def load_base_item_feat(end_date = '2016/4/16'):
'''
??????
'''
JComment = pd.read_csv(COMMENT_FILE, encoding='gbk')
end_date = pd.to_datetime(end_date)
JComment.dt = pd.to_datetime(JComment.dt)
dts = JComment.dt.drop_duplicates()
dts.sort_index(inplace=True, ascending=False)
for dt in dts.iteritems():
if dt[-1] < end_date:
break
JComment = JComment[JComment.dt == dt[-1]].drop(['dt'], axis=1)
Comment_num_dummies = pd.get_dummies(JComment.comment_num, prefix='Comment_num')
JComment = pd.concat([JComment, Comment_num_dummies], axis=1)
return JComment.drop(['comment_num'], axis=1)
features_generator.py 文件源码
python
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