【问题标题】:Aggregate columns with same date (sum) in csv在csv中聚合具有相同日期(总和)的列
【发布时间】:2022-06-14 22:34:43
【问题描述】:

我的代码以 CSV 格式返回以下数据

Quantity    Date of purchase
1   17 May 2022 at 5:40:20PM BST
1   2 Apr 2022 at 7:41:29PM BST
1   2 Apr 2022 at 6:42:05PM BST
1   29 Mar 2022 at 12:34:56PM BST
1   29 Mar 2022 at 10:52:54AM BST
1   29 Mar 2022 at 12:04:52AM BST
1   28 Mar 2022 at 4:49:34PM BST
1   28 Mar 2022 at 11:13:37AM BST
1   27 Mar 2022 at 8:53:05PM BST
1   27 Mar 2022 at 5:10:21PM BST
1   27 Mar 2022 at 10:34:27AM BST
1   25 Mar 2022 at 11:32:25AM GMT
1   24 Mar 2022 at 6:23:19PM GMT
1   23 Mar 2022 at 3:22:03AM GMT
1   23 Mar 2022 at 1:09:49AM GMT
1   20 Mar 2022 at 9:49:59PM GMT
1   18 Mar 2022 at 3:31:57PM GMT
1   17 Mar 2022 at 11:15:07AM GMT
1   16 Mar 2022 at 12:26:44PM GMT
1   14 Mar 2022 at 8:58:38PM GMT
1   12 Mar 2022 at 5:03:00PM GMT
1   11 Mar 2022 at 10:33:45PM GMT
1   11 Mar 2022 at 1:18:40PM GMT
1   10 Mar 2022 at 6:28:27PM GMT
1   9 Mar 2022 at 4:15:40PM GMT
1   7 Mar 2022 at 8:06:47PM GMT
1   5 Mar 2022 at 6:14:42PM GMT
1   5 Mar 2022 at 4:44:52PM GMT
1   3 Mar 2022 at 10:20:12PM GMT
1   2 Mar 2022 at 11:22:59AM GMT
1   1 Mar 2022 at 9:08:02PM GMT
1   1 Mar 2022 at 7:58:57PM GMT
1   1 Mar 2022 at 7:25:06PM GMT
1   1 Mar 2022 at 12:52:10PM GMT
1   28 Feb 2022 at 8:56:47PM GMT
1   28 Feb 2022 at 6:03:05PM GMT
1   28 Feb 2022 at 2:46:50AM GMT
1   27 Feb 2022 at 8:34:49PM GMT
1   27 Feb 2022 at 2:51:01PM GMT
1   25 Feb 2022 at 11:49:10AM GMT
1   25 Feb 2022 at 8:31:02AM GMT
1   23 Feb 2022 at 12:04:34PM GMT
1   19 Feb 2022 at 1:18:39PM GMT
1   15 Feb 2022 at 3:59:08PM GMT
1   14 Feb 2022 at 10:50:39AM GMT
1   11 Feb 2022 at 3:06:48PM GMT
1   11 Feb 2022 at 12:38:34PM GMT
1   11 Feb 2022 at 12:01:54AM GMT
1   10 Feb 2022 at 9:00:01PM GMT
1   10 Feb 2022 at 4:54:29PM GMT
1   9 Feb 2022 at 11:44:17AM GMT
1   9 Feb 2022 at 6:39:03AM GMT
1   8 Feb 2022 at 9:05:49PM GMT
1   8 Feb 2022 at 9:01:18AM GMT
1   7 Feb 2022 at 1:33:02PM GMT
1   7 Feb 2022 at 9:02:51AM GMT
1   7 Feb 2022 at 6:31:32AM GMT
1   6 Feb 2022 at 7:57:24PM GMT
1   6 Feb 2022 at 11:33:41AM GMT
1   6 Feb 2022 at 9:45:50AM GMT

我试图只获取日期并添加具有相同日期的数量数据,但下面是代码

data = read_csv("products_sold_history_data.csv")
data['Date of purchase'] = pandas.to_datetime(data['Date of purchase'] , format='%d-%m-%Y').dt.date

但是它给了我错误任何人都可以请帮助我如何仅从购买日期列中获取日期,然后在同一日期添加数量值。

【问题讨论】:

  • 错误是什么?

标签: python pandas dataframe csv


猜你喜欢
  • 2018-10-26
  • 2019-05-07
  • 2015-05-27
  • 1970-01-01
  • 1970-01-01
  • 2018-08-16
  • 1970-01-01
  • 1970-01-01
  • 1970-01-01
相关资源
最近更新 更多