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Member Avatar for Saran_1

I have scoured Stack over flow and the Pandas documentation for a solution to this issue. I am attempting to recursively move through a directory and concatenate all of the headers and their respective row values. Below is what I have so far after much experimentation with other libraries: import …

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Here is the CSV file that I am working with: `"A","B","C","D","E","F","G","H","I","J" "88",18,1,"<Req TID=""34"" ReqType=""MS""><IISO /><CID>2</CID><MemID>0000</MemID><MemPass /><RequestData><S>[REMOVED]</S><Na /><La /><Card>[REMOVED]</Card><Address /><HPhone /><Mail /></ReqData></Req>","<Response T=""3"" RequestType=""MS""><MS><Memb><PrivateMembers /><Ob>0-12-af</Ob><Locator /></Memb><S>[REMOVED]</S><CNum>[REMOVED]</CNum><FName /><LaName /><Address /><HPhone /><Email /><IISO /><MemID /><MemPass /><T /><CID /><T /></MS></Response>",0-JAN-10 12.00.02 AM,27-JUN-15 12.00.00 AM,"26",667,0 "22",22,1,"<Req TID=""45"" ReqType=""MS""><IISO /><CID>4</CID><MemID>0000</MemID><MemPass /><RequestData><S>[REMOVED]</S><Na /><La /><Card>[REMOVED]</Card><Address /><HPhone /><Mail /></ReqData></Req>","<Response …

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Member Avatar for Saran_1

I have the CSV with the following column headers: "G","Association","Subset","Rank","First Name","Last Name","Middle Name","Date of Birth","SS","Drivers License Number","Address","Phone Number","A","CF","CM","I","F","J","CN","I","CN" The Output XML format is what I seek: <GIs> <GIR> <G></G> <GM> <FirstName></FirstName> <LastName></LastName> <MiddleName></MiddleName> <FullName></FullName> <DateofBirth></DateofBirth> <SS></SS> <DriversLicenseNumber></DriversLicenseNumber> <Address> <AddressText></AddressText> <Latitude></Latitude> <Longitude></Longitude> </Address> <PhoneNumber></PhoneNumber> <A></A> <CF></CF> <CM></CM> <Association></Association> <Subset></Subset> <Rank></Rank> <I></I> …

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Member Avatar for Saran_1

I am currently troubleshooting a utility that I have been working on. The main file of the utility is below. Please not that `flatten_dict` and `makerows` are seperate files and functions, respectively. My objectives are to: * Recursively traverse a directory - done * Find XML and text files only …

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Member Avatar for Saran_1

I am currently attempting to work on converting a fairly sizeable JSON object and convert it into a CSV format. However, when I attempt to do so, using a conventional approach (that seems to work with other files). I am presented with a "ValueError: too many values to unpack" I …

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Member Avatar for Saran_1

Good Afternoon: I would like to have this JSON object written out to a CSV file so that the keys are header fields (for each of the columns) and the values are values that are associated with each header field. Is there a best practice for working with this? Ideally …

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