Powerquery识别属于跨越两个连续日期的班次的时间戳

时间：2018-05-20 04:38:19

标签： excel date time powerquery

我在excel表中有数据，由我们在网站上使用的某些软件生成，报告带有这样的时间戳

6/05/2018 6:23:00 AM

由于我们是一个24小时的操作，我需要PowerQuery才能识别出从上午12:00:00到上午7:00:00的时间戳属于前一天的夜班。

我面临的问题是，尽管PowerQuery可以将日期/时间作为数据类型处理，但它似乎是在截断导入数据的时间，因此上面示例的结果在我的查询中（显然在我的查询中）输出）是

6/05/2018 12:00:00 AM

我能在网上找到的大部分内容都是关于如何消磨时间 - 我想保留它！

这样做的目的是，我可以按照时间顺序显示记录，以便在数据透视表中进行夜班生产。目前我不得不单独添加另一列，这会导致从午夜到早上7点的数据从晚上7点到午夜之前的数据 - 事实上它发生在之后。

干杯，

垫

编辑：添加我的问题的图片，因为我输入我无法在线程中看到图像所以我希望它们在正确的位置！

我的源数据示例，时间戳位于＆＃34;时间＆＃34;在右边的其他日期columsn是我得到的东西，所以至少我有转移日期和实际时间。

Source data

以下是我的查询，这里有很多将源位置附加到预定义的属性集，基本上我正在努力的是＆＃34;时间＆＃34;字段被导入，但丢失小数点后的所有数据，所以我得到一个日期。我希望将该时间附加到该日期，并且还有另一个字段，如上所述的转换日期。

let
    // Removes unwanted characters.
    CharsToRemove = List.Transform({33..45,47,58..126}, each Character.FromNumber(_)),
    // The query is all based on the current month's portion of the current 13wk. 
    Source = Location_Data,
    // Set some data fields, not all are changed here as it affects later calculations.
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Group Name", type text}, {"Name", type text}, {"Waste tonnes", type number}, {"Total Ore Tonnes", Int64.Type}, {"Dil cu_pct", type number}, {"Dil au", type number}, {"Dil ag", type number}, {"Dil fe_pct", type number}, {"Dil zn_pct", type number}, {"Density", type number}, {"Material", type text}, {"Type", type text}, {"Active from", Int64.Type}, {"Active to", Int64.Type}, {"Comments", type text}}),
    // This steps add the MTD trucking data, and correlates it with our claim grades and density based on two fields, "Name" and "Material".
    #"Merged Queries" = Table.NestedJoin(Source,{"Name", "Material"},LoadTrak_Data,{"Load Origin", "Material"},"NewColumn",JoinKind.LeftOuter),
    // This step expands the trucking data so we can work with the each column individually, such as truck ID, Date/time, Load Volume, etc.
    #"Expanded NewColumn" = Table.ExpandTableColumn(#"Merged Queries", "NewColumn", {"Record", "Time", "Dir.", "Operator", "Truck ID", "Load (m3)", "Truck Operator", "Crew", "Shift", "Material", "Load Origin", "Dumped At", "Day", "Shift Time", "Calc Shift"}, {"Record", "Time", "Dir.", "Operator", "Truck ID", "Load (m3)", "Truck Operator", "Crew", "Shift", "Material.1", "Load Origin", "Dumped At", "Day", "Shift Time", "Calc Shift"}),
    #"Changed Type3" = Table.TransformColumnTypes(#"Expanded NewColumn",{{"Time", type number}}),
    #"Sorted Record low to high" = Table.Sort(#"Changed Type3",{{"Record", Order.Ascending}}),
    #"Added Error Volume Column" = Table.AddColumn(#"Sorted Record low to high", "Error Volume", each if [#"Load (m3)"] = null then "28.2" else null ),
    #"Changed Error Volume to decimal number" = Table.TransformColumnTypes(#"Added Error Volume Column",{{"Error Volume", type number}}),
    #"Added Custom1" = Table.AddColumn(#"Changed Error Volume to decimal number", "DMT", each if [#"Dir."] = null then null else if [#"Load (m3)"] = null then ([Error Volume]*[Density] * 0.7) else [#"Load (m3)"] * [Density] * 0.7),
    #"Added Custom2" = Table.AddColumn(#"Added Custom1", "Level Loaded", each if [Load Origin] = "Empty" then 0 else (Text.Start([Load Origin],4))),
    #"Creates shift date" = Table.AddColumn(#"Added Custom2", "Shift Date", each if [Shift Time] is null then null else if [Shift Time] < 0.2916 then [Time] -1 else [Time]),
    #"Added Custom" = Table.AddColumn(#"Creates shift date", "Correct location", each if [#"Dir."] = null then null else if ([Shift Date]) < ([Active from]) or ([Shift Date]) > (([Active to])+0.999999) then "No" else "Yes"),
    #"Changed Type1" = Table.TransformColumnTypes(#"Added Custom",{{"Level Loaded", type number}}),
    #"Level Dumped" = Table.AddColumn(#"Changed Type1", "Level Dumped", each if [Dumped At] = "ROM" then 5270 else if [Dumped At] = "PAF" then 5170 else if [Dumped At] = "Paste" then 5270 else if [Dumped At] = "Waste" then 5270 else Text.Start([Dumped At], 4)),
    #"Change Level Dumped to decimal number" = Table.TransformColumnTypes(#"Level Dumped",{{"Level Dumped", type number}}),
    #"Added TKMs column" = Table.AddColumn(#"Change Level Dumped to decimal number", "TKMs", each if [Dumped At] = "Waste" then (((([Level Dumped] - [Level Loaded])*7)+300)/1000 * [DMT]) else if [Dumped At] = "ROM" then (((([Level Dumped] - [Level Loaded])*7)+150)+300)/1000 * [DMT] else if [Dumped At] = "PAF" then (((([Level Dumped] - [Level Loaded])*7)+150)+300)/1000 * [DMT] else if [Dumped At] = "Paste" then (((([Level Dumped] - [Level Loaded])*7)+150)+300)/1000 * [DMT] else (([Level Dumped] - [Level Loaded])*7)/1000 * [DMT]),
    #"Changed TKMs to decimal number" = Table.TransformColumnTypes(#"Added TKMs column",{{"TKMs", type number}}),
    #"Filtered Correct Location to remove incorrect duplicates" = Table.SelectRows(#"Changed TKMs to decimal number", each [Correct location] <> "No"),
    #"Added load count helper column" = Table.AddColumn(#"Filtered Correct Location to remove incorrect duplicates", "Load", each if [Correct location] = "Yes" then 1 else ""),
    #"Filtered Rows1" = Table.SelectRows(#"Added load count helper column", each true),
    #"Filtered non-null Group Name rows" = Table.SelectRows(#"Filtered Rows1", each [Group Name] <> null and [Group Name] <> ""),
    #"Converts date fields to type date" = Table.TransformColumnTypes(#"Filtered non-null Group Name rows",{{"Active from", type date}, {"Active to", type date}, {"Time", type date}, {"Shift Date", type date}}),
    #"Merged with Sched_13wk" = Table.NestedJoin(#"Converts date fields to type date",{"Name", "Material"},Sched_13wk,{"Name", "Material"},"Sched_13wk",JoinKind.LeftOuter),
    #"Expanded Sched_13wk" = Table.ExpandTableColumn(#"Merged with Sched_13wk", "Sched_13wk", {"Dil cu_pct", "Material", "Scheduled Tonnes"}, {"Sched_13wk.Dil cu_pct", "Sched_13wk.Material", "Sched_13wk.Scheduled Tonnes"}),
    #"Changed Type2" = Table.TransformColumnTypes(#"Expanded Sched_13wk",{{"Shift Time", type time}, {"Day", type date}, {"Time", type date}})
in
    #"Changed Type2"

Urgghhh看起来很可怕，不知道如何更好地包含它。当我需要编辑时，Lol中的注释会提醒我正在做什么。仍然没有完成，想要添加更多的负载，以便如果我要改变位置，坐在我的椅子上的巢人将会知道查询中发生了什么！

这就是数据在查询输出中的方式，看看所有时间值都消失了。

Output with no time values.

好的，我真的希望有所帮助。正如你猜测的那样，我不是一个交易程序员！

报告复制到我的Excel工作簿中的数据，输入其他信息然后查询 Report generated by software which is copied and pasted into workbook containing query.

1 个答案:

答案 0 :(得分：0)

可以使用Power Query从原始文本文件中导入来解决此问题。您应该能够解决时间戳问题，并且更容易格式化结果。

复制/粘贴通常不是处理此类问题的最佳方法。

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