将xml解析为pandas数据框会引发内存错误

答案基于Jeff和JoeKington的帮助。在将数据推入数据框之前，需要将它们分别放入列表中。内存错误是由无法放入数据帧的多个“元素”引起的。取而代之的是，每个元素字典都需要放入一个可以放入数据帧的列表中。

这有效：

dTime=[]dvalue=[]for df in root.xpath('//channel/Time'):    ## Iterate over attributes of channel    for attrib in df.attrib:    dTime.append(df.attrib[attrib])    ## value is a child of time, and iterate    subfields = df.getchildren()    for subfield in subfields:    dvalue.append(subfield.text)pef=Dataframe({'Time':dTime,'values':dvalue})pef&ltclass 'pandas.core.frame.Dataframe'&gtInt64Index: 12960 entries, 0 to 12959Data columns (total 2 columns):Time     12960  non-null valuesvalue    12960  non-null valuesdtypes: object(2)pef[:5]    Time         value0    2013-05-01 00:00:00    2581    2013-05-01 00:01:00    2592    2013-05-01 00:02:00    2583    2013-05-01 00:03:00    2574    2013-05-01 00:04:00    257