我正在尝试打开此数据集：https://www.kaggle.com/dalpozz/creditcardfraud
使用Ipython笔记本。我试过了：
data = pd.read_csv("...Desktop/creditcard.csv")
得到了：
CParserError：标记数据时出错。 C错误：内存不足。
然后我尝试了Noobie指出的解决方案： Error tokenizing data. C error: out of memory pandas python, large file csv
现在它可以加载数据。但是，现在我的数据看起来像一个矩阵：
entry 0,0: blank;
entry 0,1: All the headers are here;
entry 1,0: 0
entry 1,1: A whole line of unseparated data here
entry 2,0: 1
entry 2,1: A whole line of unseparated data here
...
如何正确格式化数据？
我的实施：
mylist = []
for chunk in pd.read_csv('.../Desktop/creditcard.csv', sep=',', chunksize=2000):
mylist.append(chunk)
data = pd.concat(mylist, axis= 0)
del mylist
几行数据：
第1行：时间，＆＃34; V1＆＃34;，＆＃34; V2＆＃34;，＆＃34; V3＆＃34;，＆＃34; V4＆＃34;，＆＃34; V5＆＃34;， ＆＃34; V6＆＃34;＆＃34; V7＆＃34;＆＃34; V8＆＃34;＆＃34; V9＆＃34;＆＃34; V10＆＃34;＆＃34; V11＆ ＃34;＆＃34; V12＆＃34;＆＃34; V13＆＃34;＆＃34; V14＆＃34;＆＃34; V15＆＃34;＆＃34; V16＆＃34;，＆ ＃34; V17＆＃34;＆＃34; V18＆＃34;＆＃34; V19＆＃34;＆＃34; V20＆＃34;＆＃34; V21＆＃34;＆＃34; V22＆＃ 34;，＆＃34; V23＆＃34;＆＃34; V24＆＃34;＆＃34; V25＆＃34;＆＃34; V26＆＃34;＆＃34; V27＆＃34;＆＃ 34; V28＆＃34;＆＃34;量＆＃34;＆＃34;级＆＃34;
第二行：
0，-1.3598071336738，-0.0727811733098497,2.53634673796914,1.37815522427443，-0.338320769942518,0.462387777762292,0.239598554061257,0.0986979012610507,0.363786969611213,0.0907941719789316，-0.551599533260813，-0.617800855762348，-0.991389847235408，-0.311169353699879,1.46817697209427，-0.470400525259478,0.207971241929242,0.0257905801985591,0.403992960255733,0.251412098239705， -0.018306777944153,0.277837575558899，-0.110473910188767,0.0669280749146731,0.128539358273528，-0.189114843888824,0.133558376740387，-0.0210530534538215,149.62，＆＃34; 0＆＃34;