我正在尝试使用TextFoin的UDF版本,因为我使用的是Excel 2013 - 但此功能无法正确返回准确的数据。
我在Excel中的数据集如下所示
saleID Item
5 PRE2323
6 Pre2323223
6 OX12321
6 RI132
9 TN23
9 LSR12
我想要的输出是
saleID Items
5 Pre2323
6 Pre2323223, OX12321, RI132
9 TN23, LSR12
这就是我所拥有的UDF无法正常运行
Option Explicit
Function TEXTJOIN(delimiter As String, ignore_empty As String, ParamArray textn() As Variant) As String
Dim i As Long
For i = LBound(textn) To UBound(textn) - 1
If Len(textn(i)) = 0 Then
If Not ignore_empty = True Then
TEXTJOIN = TEXTJOIN & textn(i) & delimiter
End If
Else
TEXTJOIN = TEXTJOIN & textn(i) & delimiter
End If
Next
TEXTJOIN = TEXTJOIN & textn(UBound(textn))
End Function
我在这个单元格中调用它
=TEXTJOIN(", ",1,INDEX(REPT(B$2:B$100,A$2:A$100=ROWS(C$2:C2)),0))
我收到错误#VALUE!
答案 0 :(得分:2)
您可以尝试这样的事情......
Function TEXTJOIN(delimiter As String, lookup_id As Range, arr_rng As Range, Optional ignore_empty As Boolean = True) As String
Dim x, dict
Dim i As Long
x = arr_rng.Value
Set dict = CreateObject("Scripting.Dictionary")
For i = 1 To UBound(x, 1)
If x(i, 1) = lookup_id Then
If Not dict.exists(x(i, 1)) Then
dict.Item(x(i, 1)) = x(i, 2)
Else
dict.Item(x(i, 1)) = dict.Item(x(i, 1)) & IIf(x(i, 2) = "", IIf(ignore_empty, "", delimiter), delimiter & x(i, 2))
End If
End If
Next i
If dict.Count > 0 Then
TEXTJOIN = dict.Item(IIf(IsNumeric(lookup_id), lookup_id + 0, lookup_id))
Else
TEXTJOIN = ""
End If
End Function
然后考虑您的数据在A2:B7范围内,请尝试以下内容......
在C2
=TEXTJOIN(",",A2,$A$2:$B$7)
答案 1 :(得分:2)
此函数接受范围和数组,包括水平和垂直
```{r fig.width=8, fig.height=4, fig_align="center", echo=FALSE, warning=FALSE, message=FALSE}
library(pacman)
p_load(dplyr, tidyr, readr, tigris, acs, magrittr, foreign, ggplot2, gridExtra, ggthemes, leaflet, maps )
#map
la_trad_school_perf_map_layers <- leaflet(lac_schools) %>%
addProviderTiles("CartoDB.Positron") %>%
setView(-118.4, 34.05, zoom = 9) %>%
addCircleMarkers(
radius = 3,
color = ~pal_measure(Math_Prof_Category_1516),
stroke= FALSE,
fillOpacity = 1,
popup=school_popup,
group="15-16 Math Proficiency Rates"
) %>%
addPolygons(data = income_200k_plus_merged,
fillColor = ~pal_income(plus_200k_pct),
color = "Greens",
fillOpacity = 0.5,
weight = 1,
smoothFactor = 0.2,
popup = popup_200k,
group="% of Households with Income > $200k - 2015")%>%
addPolygons(data = poverty_merged,
fillColor = ~pal_poverty(poverty_rate),
color = "#b2aeae",
fillOpacity = 0.5,
weight = 1,
smoothFactor = 0.2,
#popup = popup_poverty,
group="% of Residents in Poverty - 2015")%>%
addPolygons(data = unemployment_merged,
fillColor = ~pal_unemp(unemp_rate_2064),
color = "#b2aeae",
fillOpacity = 0.5,
weight = 1,
smoothFactor = 0.2,
#popup = popup_poverty,
group="% of Unemployed Adults - 2015")%>%
addPolygons(data = commute_merged,
fillColor = ~pal_commute(commute_perc_60_more),
color = "#b2aeae",
fillOpacity = 0.5,
weight = 1,
smoothFactor = 0.2,
#popup = popup_poverty,
group="% of Adults with a Commute > 60 min.")%>%
addPolygons(data = ed_attain_merged,
fillColor = ~pal_ed_attain(lt_hs_degree_rate_18_44),
color = "#b2aeae",
fillOpacity = 0.5,
weight = 1,
smoothFactor = 0.2,
#popup = popup_ed_attain,
group="% of Adults Without a HS Degree - 2015")%>%
addPolygons(data = cit_merged,
fillColor = ~pal_cit(non_citizenship_rate),
color = "#b2aeae",
fillOpacity = 0.5,
weight = 1,
smoothFactor = 0.2,
popup = popup_cit,
group="Non-U.S. Citizen - 2015")%>%
addPolygons(data = grandchildren_merged,
fillColor = ~pal_grandchildren(living_with_grand_rate),
color = "#b2aeae",
fillOpacity = 0.5,
weight = 1,
smoothFactor = 0.2,
popup = popup_grandchildren,
group="% of Children Raised by Grandparents - 2015")%>%
#addMarkers(data=la_homicides_assaults,
# la_homicides_assaults$lat,
# la_homicides_assaults$lng,
# group="Incidents of Violent Crime - 2015") %>%
addLayersControl(
baseGroups=c("% of Households with Income > $200k - 2015",
"% of Residents in Poverty - 2015",
"% of Unemployed Adults - 2015",
"% of Adults with a Commute > 60 min.",
"% of Adults Without a HS Degree - 2015",
"% of Non U.S. Citizens - 2015",
"% of Children Raised by Grandparents - 2015"),
overlayGroups=c("15-16 Math Proficiency Rates"),
options = layersControlOptions(collapsed = TRUE))
la_trad_school_perf_map_layers
```
在这种情况下,您可以将其用作数组公式:
Function TEXTJOIN(delim As String, skipblank As Boolean, arr)
Dim d As Long
Dim c As Long
Dim arr2()
Dim t As Long, y As Long
t = -1
y = -1
If TypeName(arr) = "Range" Then
arr2 = arr.Value
Else
arr2 = arr
End If
On Error Resume Next
t = UBound(arr2, 2)
y = UBound(arr2, 1)
On Error GoTo 0
If t >= 0 And y >= 0 Then
For c = LBound(arr2, 1) To UBound(arr2, 1)
For d = LBound(arr2, 1) To UBound(arr2, 2)
If arr2(c, d) <> "" Or Not skipblank Then
TEXTJOIN = TEXTJOIN & arr2(c, d) & delim
End If
Next d
Next c
Else
For c = LBound(arr2) To UBound(arr2)
If arr2(c) <> "" Or Not skipblank Then
TEXTJOIN = TEXTJOIN & arr2(c) & delim
End If
Next c
End If
TEXTJOIN = Left(TEXTJOIN, Len(TEXTJOIN) - Len(delim))
End Function
作为一个数组公式,当退出编辑模式时,需要使用Ctrl-Shift-Enter而不是Enter来确认。
答案 2 :(得分:1)
如果您的数据位于A列和B列,则此代码应该有效。
Sub TEXTJOIN()
Dim i As Long, str As String, k As Long
Columns("A:B").Sort key1:=Range("A2"), order1:=xlAscending, Header:=xlYes
str = Cells(2, 2)
k = 2
For i = 2 To Cells(Rows.Count, 1).End(xlUp).Row
If Cells(i, 1) = Cells(i + 1, 1) Then
str = str & "," & Cells(i + 1, 2)
Else
Cells(k, 4) = Cells(i, 1)
Cells(k, 5) = str
k = k + 1
str = Cells(i + 1, 2)
End If
Next i
End Sub
我将零件留给您将其转换为UDF。
答案 3 :(得分:0)
试试这个....!
Function TEXTJOIN(delimiter As String, ignore_empty As Boolean, ParamArray
cell_ar() As Variant)
2
For Each cellrng In cell_ar
3
For Each cell In cellrng
4
If ignore_empty = False Then
5
result = result & cell & delimiter
6
Else
7
If cell <> "" Then
8
result = result & cell & delimiter
9
End If
10
End If
11
Next cell
12
Next cellrng
13
TEXTJOIN = Left(result, Len(result) - Len(delimiter))
14
End Function