is iterable')
df01=fracDiff_FFD(df_raw.all, d=0.1,thres=0.01)

我不知道是什么问题


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