@TomSharpe 向您展示了一种用公式解决此问题的方法。如果您的时间段超过三个,则必须对其进行修改。
不确定您是否会认为 Power Query 解决方案“太花哨”,但它确实允许无限数量的时间段,如示例中所示。
有了 PQ,我们
- 为每对开始/结束构建所有连续日期的列表
- 合并每行的列表,删除重复项
- 对每行的结果日期列表应用间隙和岛技术
- 计算每个“岛”的条目数并返回最大值
请注意:我计算了开始日期和结束日期。在你的日子专栏中,你没有(除了一个例子)。如果您想同时计算两者,请保留代码不变;如果您不这样做,我们可以做一些小的修改
使用 Power Query
- 创建一个表,其中excludes第一行合并单元格
- 按照屏幕截图中显示的格式重命名表列,因为表中的每个列标题必须具有不同的名称。
- 选择该数据表中的某个单元格
Data => Get&Transform => from Table/Range
- 当 PQ 编辑器打开时:
Home => Advanced Editor
- 记下表格Name2号线
- 将下面的 M 代码粘贴到您所看到的位置
- 将第 2 行中的表名称更改回最初生成的名称。
- 阅读评论并探索
Applied Steps
为了更好地理解算法
M Code
编辑代码以对日期列表进行排序以处理某些情况
let
Source = Excel.CurrentWorkbook(){[Name="Table2"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Start P1", type datetime}, {"Comment1", type text}, {"End P1", type datetime}, {"Days 1", Int64.Type}, {"Start P2", type datetime}, {"Comment2", type text}, {"End P2", type datetime}, {"Days 2", Int64.Type}, {"Start P3", type datetime}, {"Comment3", type text}, {"End P3", type datetime}, {"Days 3", Int64.Type}}),
//set data types for columns 1/5/9... and 3/7/11/... as date
dtTypes = List.Transform(List.Alternate(Table.ColumnNames(#"Changed Type"),1,1,1), each {_,Date.Type}),
typed = Table.TransformColumnTypes(#"Changed Type",dtTypes),
//add Index column to define row numbers
rowNums = Table.AddIndexColumn(typed,"rowNum",0,1),
//Unpivot except for rowNum column
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(rowNums, {"rowNum"}, "Attribute", "Value"),
//split the attribute column to filter on Start/End => just the dates
//then filter and remove the attributes columns
#"Split Column by Delimiter" = Table.SplitColumn(#"Unpivoted Other Columns", "Attribute", Splitter.SplitTextByEachDelimiter({" "}, QuoteStyle.Csv, false), {"Attribute.1", "Attribute.2"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Attribute.1", type text}, {"Attribute.2", type text}}),
#"Removed Columns" = Table.RemoveColumns(#"Changed Type1",{"Attribute.2"}),
#"Filtered Rows" = Table.SelectRows(#"Removed Columns", each ([Attribute.1] = "End" or [Attribute.1] = "Start")),
#"Removed Columns1" = Table.RemoveColumns(#"Filtered Rows",{"Attribute.1"}),
#"Changed Type2" = Table.TransformColumnTypes(#"Removed Columns1",{{"Value", type date}, {"rowNum", Int64.Type}}),
//group by row number
//generate date list from each pair of dates
//combine into a single list of dates with no overlapped date ranges for each row
#"Grouped Rows" = Table.Group(#"Changed Type2", {"rowNum"}, {
{"dateList", (t)=> List.Sort(
List.Distinct(
List.Combine(
List.Generate(
()=>[dtList=List.Dates(
t[Value]{0},
Duration.TotalDays(t[Value]{1}-t[Value]{0})+1 ,
#duration(1,0,0,0)),idx=0],
each [idx] < Table.RowCount(t),
each [dtList=List.Dates(
t[Value]{[idx]+2},
Duration.TotalDays(t[Value]{[idx]+3}-t[Value]{[idx]+2})+1,
#duration(1,0,0,0)),
idx=[idx]+2],
each [dtList]))))}
}),
//determine Islands and Gaps
#"Expanded dateList" = Table.ExpandListColumn(#"Grouped Rows", "dateList"),
//Duplicate the date column and turn it into integers
#"Duplicated Column" = Table.DuplicateColumn(#"Expanded dateList", "dateList", "dateList - Copy"),
#"Changed Type3" = Table.TransformColumnTypes(#"Duplicated Column",{{"dateList - Copy", Int64.Type}}),
//add an Index column
//Then subtract the index from the integer date
// if the dates are consecutive the resultant ID column will => the same value, else it will jump
#"Added Index" = Table.AddIndexColumn(#"Changed Type3", "Index", 0, 1, Int64.Type),
#"Added Custom" = Table.AddColumn(#"Added Index", "ID", each [#"dateList - Copy"]-[Index]),
#"Removed Columns2" = Table.RemoveColumns(#"Added Custom",{"dateList - Copy", "Index"}),
//Group by the date ID column and a Count will => the consecutive days
#"Grouped Rows1" = Table.Group(#"Removed Columns2", {"rowNum", "ID"}, {{"Count", each Table.RowCount(_), Int64.Type}}),
#"Removed Columns3" = Table.RemoveColumns(#"Grouped Rows1",{"ID"}),
//Group by the Row number and return the Maximum Consecutive days
#"Grouped Rows2" = Table.Group(#"Removed Columns3", {"rowNum"}, {{"Max Consecutive Days", each List.Max([Count]), type number}}),
//combine the Consecutive Days column with original table
result = Table.Join(rowNums,"rowNum",#"Grouped Rows2","rowNum"),
#"Removed Columns4" = Table.RemoveColumns(result,{"rowNum"})
in
#"Removed Columns4"