运行wepon/sesson one/extract_feature.py错误 about o2o-coupon-usage-forecast HOT 8 CLOSED

你把line99换成这个试试

t3['this_month_user_receive_same_coupon_lastone'] = t3.max_date_received.astype('int') - t3.date_received.astype('int')

from o2o-coupon-usage-forecast.

@wepe
改了后得到了以下的错误
Traceback (most recent call last):
File "extract_feature.py", line 99, in
t3['this_month_user_receive_same_coupon_lastone'] = t3.max_date_received.astype('int') - t3.date_received.astype('int')
File "/usr/lib64/python2.7/site-packages/pandas/core/generic.py", line 3054, in astype
raise_on_error=raise_on_error, **kwargs)
File "/usr/lib64/python2.7/site-packages/pandas/core/internals.py", line 3189, in astype
return self.apply('astype', dtype=dtype, **kwargs)
File "/usr/lib64/python2.7/site-packages/pandas/core/internals.py", line 3056, in apply
applied = getattr(b, f)(**kwargs)
File "/usr/lib64/python2.7/site-packages/pandas/core/internals.py", line 461, in astype
values=values, **kwargs)
File "/usr/lib64/python2.7/site-packages/pandas/core/internals.py", line 504, in _astype
values = _astype_nansafe(values.ravel(), dtype, copy=True)
File "/usr/lib64/python2.7/site-packages/pandas/types/cast.py", line 531, in _astype_nansafe
raise ValueError('Cannot convert NA to integer')
ValueError: Cannot convert NA to integer

from o2o-coupon-usage-forecast.

ValueError: Cannot convert NA to integer

你应该是date_received这一列数据有问题，我的可以跑通，你确定一下自己下载的数据没问题？ date_received字段的数据是 20160701 这种格式的。

from o2o-coupon-usage-forecast.

确定数据没有问题，

这个是执行line 99之前的t3的内容，我想会不会是我的pandas版本的问题，请问你的pandas的版本是多少？

from o2o-coupon-usage-forecast.

我的pandas 版本：0.18.1

from o2o-coupon-usage-forecast.

确实是我的原始数据有些问题，谢谢

from o2o-coupon-usage-forecast.

@BoyuanJiang 你用的数据不是作者提供的数据吗，我也出现你这个错误了 请问怎么解决的

from o2o-coupon-usage-forecast.

@BoyuanJiang 请问数据有什么问题，我也在这个点上出现了问题，不确定数据在哪里有问题

from o2o-coupon-usage-forecast.