vlookup

问题 I have the following 2 dataframes Example1 sku loc flag 122 61 True 123 61 True 113 62 True 122 62 True 123 62 False 122 63 False 301 63 True Example2 sku dept 113 a 122 b 123 b 301 c I want to perform a merge, or join opertation using Pandas (or whichever Python operator is best) to produce the below data frame. Example3 sku loc flag dept 122 61 True b 123 61 True b 113 62 True a 122 62 True b 123 62 False b 122 63 False b 301 63 True c Both df_Example1.join(df_Example2,lsuffix=\'_ProdHier\'

问题 I found this VBA that is capable to return all matching values into one cell using one criteria to match: Function MYVLOOKUP(pValue As String, pWorkRng As Range, pIndex As Long) \'Update 20150310 Dim rng As Range Dim xResult As String xResult = \"\" For Each rng In pWorkRng If rng = pValue Then xResult = xResult & \" \" & rng.Offset(0, pIndex - 1) End If Next MYVLOOKUP = xResult End Function But I need this VLOOKUP to return values compared to multiple matching criteria. Any ideas how this

问题 I am trying to do a vlookup under a circumstance of first then last name to get an age. This will be done within Column A, then Column B. If found in Column A, Continue to Column B, If found in Column B, put age in J3 that comes from Column C else put \"None\". Here is an example: J1 = John J2 = Doe J3 = =VLOOKUP J1 & J2,A1:C50,3,FALSE) J3 is what I have so far. Do I need to nest a Vlookup to check Column A, then Column B in order to get the age? Here is an example of the table list: A B C