python pandas dataframe index, error TypeError: Input must be iterable, pandas version perhaps wrong

Question

我正在使用麻省理工学院的 eda-explorer python 库，它允许从特定的可穿戴生物传感器导入生理数据文件。该库使用 pandas DataFrames 来存储生理时间序列。我一直在不同的计算设置中使用这个库。当我尝试在我的 ubuntu 15.10 环境中使用它时，我收到一条我不理解的错误消息。它与以下函数相关，该函数有助于将数据放入 DataFrame 并进行一些初始转换：

def loadData_E4(filepath):

    # Load data
    data = pd.DataFrame.from_csv(os.path.join(filepath,'EDA.csv'))
    data.reset_index(inplace=True)

   # Get the startTime and sample rate
    startTime = pd.to_datetime(float(data.columns.values[0]),unit="s")
    sampleRate = float(data.iloc[0][0])
    data = data[data.index!=0]
    data.index = data.index-1

这会导致以下错误消息：

In [1]:

run batch_edaexplorer_template.py

Classifying data for ...[my file location]...


---------------------------------------------------------------------
   TypeError                                 Traceback (most recent call last)
   /...mypath/eda-explorer-master/batch_edaexplorer_template.py in <module>()
         69         elif dataType=='e4':
         70             print "Classifying data for " + filepath
---> 71             labels,data =       classify(filepath,classifierList,pickleDirectory,lf.loadData_E4)
     72         elif dataType=="misc":
     73             print "Classifying data for " + filepath

/...mypath/eda-explorer-master/EDA_Artifact_Detection_Script.pyc in classify(filepath, classifierList, pickleDirectory, loadDataFunction)
    225 
    226     # Load data
--> 227     data = loadDataFunction(filepath)
    228 
    229     # Get pickle List and featureNames list

/...mypath/eda-explorer-master/load_files.pyc in loadData_E4(filepath)
     58     sampleRate = float(data.iloc[0][0])
     59     data = data[data.index!=0]
---> 60     data.index = data.index-1
     61 
     62     # Reset the data frame assuming 4Hz samplingRate

/usr/lib/python2.7/dist-packages/pandas/core/index.pyc in __sub__(self, other)
   1161             warnings.warn("using '-' to provide set differences with Indexes is deprecated, "
   1162                           "use .difference()",FutureWarning)
-> 1163         return self.difference(other)
   1164 
   1165     def __and__(self, other):

/usr/lib/python2.7/dist-packages/pandas/core/index.pyc in difference(self, other)
   1314 
   1315         if not hasattr(other, '__iter__'):
-> 1316             raise TypeError('Input must be iterable!')
   1317 
   1318         if self.equals(other):

TypeError: Input must be iterable!

我的 windows PC 上没有收到此错误消息。我在 ubuntu 环境中使用 pandas 版本 0.15.0。这可能是与索引相关的特定语法只允许在 pandas 的更高版本中使用的问题吗？我应该如何更正语法以使其适用于旧版本的 pandas？还是我没抓住要点？

Answer 1

尝试 data.index = pd.Index(data.index.values-1) 而不是 data.index = data.index-1。

python pandas dataframe index, error TypeError: Input must be iterable, pandas version perhaps wrong

python pandas dataframe index, error TypeError: Input must be iterable, pandas version perhaps wrong

indexing

python-2.7

pandas

ubuntu-15.10