我有一个数据集看起来像下面:选择某些行的值,使它们列大熊猫
+-------------------------+-------------+------+--------+-------------+--------+--+
| | impressions | name | shares | video_views | diff | |
+-------------------------+-------------+------+--------+-------------+--------+--+
| _ts | | | | | | |
| 2016-09-12 23:15:04.120 | 1 | Vidz | 7 | 10318 | 15mins | |
| 2016-09-12 23:16:45.869 | 2 | Vidz | 7 | 10318 | 16mins | |
| 2016-09-12 23:30:03.129 | 3 | Vidz | 18 | 29291 | 30mins | |
| 2016-09-12 23:32:08.317 | 4 | Vidz | 18 | 29291 | 32mins | |
+-------------------------+-------------+------+--------+-------------+--------+--+
我试图建立一个数据帧喂到回归模型,我想将特定行解析为特征。要做到这一点,我希望数据框类似于这个
+-------------------------+------+--------------+-------------------+-------------------+--------------+-------------------+-------------------+
| | name | 15min_shares | 15min_impressions | 15min_video_views | 30min_shares | 30min_impressions | 30min_video_views |
+-------------------------+------+--------------+-------------------+-------------------+--------------+-------------------+-------------------+
| _ts | | | | | | | |
| 2016-09-12 23:15:04.120 | Vidz | 7 | 1 | 10318 | 18 | 3 | 29291 |
+-------------------------+------+--------------+-------------------+-------------------+--------------+-------------------+-------------------+
什么是最好的方式来做到这一点?我认为这会更容易,如果我只是试图选择1行(15分钟),只是解析出不需要的行和主键。
不过,我需要15分钟和30分钟的功能和我有关如何继续的需要对这些列
不确定
你现在大概['pandas.DataFrame.get_dummies()'](HTTP:/ /pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html),它不完全是你要求的,但可能是一种解决方法。 – quapka
你想要的输出没有意义。 2016-09-12 23:15:04.120您的_ts行没有任何30分钟的展示次数。 –