CSV data manipulation

CSV spreadsheet files are suitable for storing tabular data in a relatively portable way.

CSV data manipulation
You are encouraged to solve this task according to the task description, using any language you may know.

The CSV format is flexible but somewhat ill-defined.

For present purposes, authors may assume that the data fields contain no commas, backslashes, or quotation marks.

Task

Read a CSV file, change some values and save the changes back to a file.

For this task we will use the following CSV file:

C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 

Suggestions

• Show how to add a column, headed 'SUM', of the sums of the rows.
• If possible, illustrate the use of built-in or standard functions, methods, or libraries, that handle generic CSV files.

Related tasks

• Convert_CSV_records_to_TSV

11l

L(=line) File(‘data.csv’).read_lines() I L.index == 0 line ‘’= ‘,SUM’ E line ‘’= ‘,’sum(line.split(‘,’).map(Int)) print(line)

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Ada

Ada has no build-in or predefined functions to read or write CSV tables. We thus define a (very simplistic) package CSV, which allows to read a row (function Line), to step from column to column (function Next), and to get the items in the column (function Item):

package CSV is type Row(<>) is tagged private; function Line(S: String; Separator: Character := ',') return Row; function Next(R: in out Row) return Boolean; -- if there is still an item in R, Next advances to it and returns True function Item(R: Row) return String; -- after calling R.Next i times, this returns the i'th item (if any) private type Row(Length: Natural) is tagged record Str: String(1 .. Length); Fst: Positive; Lst: Natural; Nxt: Positive; Sep: Character; end record; end CSV; 

The implementation of the package is

package body CSV is function Line(S: String; Separator: Character := ',') return Row is (Length => S'Length, Str => S, Fst => S'First, Lst => S'Last, Nxt => S'First, Sep => Separator); function Item(R: Row) return String is (R.Str(R.Fst .. R.Lst)); function Next(R: in out Row) return Boolean is Last: Natural := R.Nxt; begin R.Fst := R.Nxt; while Last <= R.Str'Last and then R.Str(Last) /= R.Sep loop -- find Separator Last := Last + 1; end loop; R.Lst := Last - 1; R.Nxt := Last + 1; return (R.Fst <= R.Str'Last); end Next; end CSV; 

Finally, the main program which uses the package CSV:

with CSV, Ada.Text_IO; use Ada.Text_IO; procedure CSV_Data_Manipulation is Header: String := Get_Line; begin Put_Line(Header & ", SUM"); while not End_Of_File loop declare R: CSV.Row := CSV.Line(Get_Line); Sum: Integer := 0; begin while R.Next loop Sum := Sum + Integer'Value(R.Item); Put(R.Item & ","); end loop; Put_Line(Integer'Image(Sum)); end; end loop; end CSV_Data_Manipulation; 

Output:

>./csv_data_manipulation < csv_sample.csv C1,C2,C3,C4,C5, SUM 1,5,9,13,17, 45 2,6,10,14,18, 50 3,7,11,15,19, 55 4,8,12,16,20, 60

Aime

void read_csv(list t, text path) { file f; list l; f_affix(f, path); while (f_news(f, l, 0, 0, ",") ^ -1) { l_append(t, l); } } list sum_columns(list t) { list c, l; integer i; l_append(c, "SUM"); for (i, l in t) { if (i) { integer j, sum; text s; sum = 0; for (j, s in l) { sum += atoi(s); } l_append(c, sum); } } return c; } void add_column(list t, list c) { integer i; list l; for (i, l in t) { l_append(l, c[i]); } } void write_csv(list t, text path) { integer i; file f; list l; f_create(f, path, 00644); for (i, l in t) { f_(f, l[0]); l_ocall(l, f_, 2, 1, -1, f, ","); f_newline(f); } } integer main(void) { list t; read_csv(t, "tmp/CSV_data_manipulation.csv"); add_column(t, sum_columns(t)); write_csv(t, "tmp/CSV_data_manipulated.csv"); return 0; }

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

ALGOL 68

# count occurrances of a char in string # PROC char count = (CHAR c, STRING str) INT: BEGIN INT count := 0; FOR i TO UPB str DO IF c = str[i] THEN count +:= 1 FI OD; count END; # split string on separator # PROC char split = (STRING str, CHAR sep) FLEX[]STRING : BEGIN INT strlen := UPB str, cnt := 0; INT len, p; INT start := 1; [char count (sep, str) + 1] STRING list; WHILE start <= strlen ANDF char in string (sep, p, str[start:]) DO p +:= start - 1; list[cnt +:= 1] := str[start:p-1]; start := p + 1 OD; IF cnt = 0 THEN list[cnt +:= 1] := str ELIF start <= UPB str + 1 THEN list[cnt +:= 1] := str[start:] FI; list END; PROC join = ([]STRING words, STRING sep) STRING: IF UPB words > 0 THEN STRING str := words [1]; FOR i FROM 2 TO UPB words DO str +:= sep + words[i] OD; str ELSE "" FI; # read a line from file # PROC readline = (REF FILE f) STRING: BEGIN STRING line; get (f, line); new line (f); line END; # Add one item to tuple # OP +:= = (REF FLEX[]STRING tuple, STRING item) VOID: BEGIN [UPB tuple+1]STRING new; new[:UPB tuple] := tuple; new[UPB new] := item; tuple := new END; # convert signed number TO INT # OP TOINT = (STRING str) INT: BEGIN INT n := 0, sign := 1; FOR i TO UPB str WHILE sign /= 0 DO IF is digit (str[i]) THEN n := n * 10 + ABS str[i] - ABS "0" ELIF i = 1 AND str[i] = "-" THEN sign := -1 ELIF i /= 1 OR str[i] /= "+" THEN sign := 0 FI OD; n * sign END; OP STR = (INT i) STRING: whole (i,0); # The main program # FILE foo; open (foo, "CSV_data_manipulation.data", stand in channel); FLEX[0]STRING header := char split (readline (foo), ","); header +:= "SUM"; print ((join (header, ","), new line)); WHILE NOT end of file (foo) DO FLEX[0]STRING fields := char split (readline (foo), ","); INT sum := 0; FOR i TO UPB fields DO sum +:= TOINT fields[i] OD; fields +:= STR sum; print ((join (fields, ","), new line)) OD; close (foo)

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Arturo

; data.csv ; ; C1,C2,C3,C4,C5 ; 1,5,9,13,17 ; 2,6,10,14,18 ; 3,7,11,15,19 ; 4,8,12,16,20 table: read.csv "data.csv" data: [] loop table 'row [ addable: ["SUM"] if row <> first table -> addable: @[to :string sum map row 'x [to :integer x]] 'data ++ @[row ++ addable] ] loop data 'row [ loop row 'column -> prints pad column 6 print "" ] 

AutoHotkey

Loop, Read, Data.csv { i := A_Index Loop, Parse, A_LoopReadLine, CSV Output .= (i=A_Index && i!=1 ? A_LoopField**2 : A_LoopField) (A_Index=5 ? "`n" : ",") } FileAppend, %Output%, NewData.csv 

Output:

C1,C2,C3,C4,C5 1,25,9,13,17 2,6,100,14,18 3,7,11,225,19 4,8,12,16,400

AWK

adds a column sum to a csv table

#!/usr/bin/awk -f BEGIN { FS = OFS = "," } NR==1 { print $0, "SUM" next } { sum = 0 for (i=1; i<=NF; i++) { sum += $i } print $0, sum } 

awk -f csv_data_manipulation.awk data.csv C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

BaCon

Load the data, change a value and add a column with totals. Then save and print.

OPTION COLLAPSE TRUE OPTION DELIM "," csv$ = LOAD$("data.csv") DOTIMES AMOUNT(csv$, NL$) line$ = TOKEN$(csv$, _, NL$) IF _ = 1 THEN total$ = APPEND$(line$, 0, "SUM") ELSE line$ = CHANGE$(line$, _, STR$(_*10) ) total$ = APPEND$(total$, 0, line$, NL$) total$ = APPEND$(total$, 0, STR$(LOOP(i, AMOUNT(line$), VAL(TOKEN$(line$, i)))) ) FI DONE SAVE total$ TO "data.csv" PRINT total$

C1,C2,C3,C4,C5,SUM 1,20,9,13,17,60 2,6,30,14,18,70 3,7,11,40,19,80 4,8,12,16,50,90 

BASIC

Works with: QBasic version 1.1

Works with: QuickBasic version 4.5

Translation of: FreeBASIC

OPEN "manip.csv" FOR INPUT AS #1 OPEN "manip2.csv" FOR OUTPUT AS #2 LINE INPUT #1, header$ PRINT #2, header$ + ",SUM" WHILE NOT EOF(1)  INPUT #1, c1, c2, c3, c4, c5  sum = c1 + c2 + c3 + c4 + c5  WRITE #2, c1, c2, c3, c4, c5, sum WEND CLOSE #1, #2 END 

Output:

Igual que la entrada de FreeBASIC. 

BQN

csvstr ← ⟨"C1,C2,C3,C4,C5", "1,5,9,13,17", "2,6,10,14,18", "3,7,11,15,19", "4,8,12,16,20"⟩ Split ← (⊢-˜¬×+`)∘=⟜','⊸⊔ strdata ← >Split¨csvstr intdata ← •BQN¨⌾(1⊸↓) strdata sums ← ⟨"SUMS"⟩ ∾+´˘ 1↓ intdata done ← sums ∾˜˘ intdata 

C

#define TITLE "CSV data manipulation" #define URL "http://rosettacode.org/wiki/CSV_data_manipulation" #define _GNU_SOURCE #define bool int #include <stdio.h> #include <stdlib.h> /* malloc...*/ #include <string.h> /* strtok...*/ #include <ctype.h> #include <errno.h> /**  * How to read a CSV file ?  */ typedef struct {  char * delim;  unsigned int rows;  unsigned int cols;  char ** table; } CSV; /**   * Utility function to trim whitespaces from left & right of a string  */ int trim(char ** str) {  int trimmed;  int n;  int len;    len = strlen(*str);  n = len - 1;  /* from right */  while((n>=0) && isspace((*str)[n])) {  (*str)[n] = '\0';   trimmed += 1;  n--;  }  /* from left */  n = 0;  while((n < len) && (isspace((*str)[0]))) {  (*str)[0] = '\0';   *str = (*str)+1;  trimmed += 1;  n++;  }  return trimmed; } /**   * De-allocate csv structure   */ int csv_destroy(CSV * csv) {  if (csv == NULL) { return 0; }  if (csv->table != NULL) { free(csv->table); }  if (csv->delim != NULL) { free(csv->delim); }  free(csv);  return 0; } /**  * Allocate memory for a CSV structure   */ CSV * csv_create(unsigned int cols, unsigned int rows) {  CSV * csv;    csv = malloc(sizeof(CSV));  csv->rows = rows;  csv->cols = cols;  csv->delim = strdup(",");  csv->table = malloc(sizeof(char *) * cols * rows);  if (csv->table == NULL) { goto error; }  memset(csv->table, 0, sizeof(char *) * cols * rows);  return csv; error:  csv_destroy(csv);  return NULL; } /**  * Get value in CSV table at COL, ROW  */ char * csv_get(CSV * csv, unsigned int col, unsigned int row) {  unsigned int idx;  idx = col + (row * csv->cols);  return csv->table[idx]; } /**  * Set value in CSV table at COL, ROW  */ int csv_set(CSV * csv, unsigned int col, unsigned int row, char * value) {  unsigned int idx;  idx = col + (row * csv->cols);  csv->table[idx] = value;  return 0; } void csv_display(CSV * csv) {  int row, col;  char * content;  if ((csv->rows == 0) || (csv->cols==0)) {  printf("[Empty table]\n");  return ;  }  printf("\n[Table cols=%d rows=%d]\n", csv->cols, csv->rows);  for (row=0; row<csv->rows; row++) {  printf("[|");  for (col=0; col<csv->cols; col++) {  content = csv_get(csv, col, row);  printf("%s\t|", content);  }  printf("]\n");  }  printf("\n"); } /**  * Resize CSV table  */ int csv_resize(CSV * old_csv, unsigned int new_cols, unsigned int new_rows) {  unsigned int cur_col,   cur_row,   max_cols,  max_rows;  CSV * new_csv;  char * content;  bool in_old, in_new;  /* Build a new (fake) csv */  new_csv = csv_create(new_cols, new_rows);  if (new_csv == NULL) { goto error; }  new_csv->rows = new_rows;  new_csv->cols = new_cols;  max_cols = (new_cols > old_csv->cols)? new_cols : old_csv->cols;  max_rows = (new_rows > old_csv->rows)? new_rows : old_csv->rows;  for (cur_col=0; cur_col<max_cols; cur_col++) {  for (cur_row=0; cur_row<max_rows; cur_row++) {  in_old = (cur_col < old_csv->cols) && (cur_row < old_csv->rows);  in_new = (cur_col < new_csv->cols) && (cur_row < new_csv->rows);  if (in_old && in_new) {  /* re-link data */  content = csv_get(old_csv, cur_col, cur_row);  csv_set(new_csv, cur_col, cur_row, content);  } else if (in_old) {  /* destroy data */  content = csv_get(old_csv, cur_col, cur_row);  free(content);  } else { /* skip */ }  }  }  /* on rows */   free(old_csv->table);  old_csv->rows = new_rows;  old_csv->cols = new_cols;  old_csv->table = new_csv->table;  new_csv->table = NULL;  csv_destroy(new_csv);  return 0; error:  printf("Unable to resize CSV table: error %d - %s\n", errno, strerror(errno));  return -1; } /**  * Open CSV file and load its content into provided CSV structure  **/ int csv_open(CSV * csv, char * filename) {  FILE * fp;  unsigned int m_rows;  unsigned int m_cols, cols;  char line[2048];  char * lineptr;  char * token;  fp = fopen(filename, "r");  if (fp == NULL) { goto error; }  m_rows = 0;  m_cols = 0;  while(fgets(line, sizeof(line), fp) != NULL) {  m_rows += 1;  cols = 0;  lineptr = line;  while ((token = strtok(lineptr, csv->delim)) != NULL) {  lineptr = NULL;  trim(&token);  cols += 1;  if (cols > m_cols) { m_cols = cols; }  csv_resize(csv, m_cols, m_rows);  csv_set(csv, cols-1, m_rows-1, strdup(token));  }  }  fclose(fp);  csv->rows = m_rows;  csv->cols = m_cols;  return 0; error:  fclose(fp);  printf("Unable to open %s for reading.", filename);  return -1; } /**  * Open CSV file and save CSV structure content into it  **/ int csv_save(CSV * csv, char * filename) {  FILE * fp;  int row, col;  char * content;  fp = fopen(filename, "w");  for (row=0; row<csv->rows; row++) {  for (col=0; col<csv->cols; col++) {  content = csv_get(csv, col, row);  fprintf(fp, "%s%s", content,   ((col == csv->cols-1) ? "" : csv->delim) );  }  fprintf(fp, "\n");  }  fclose(fp);  return 0; } /**   * Test  */ int main(int argc, char ** argv) {  CSV * csv;  printf("%s\n%s\n\n",TITLE, URL);  csv = csv_create(0, 0);  csv_open(csv, "fixtures/csv-data-manipulation.csv");  csv_display(csv);  csv_set(csv, 0, 0, "Column0");  csv_set(csv, 1, 1, "100");  csv_set(csv, 2, 2, "200");  csv_set(csv, 3, 3, "300");  csv_set(csv, 4, 4, "400");  csv_display(csv);  csv_save(csv, "tmp/csv-data-manipulation.result.csv");  csv_destroy(csv);  return 0; } 

Output (in tmp/csv-data-manipulation.result.csv):

Column0,C2,C3,C4,C5 1,100,9,13,17 2,6,200,14,18 3,7,11,300,19 4,8,12,16,400 

Library: Gadget

#include <gadget/gadget.h> LIB_GADGET_START void Muestra_archivo_original(); Main  if(Exist_file("load_matrix.txt"))  {  /* recupero informacion del archivo para su apertura segura */  F_STAT dataFile = Stat_file("load_matrix.txt");  if(dataFile.is_matrix) // tiene forma de matriz???  {  New multitype test;    /* establezco los rangos a leer */  Range for test [0:1:dataFile.total_lines-1, 0:1:dataFile.max_tokens_per_line-1];    /* cargamos el array con detección de enteros como LONG */  test = Load_matrix_mt( pSDS(test), "load_matrix.txt", dataFile, DET_LONG);    /* modifica algunas cosas del archivo */  /* sChg() no es necesario aquí, porque no se está cambiando el tipo  de la celda, sino que se reemplaza el string: */  ///sChg( test, 0,1, "Columna 1");  /* Con Let() basta... */  Let( $s-test[0,1], "Columna 1");  $l-test[2,1] = 1000;  $l-test[2,2] = 2000;    /* inserto filas */  /* preparo la fila a insertar */  New multitype nueva_fila;  sAppend_mt(nueva_fila,"fila 3.1");  Append_mt(nueva_fila,float,0.0);  Append_mt(nueva_fila,int,0);  Append_mt(nueva_fila,double,0.0);  Append_mt(nueva_fila,long, 0L);  /* insertamos la misma fila en el array, 3 veces */  test = Insert_row_mt(pSDS(test),pSDS(nueva_fila), 4);  test = Insert_row_mt(pSDS(test),pSDS(nueva_fila), 4);  test = Insert_row_mt(pSDS(test),pSDS(nueva_fila), 4);  Free multitype nueva_fila;    Print "\nGuardando archivo en \"save_matrix.txt\"...\n";  DEC_PREC = 20; /* establece precision decimal para despliegue */    All range for test;  Save_matrix_mt(SDS(test), "save_matrix.txt" );  Free multitype test;    Print "\nArchivo original:\n";  Muestra_archivo_original();  }  } End void Muestra_archivo_original(){  String csys;  csys = `cat load_matrix.txt`;  Print "\n%s\n", csys;  Free secure csys; } 

Output:

$ ./tests/loadmt Guardando archivo en "save_matrix.txt"... Archivo original: +,head 1,head 2,head 3,head 4 fila 1,0.7226562500000,0.7198443412781,0.7170542478561,0.7142857313156 fila 2,83,77,93,86 fila 3,0.5000000000000,0.5150380749101,0.5299192642332,0.5446390350150 fila 4,30886,36915,38335,60492 fila 5,1.8213465987073e+2,1.8213465987073e+4,1.8213465987073e+6,1.8213465987073e+8 fila 6,1.8213465987073e-2,1.8213465987073e-4,1.8213465987073e-6,1.8213465987073e-8 $ cat save_matrix.txt +,Columna 1,head 2,head 3,head 4 fila 1,0.72265625000000000000,0.71984434127810004167,0.71705424785609994665,0.71428573131560002540 fila 2,1000,2000,93,86 fila 3,0.50000000000000000000,0.51503807491010000774,0.52991926423320001582,0.54463903501499999482 fila 3.1,0.00000000000000000000,0,0.00000000000000000000,0 fila 3.1,0.00000000000000000000,0,0.00000000000000000000,0 fila 3.1,0.00000000000000000000,0,0.00000000000000000000,0 fila 4,30886,36915,38335,60492 fila 5,182.13465987073001883800,18213.46598707299926900305,1821346.59870730014517903328,182134659.87073001265525817871 fila 6,0.01821346598707300132,0.00018213465987073003,0.00000182134659870730,0.00000001821346598707 $ 

C#

using System.IO; using System.Linq; namespace CSV_data_manipulation {  class Program  {  static void Main()  {  var input = File.ReadAllLines("test_in.csv");  var output = input.Select((line, i) =>  {  if (i == 0)  return line + ",SUM";  var sum = line.Split(',').Select(int.Parse).Sum();  return line + "," + sum;  }).ToArray();  File.WriteAllLines("test_out.csv", output);  }  } } 

Output (in test_out.csv):

Column0,C2,C3,C4,C5,SUM 1,100,9,13,17,140 2,6,200,14,18,240 3,7,11,300,19,340 4,8,12,16,400,440 

C++

#include <map> #include <vector> #include <iostream> #include <fstream> #include <utility> #include <functional> #include <string> #include <sstream> #include <algorithm> #include <cctype> class CSV { public:  CSV(void) : m_nCols( 0 ), m_nRows( 0 )  {}  bool open( const char* filename, char delim = ',' )  {  std::ifstream file( filename );    clear();  if ( file.is_open() )  {  open( file, delim );  return true;  }  return false;  }  void open( std::istream& istream, char delim = ',' )  {  std::string line;  clear();  while ( std::getline( istream, line ) )  {  unsigned int nCol = 0;  std::istringstream lineStream(line);  std::string cell;  while( std::getline( lineStream, cell, delim ) )  {  m_oData[std::make_pair( nCol, m_nRows )] = trim( cell );  nCol++;  }  m_nCols = std::max( m_nCols, nCol );  m_nRows++;  }  }  bool save( const char* pFile, char delim = ',' )  {  std::ofstream ofile( pFile );  if ( ofile.is_open() )  {  save( ofile );  return true;  }  return false;  }  void save( std::ostream& ostream, char delim = ',' )  {  for ( unsigned int nRow = 0; nRow < m_nRows; nRow++ )  {  for ( unsigned int nCol = 0; nCol < m_nCols; nCol++ )  {  ostream << trim( m_oData[std::make_pair( nCol, nRow )] );  if ( (nCol+1) < m_nCols )  {  ostream << delim;  }  else  {  ostream << std::endl;  }  }  }  }  void clear()  {  m_oData.clear();  m_nRows = m_nCols = 0;  }  std::string& operator()( unsigned int nCol, unsigned int nRow )  {  m_nCols = std::max( m_nCols, nCol+1 );  m_nRows = std::max( m_nRows, nRow+1 );  return m_oData[std::make_pair(nCol, nRow)];  }  inline unsigned int GetRows() { return m_nRows; }  inline unsigned int GetCols() { return m_nCols; } private:  // trim string for empty spaces in begining and at the end  inline std::string &trim(std::string &s)   {    s.erase(s.begin(), std::find_if(s.begin(), s.end(), std::not1(std::ptr_fun<int, int>(std::isspace))));  s.erase(std::find_if(s.rbegin(), s.rend(), std::not1(std::ptr_fun<int, int>(std::isspace))).base(), s.end());  return s;  } private:  std::map<std::pair<unsigned int, unsigned int>, std::string> m_oData;  unsigned int m_nCols;  unsigned int m_nRows; }; int main() {  CSV oCSV;  oCSV.open( "test_in.csv" );  oCSV( 0, 0 ) = "Column0";  oCSV( 1, 1 ) = "100";  oCSV( 2, 2 ) = "200";  oCSV( 3, 3 ) = "300";  oCSV( 4, 4 ) = "400";  oCSV.save( "test_out.csv" );  return 0; } 

Output (in test_out.csv):

Column0,C2,C3,C4,C5 1,100,9,13,17 2,6,200,14,18 3,7,11,300,19 4,8,12,16,400 

Clojure

(require '[clojure.data.csv :as csv]  '[clojure.java.io :as io]) (defn add-sum-column [coll]   (let [titles (first coll)  values (rest coll)]  (cons (conj titles "SUM")   (map #(conj % (reduce + (map read-string %))) values)))) (with-open [in-file (io/reader "test_in.csv")]  (doall  (let [out-data (add-sum-column (csv/read-csv in-file))]  (with-open [out-file (io/writer "test_out.csv")]  (csv/write-csv out-file out-data))))) 

Output (in test_out.csv):

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Using tech.ml.dataset

(require '[tech.v3.dataset :as ds]  '[tech.v3.datatype.functional :as dfn]) (defn add-sum  [dataframe]  (assoc dataframe  "SUM"  (apply dfn/+ (map dataframe (ds/column-names dataframe))))) (ds/write! (add-sum (ds/->dataset "resources/input.csv")) "resources/output.csv") 

COBOL

  IDENTIFICATION DIVISION.   PROGRAM-ID. CSV.   AUTHOR. Bill Gunshannon.   INSTALLATION. Home.   DATE-WRITTEN. 19 December 2021.  ************************************************************  ** Program Abstract:  ** CSVs are something COBOL does pretty well.  ** The commented out CONCATENATE statements are a  ** second method other than the STRING method.  ************************************************************      ENVIRONMENT DIVISION.   CONFIGURATION SECTION.   REPOSITORY.   FUNCTION ALL INTRINSIC.   INPUT-OUTPUT SECTION.   FILE-CONTROL.   SELECT CSV-File ASSIGN TO "csv.txt"   ORGANIZATION IS LINE SEQUENTIAL.   SELECT Out-File ASSIGN TO "new.csv.txt"   ORGANIZATION IS LINE SEQUENTIAL.         DATA DIVISION.      FILE SECTION.      FD  CSV-File    DATA RECORD IS CSV-Record.   01 CSV-Record.   05 Field1 PIC X(64).      FD  Out-File   DATA RECORD IS Out-Line.   01 Out-Line PIC X(80).      WORKING-STORAGE SECTION.      01 Eof PIC X  VALUE 'F'.      01 CSV-Data.   05 CSV-Col1 PIC 9(5).   05 CSV-Col2 PIC 9(5).   05 CSV-Col3 PIC 9(5).   05 CSV-Col4 PIC 9(5).   05 CSV-Col5 PIC 9(5).   01 CSV-Sum PIC ZZZ9.   01 CSV-Sum-Alpha    REDEFINES  CSV-Sum PIC X(4).      PROCEDURE DIVISION.      Main-Program.   OPEN INPUT  CSV-File   OPEN OUTPUT Out-File   PERFORM Read-a-Record   PERFORM Build-Header   PERFORM UNTIL Eof = 'T'   PERFORM Read-a-Record   IF Eof NOT EQUAL 'T' PERFORM Process-a-Record   END-PERFORM   CLOSE CSV-File   CLOSE Out-File   STOP RUN.      Read-a-Record.   READ CSV-File    AT END MOVE 'T' TO Eof   END-READ.   Build-Header.  ** MOVE CONCATENATE(TRIM(CSV-Record), ",SUM"  ** TO Out-Line.   STRING TRIM(CSV-Record), ",SUM" INTO Out-Line.   WRITE Out-Line.   MOVE SPACES TO Out-Line.   Process-a-Record.   UNSTRING CSV-Record DELIMITED BY ',' INTO   CSV-Col1 CSV-Col2 CSV-Col3 CSV-Col4 CSV-Col5.   COMPUTE CSV-Sum =    CSV-Col1 + CSV-Col2 + CSV-Col3 + CSV-Col4 + CSV-Col5.  ** MOVE CONCATENATE(TRIM(CSV-Record), "," TRIM(CSV-Sum-Alpha))  ** TO Out-Line.   STRING TRIM(CSV-Record), "," TRIM(CSV-Sum-Alpha)   INTO Out-Line.   WRITE Out-Line.   MOVE SPACES TO Out-Line.      END-PROGRAM. 

Common Lisp

Used only built-in functions which are in the standard. There are widespread libraries for working with csv (which can be easily loaded via quicklisp). As another example, I didn't use a split-string function, even though it is available in some implementations and in many compatibility layers and libraries. Instead, I formatted the csv file into s-expressions for the reader to understand it. Also, it deserves a mention that Common Lisp has built-in arrays, but for so little data it is easier to use nested lists.

(defun csvfile-to-nested-list (filename delim-char)  "Reads the csv to a nested list, where each sublist represents a line."  (with-open-file (input filename)  (loop :for line := (read-line input nil) :while line  :collect (read-from-string  (substitute #\SPACE delim-char  (format nil "(~a)~%" line)))))) (defun sublist-sum-list (nested-list)  "Return a list with the sum of each list of numbers in a nested list."  (mapcar (lambda (l) (if (every #'numberp l)  (reduce #'+ l) nil))  nested-list)) (defun append-each-sublist (nested-list1 nested-list2)  "Horizontally append the sublists in two nested lists. Used to add columns."  (mapcar #'append nested-list1 nested-list2)) (defun nested-list-to-csv (nested-list delim-string)  "Converts the nested list back into a csv-formatted string."  (format nil (concatenate 'string "~{~{~2,'0d" delim-string "~}~%~}")  nested-list)) (defun main ()  (let* ((csvfile-path #p"projekte/common-lisp/example_comma_csv.txt")  (result-path #p"results.txt")  (data-list (csvfile-to-nested-list csvfile-path #\,))  (list-of-sums (sublist-sum-list data-list))  (result-header "C1,C2,C3,C4,C5,SUM"))    (setf data-list ; add list of sums as additional column  (rest ; remove old header  (append-each-sublist data-list  (mapcar #'list list-of-sums))))  ;; write to output-file  (with-open-file (output result-path :direction :output :if-exists :supersede)  (format output "~a~%~a"  result-header (nested-list-to-csv data-list ","))))) (main) 

Output (in results.txt):

C1,C2,C3,C4,C5,SUM 01,05,09,13,17,45, 02,06,10,14,18,50, 03,07,11,15,19,55, 04,08,12,16,20,60, 

D

void main() {  import std.stdio, std.csv, std.file, std.typecons, std.array,  std.algorithm, std.conv, std.range;  auto rows = "csv_data_in.csv".File.byLine;  auto fout = "csv_data_out.csv".File("w");  fout.writeln(rows.front);  fout.writef("%(%(%d,%)\n%)", rows.dropOne  .map!(r => r.csvReader!int.front.map!(x => x + 1))); } 

Output (in csv_data_out.csv):

C1,C2,C3,C4,C5 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 5,9,13,17,21

Delphi

Library: System.SysUtils

Library: System.IoUtils

Library: System.Types

Translation of: C#

program CSV_data_manipulation; {$APPTYPE CONSOLE} uses  System.SysUtils,  System.IoUtils,  System.Types; type  TStringDynArrayHelper = record helper for TStringDynArray  function Sum: Integer;  end; { TStringDynArrayHelper } function TStringDynArrayHelper.Sum: Integer; var  value: string; begin  Result := 0;  for value in self do  Result := Result + StrToIntDef(value, 0); end; const  FILENAME = './Data.csv'; var  i: integer;  Input, Row: TStringDynArray; begin  Input := TFile.ReadAllLines(FILENAME);  for i := 0 to High(Input) do  begin  if i = 0 then  Input[i] := Input[i] + ',SUM'  else  begin  Row := Input[i].Split([',']);  Input[i] := Input[i] + ',' + row.Sum.ToString;  end;  end;  TFile.WriteAllLines(FILENAME, Input); end. 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

DuckDB

Works with: DuckDB version V1.0

DuckDB has several functions that make it easy to import CSV files. For example, read_csv_auto() will infer column headers and types from the data:

create or replace table csv as from read_csv_auto('rc-csv-data-manipulation.csv'); # View the first row of the table: from csv limit 1; 

Output:

┌───────┬───────┬───────┬───────┬───────┐ │ C1 │ C2 │ C3 │ C4 │ C5 │ │ int64 │ int64 │ int64 │ int64 │ int64 │ ├───────┼───────┼───────┼───────┼───────┤ │ 1 │ 5 │ 9 │ 13 │ 17 │ └───────┴───────┴───────┴───────┴───────┘ 

Writing out the data to a CSV file with an added column can be done in one step if desired:

copy  (select *, (C1 + C2 + C3 + C4 + C5) as sum  from csv)  to 'junk.csv'; 

Or the table itself can be modified, and then exported as a CSV file:

ALTER TABLE csv ADD COLUMN sum integer; UPDATE csv SET sum = C1 + C2 + C3 + C4 + C5; copy csv to 'junk2.csv'; 

EasyLang

s$ = input print s$ & ",SUM" repeat s$ = input until s$ = "" sum = 0 for v in number strsplit s$ "," sum += v . print s$ & "," & sum . input_data C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

EchoLisp

;; CSV -> LISTS (define (csv->row line) (map (lambda(x) (or (string->number x) x)) (string-split line ","))) (define (csv->table csv) (map csv->row (string-split csv "\n"))) ;; LISTS -> CSV (define (row->csv row) (string-join row ",")) (define (table->csv header rows)  (string-join (cons (row->csv header) (for/list ((row rows)) (row->csv row))) "\n")) (define (task file)  (let*  ((table (csv->table file))  (header (first table))  (rows (rest table)))    (table->csv  (append header "SUM") ;; add last column  (for/list ((row rows)) (append row (apply + row)))))) 

Output:

(define file.csv #<< C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 >>#) (task file.csv)  → "C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60" 

ECL

// Assumes a CSV file exists and has been sprayed to a Thor cluster MyFileLayout := RECORD STRING Field1; STRING Field2; STRING Field3; STRING Field4; STRING Field5; END; MyDataset := DATASET ('~Rosetta::myCSVFile', MyFileLayout,CSV(SEPARATOR(','))); MyFileLayout Appended(MyFileLayout pInput):= TRANSFORM SELF.Field1 := pInput.Field1 +'x'; SELF.Field2 := pInput.Field2 +'y'; SELF.Field3 := pInput.Field3 +'z'; SELF.Field4 := pInput.Field4 +'a'; SELF.Field5 := pInput.Field5 +'b'; END ; MyNewDataset := PROJECT(MyDataset,Appended(LEFT)); OUTPUT(myNewDataset,,'~Rosetta::myNewCSVFile',CSV,OVERWRITE); 

Output:

(contents of Rosetta

:myNewCSVFile):

C1x,C2y,C3z,C4a,C5b 1x,5y,9z,13a,17b 2x,6y,10z,14a,18b 3x,7y,11z,15a,19b 4x,8y,12z,16a,20b 

Elixir

defmodule Csv do  defstruct header: "", data: "", separator: ","  def from_file(path) do  [header | data] = path  |> File.stream!  |> Enum.to_list  |> Enum.map(&String.trim/1)  %Csv{ header: header, data: data }  end  def sums_of_rows(csv) do  Enum.map(csv.data, fn (row) -> sum_of_row(row, csv.separator) end)  end  def sum_of_row(row, separator) do  row  |> String.split(separator)  |> Enum.map(&String.to_integer/1)  |> Enum.sum  |> to_string  end  def append_column(csv, column_header, column_data) do  header = append_to_row(csv.header, column_header, csv.separator)  data = [csv.data, column_data]  |> List.zip  |> Enum.map(fn ({ row, value }) ->  append_to_row(row, value, csv.separator)  end)  %Csv{ header: header, data: data }  end  def append_to_row(row, value, separator) do  row <> separator <> value  end  def to_file(csv, path) do  body = Enum.join([csv.header | csv.data], "\n")  File.write(path, body)  end end csv = Csv.from_file("in.csv") csv |> Csv.append_column("SUM", Csv.sums_of_rows(csv)) |> Csv.to_file("out.csv") 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Erlang

-module( csv_data ). -export( [change/2, from_binary/1, from_file/1, into_file/2, task/0] ). change( CSV, Changes ) -> lists:foldl( fun change_foldl/2, CSV, Changes ). from_binary( Binary ) ->  Lines = binary:split( Binary, <<"\n">>, [global] ),  [binary:split(X, <<",">>, [global]) || X <- Lines]. from_file( Name ) ->  {ok, Binary} = file:read_file( Name ),  from_binary( Binary ). into_file( Name, CSV ) ->  Binaries = join_binaries( [join_binaries(X, <<",">>) || X <- CSV], <<"\n">> ),  file:write_file( Name, Binaries ). task() ->  CSV = from_file( "CSV_file.in" ),  New_CSV = change( CSV, [{2,3,<<"23">>}, {4,4,<<"44">>}] ),  into_file( "CSV_file.out", New_CSV ). change_foldl( {Row_number, Column_number, New}, Acc ) ->  {Row_befores, [Row_columns | Row_afters]} = split( Row_number, Acc ),  {Column_befores, [_Old | Column_afters]} = split( Column_number, Row_columns ),  Row_befores ++ [Column_befores ++ [New | Column_afters]] ++ Row_afters. join_binaries( Binaries, Binary ) ->  [_Last | Rest] = lists:reverse( lists:flatten([[X, Binary] || X <- Binaries]) ),  lists:reverse( Rest ). split( 1, List ) -> {[], List}; split( N, List ) -> lists:split( N - 1, List ). 

Output:

Contents of "CSV_file.out"

C1,C2,C3,C4,C5 1,5,23,13,17 2,6,10,14,18 3,7,11,44,19 4,8,12,16,20 

Euphoria

--- Read CSV file and add columns headed with 'SUM' --- with trace -- trace(0) include get.e include std/text.e function split(sequence s, integer c) sequence removables = " \t\n\r\x05\u0234\" " sequence out integer first, delim out = {} first = 1 while first <= length(s) do delim = find_from(c,s,first) if delim = 0 then delim = length(s)+1 end if out = append(out,trim(s[first..delim-1],removables)) first = delim + 1 end while return out end function procedure main() integer fn -- the file number integer fn2 -- the output file number integer e -- the number of lines read object line -- the next line from the file sequence data = {} -- parsed csv data row sequence headerNames = {} -- array saving column names atom sum = 0.0 -- sum for each row sequence var -- holds numerical data read -- First we try to open the file called "data.csv". fn = open("data.csv", "r") if fn = -1 then puts(1, "Can't open data.csv\n") -- abort(); end if -- Then we create an output file for processed data. fn2 = open("newdata.csv", "w") if fn2 = -1 then puts(1, "Can't create newdata.csv\n") end if -- By successfully opening the file we have established that -- the file exists, and open() gives us a file number (or "handle") -- that we can use to perform operations on the file. e = 1 while 1 do line = gets(fn) if atom(line) then exit end if data = split(line, ',') if (e=1) then -- Save the header labels and -- write them to output file. headerNames = data for i=1 to length(headerNames) do printf(fn2, "%s,", {headerNames[i]}) end for printf(fn2, "SUM\n") end if -- Run a sum for the numerical data. if (e >= 2) then for i=1 to length(data) do printf(fn2, "%s,", {data[i]}) var = value(data[i]) if var[1] = 0 then -- data read is numerical -- add to sum sum = sum + var[2] end if end for printf(fn2, "%g\n", {sum}) sum = 0.0 end if e = e + 1 end while close(fn) close(fn2) end procedure main()

Output:

Contents of "newdata.csv"

C1 C2 C3 C4 C5 SUM 1 5 9 13 17 45 2 6 10 14 18 50 3 7 11 15 19 55 4 8 12 16 20 60 

F#

open System.IO [<EntryPoint>] let main _ =  let input = File.ReadAllLines "test_in.csv"  let output =   input  |> Array.mapi (fun i line ->   if i = 0 then line + ",SUM"   else  let sum = Array.sumBy int (line.Split(','))  sprintf "%s,%i" line sum)  File.WriteAllLines ("test_out.csv", output)  0 

Output (in test_out.csv):

Column0,C2,C3,C4,C5,SUM 1,100,9,13,17,140 2,6,200,14,18,240 3,7,11,300,19,340 4,8,12,16,400,440 

Factor

The csv vocabulary provides words for working with csv files, strings, and streams.

USING: csv io.encodings.utf8 kernel math.parser sequences ; IN: rosetta-code.csv-manipulation : append-sum ( seq -- seq' )  dup [ string>number ] map-sum number>string suffix ; : csv-sums ( seq -- seq' )  [ 0 = [ "SUM" suffix ] [ append-sum ] if ] map-index ; "example.csv" utf8 [ file>csv csv-sums ] [ csv>file ] 2bi 

Output:

Contents of example.csv

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Forth

\ csvsum.fs Add a new column named SUM that contain sums from rows of CommaSeparatedValues \ USAGE: \ gforth-fast csvsum.fs -e "stdout stdin csvsum bye" <input.csv >output.csv  CHAR , CONSTANT SEPARATOR  3 CONSTANT DECIMALS  1E1 DECIMALS S>D D>F F** FCONSTANT FSCALE : colsum ( ca u -- F: -- sum ;return SUM from CSV-string )  0E0 OVER SWAP BOUNDS  ?DO ( a )  I C@ SEPARATOR =  IF ( a )  I TUCK OVER - >FLOAT IF F+ THEN  1+  THEN  LOOP DROP ; : f>string ( -- ca u F: x -- )  FSCALE F*  F>D TUCK DABS <# DECIMALS 0 DO # LOOP [CHAR] . HOLD #S ROT SIGN #> ; : rowC!+ ( offs char -- u+1 ;store CHAR at here+OFFS,increment offset )  OVER HERE + C! 1+ ; : row$!+ ( offs ca u -- offs+u ;store STRING at here+OFFS,update offset )  ROT 2DUP + >R HERE + SWAP MOVE R> ; \ If run program with '-m 4G'option, we have practically 4G to store a row : csvsum ( fo fi -- ;write into FILEID-OUTPUT processed input from FILEID-INPUT )  2DUP  HERE UNUSED ROT READ-LINE THROW  IF ( fo fi fo u )  HERE SWAP ( fo fi fo ca u )  SEPARATOR rowC!+  s\" SUM" row$!+ ( fo fi fo ca u' )  ROT WRITE-LINE THROW  BEGIN ( fo fi )  2DUP HERE UNUSED ROT READ-LINE THROW  WHILE ( fo fi fo u )  HERE SWAP ( fo fi fo ca u )  SEPARATOR rowC!+  HERE OVER colsum f>string ( fo fi fo ca u ca' u' )  row$!+ ( fo fi fo ca u'+u )  ROT WRITE-LINE THROW  REPEAT  THEN  2DROP 2DROP ; 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45.000 2,6,10,14,18,50.000 3,7,11,15,19,55.000 4,8,12,16,20,60.000

Fortran

Fortran 2003

It's fairly easy to read arbitrary lines using allocatable character strings, available since Fortran 2003.

program rowsum  implicit none  character(:), allocatable :: line, name, a(:)  character(20) :: fmt  double precision, allocatable :: v(:)  integer :: n, nrow, ncol, i    call get_command_argument(1, length=n)  allocate(character(n) :: name)  call get_command_argument(1, name)  open(unit=10, file=name, action="read", form="formatted", access="stream")  deallocate(name)    call get_command_argument(2, length=n)  allocate(character(n) :: name)  call get_command_argument(2, name)  open(unit=11, file=name, action="write", form="formatted", access="stream")  deallocate(name)  nrow = 0  ncol = 0  do while (readline(10, line))  nrow = nrow + 1    call split(line, a)    if (nrow == 1) then  ncol = size(a)  write(11, "(A)", advance="no") line  write(11, "(A)") ",Sum"  allocate(v(ncol + 1))  write(fmt, "('(',G0,'(G0,:,''',A,'''))')") ncol + 1, ","  else  if (size(a) /= ncol) then  print "(A,' ',G0)", "Invalid number of values on row", nrow  stop  end if  do i = 1, ncol  read(a(i), *) v(i)  end do  v(ncol + 1) = sum(v(1:ncol))  write(11, fmt) v  end if  end do  close(10)  close(11) contains  function readline(unit, line)  use iso_fortran_env  logical :: readline  integer :: unit, ios, n  character(:), allocatable :: line  character(10) :: buffer    line = ""  readline = .false.  do  read(unit, "(A)", advance="no", size=n, iostat=ios) buffer  if (ios == iostat_end) return  readline = .true.  line = line // buffer(1:n)  if (ios == iostat_eor) return  end do  end function  subroutine split(line, array, separator)  character(*) line  character(:), allocatable :: array(:)  character, optional :: separator  character :: sep  integer :: n, m, p, i, k    if (present(separator)) then  sep = separator  else  sep = ","  end if    n = len(line)  m = 0  p = 1  k = 1  do i = 1, n  if (line(i:i) == sep) then  p = p + 1  m = max(m, i - k)  k = i + 1  end if  end do  m = max(m, n - k + 1)    if (allocated(array)) deallocate(array)  allocate(character(m) :: array(p))  p = 1  k = 1  do i = 1, n  if (line(i:i) == sep) then  array(p) = line(k:i-1)  p = p + 1  k = i + 1  end if  end do  array(p) = line(k:n)  end subroutine end program 

Old Fortran

This task in general soon becomes messy, especially when texts instead of numbers are amongst the input possibilities. Primarily, what is the upper bound on the number of values to a line? Will all lines have the same number of values; if not, is this an error? Do the data have special types (such as calendar dates?) or are all simple numbers? Very soon it becomes better to read a record as text and scan the text: problems can then be dealt with and good complaints made. So, how long is the longest record? Only the B6700 filesystem would make available a file's maximum record length: others offer no help. I have confronted a singularly witless format for supplying electricity data that would write up to an entire year's worth of half-hourly values to one line though it might be used to write just a few day's worth of data also. The header line specified the date and time slot for each column as Country,Island,Node,MEAN Energy,01AUG2010 Daily ENERGY,01AUG2010 01,01AUG2010 02,01AUG2010 03, etc. so all-in-all it was less trouble to specify CHARACTER*246810 for the input record scratchpad so as not to have to struggle with piecemeal input. More generally, I have a routine for reading this sort of data that, provoked by multiple methods of specifying dates and times, is 1,500 lines long...

Rather than present a monster, what follows is a simple programme that employs the Fortran free-format (or "list-directed") input protocol, applied to the example data. Each READ statement reads an arbitrary number of input records until its input list is satisfied. In this case, notably, every line has five values, and five values are requested in each READ. Instead of numbers the first line presents texts that are column headings and, happily, the free-format input reader will parse the example headings as desired, provided that the read statement's input list is of CHARACTER type, not a number type. Commas are used as as delimiters, and the READ statement accepts that, but also spaces; fortunately no spaces appear within the heading texts. This would be the first reason for writing a data-scanning system. It also accepts quoted texts (and also, allows hexadecimal/octal/binary values thereby) but this example does not require them. On the other hand, the appearance of a / in an input line marks the end of reading for that line and if the input list demands more data, an additional input record will be sought. Thus, if the input data includes dates expressed as say 6/12/2015 there will be difficulty, and another cause for devising a data-scanning system. The ISO standard of 2015-12-6 would also cause trouble as that would manifest as three numbers, if accepted at all, there being no delimiters (spaces or commas) in the sequence. Thus the / character marks the start of in in-line comment (as ! does in later-style Fortran source code) and is treated as end-of-line. The free-format input scan also recognises boolean values ("T" or "F", without the quotes) and complex numbers presented as (real,imag) pairs, and also repetition counts as in 24*6 meaning twenty-four occurrences of the value six, alas not using the @-symbol. Opportunities escalate still further with NAMELIST style I/O (allowing name = value(s)), so considerable flexibility is available. However, the input statement's list of variables must have the correct type for the input data (or vice-versa) and the counting of the number of values requested and the number supplied must be correct too, lest everything get out of step. These are further reasons for writing a data-scanning system, but for the simple example, the standard features suffice. The idea is that these features suffice for getting data into a programme without much trouble, so that programming time can be devoted to what is to be done with the data, not how they are to be read.

So much for the header. The data lines can be read as numbers without difficulty, as they are numbers, so all that is necessary is that the input list be of type number. Chosen to be integer here, to match the example.

Output presents some worries, the usual one being how long is a piece of string? Unlike a number, which can be read as input with arbitrary size (0007 or 7, or 7.000000, etc.) character sequences are not translated into a number. Until there is provision for reading a string of arbitrary length, which will be stored by the READ statement as a string of an arbitrary length as encountered, an upper bound must be specified, and for this problem, six will do. For output, the special function TRIM removes trailing spaces, but is an intrinsic function only for F90 and later. Alas, it does not work for an array span, only a specific element at a time, so an implicit DO-loop is needed in the WRITE statement. Text literals in a FORMAT statement are rolled forth until such time as there is an edit code for a list item for which the output list is already exhausted. This would normally mean that the last datum written would be followed by a comma (from the text literal ",") however the mysterious colon in the FORMAT statement (instead of the more usual comma) means that text literals following it are not to be rolled forth unless a value from the output list is still waiting for its opportunity. One could instead use 666(",",I0) to omit the trailing comma but now there would be a leading comma. So, ... I0,666(",",I0) would avoid the leading comma, except if there was only one value to send forth, there would still be a trailing comma...

Another F90 feature is the SUM function that adds the elements of an array span. Even though for the example the first column looks rather like a record number, all five columns will be added, but otherwise the statement would be SUM(X(2:N)). Other modifications can be made without much difficulty, if desired. The output format is I0 rather than say I2, as it provides only the needed number of characters to present the integer's value. There is no corresponding F format code, and free-format output would roll out many spaces as padding in case of large numbers, that are not present here. It would be needed for a more general solution, but for this example, I0 will do.

Copies a file with 5 comma-separated values to a line, appending a column holding their sum.  INTEGER N !Instead of littering the source with "5"  PARAMETER (N = 5) !Provide some provenance.  CHARACTER*6 HEAD(N) !A perfect size?  INTEGER X(N) !Integers suffice.  INTEGER LINPR,IN !I/O unit numbers.  LINPR = 6 !Standard output via this unit number.  IN = 10 !Some unit number for the input file.  OPEN (IN,FILE="CSVtest.csv",STATUS="OLD",ACTION="READ") !For formatted input.  READ (IN,*) HEAD !The first line has texts as column headings.  WRITE (LINPR,1) (TRIM(HEAD(I)), I = 1,N),"Sum" !Append a "Sum" column.  1 FORMAT (666(A:",")) !The : sez "stop if no list element awaits".  2 READ (IN,*,END = 10) X !Read a line's worth of numbers, separated by commas or spaces.  WRITE (LINPR,3) X,SUM(X) !Write, with a total appended.  3 FORMAT (666(I0:",")) !I0 editing uses only as many columns as are needed.  GO TO 2 !Do it again.  10 CLOSE (IN) !All done.  END !That's all. 

Output could of course be written to a disc file instead of a screen, but here it is:

C1,C2,C3,C4,C5,Sum 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

FreeBASIC

' FB 1.05.0 Win64 Open "manip.csv" For Input As #1 ' existing CSV file Open "manip2.csv" For Output As #2 ' new CSV file for writing changed data Dim header As String Line Input #1, header  header += ",SUM" Print #2, header Dim As Integer c1, c2, c3, c4, c5, sum While Not Eof(1)  Input #1, c1, c2, c3, c4, c5  sum = c1 + c2 + c3 + c4 + c5  Write #2, c1, c2, c3, c4, c5, sum Wend Close #1 Close #2 

Output:

' contents of manip2.csv C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

FunL

import io.{lines, PrintWriter} data Table( header, rows ) def read( file ) = l = lines( file ) def next = vector( l.next().split(',') ) if l.isEmpty() then return Table( vector(), [] ) header = next() rows = seq() while l.hasNext() rows += next() Table( header, rows.toList() ) def write( table, out ) = w = if out is String then PrintWriter( out ) else out w.println( table.header.mkString(',') ) for r <- table.rows w.println( r.mkString(',') ) if out is String w.close() def updateRow( header, row, updates ) = r = dict( (header(i), row(i)) | i <- 0:header.length() ) updates( r ) vector( r(f) | f <- header ) def update( table, updates ) = Table( table.header, (updateRow(table.header, r, updates) | r <- table.rows).toList() ) def addColumn( table, column, updates ) = Table( table.header + [column], (updateRow(table.header + [column], r + [null], updates) | r <- table.rows).toList() ) t = addColumn( read('test.csv'), 'SUM', r -> r('SUM') = sum(int(v) | (_, v) <- r if v != null) ) write( t, 'test_out.csv' ) write( t, System.out )

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

FutureBasic

This Rosetta Code task calls for the use of the following CSV file:

C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 

While this file has column headers, it lacks row identifiers. The code below adds the missing row IDs. A screenshot of the output CSV file is shown as it appears when it's opened in the macOS Numbers spreadsheet application. An extra AVG column has been added which includes an average of the numbers in each respective row. It only required a single line of code.

include "NSLog.incl" include resources "rosetta_csv.csv" /* This ASCII text data is saved as a resource file named "rosetta_csv.csv" in the application bundle. C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 */ void local fn ManipulateCSV CFURLRef url = fn BundleURLForResource( fn BundleMain, @"rosetta_csv", @"csv", NULL ) CFStringRef csvString = fn StringWithContentsOfURL( url, NSUTF8StringEncoding, NULL ) CFArrayRef csvArray = fn StringComponentsSeparatedByCharactersInSet( csvString, fn CharacterSetNewlineSet ) CFMutableStringRef mutStr = fn MutableStringWithCapacity(0) long i MutableStringAppendFormat( mutStr, @",%@,SUM,AVG\n", csvArray[0] ) for i = 1 to len(csvArray) - 1 CFArrayRef nums = fn StringComponentsSeparatedByString( csvArray[i], @"," ) CFNumberRef sum = fn ObjectValueForKeyPath( nums, @"@sum.self" ) CFNumberRef avg = fn ObjectValueForKeyPath( nums, @"@avg.self" ) MutableStringAppendFormat( mutStr, @"R%ld,%@,%@,%@\n",i,csvArray[i],sum,avg ) next NSLog( @"%@", mutStr ) CFURLRef desktopURL = fn FileManagerURLForDirectory( NSDesktopDirectory, NSUserDomainMask ) url = fn URLByAppendingPathComponent( desktopURL, @"final_csv.csv" ) fn StringWriteToURL( mutStr, url, YES, NSUTF8StringEncoding, NULL ) end fn fn ManipulateCSV HandleEvents

Output:

Gambas

Public Sub Form_Open() Dim sData As String = File.Load("data.csv") Dim sLine, sTemp As String Dim sOutput As New String[] Dim siCount As Short Dim bLine1 As Boolean For Each sLine In Split(sData, gb.NewLine)  If Not bLine1 Then   sLine &= ",SUM"  sOutput.Add(sLine)  bLine1 = True  Continue  End If  For Each sTemp In Split(sLine)  siCount += Val(sTemp)  Next  sOutput.Add(sLine & "," & Str(siCount))  siCount = 0 Next sData = "" For Each sTemp In sOutput  sData &= sTemp & gb.NewLine  Print sTemp;  Print Next File.Save(User.home &/ "CSVData.csv", sData) End 

Output:

C1, C2, C3, C4, C5,SUM 1, 5, 9, 13, 17,45 2, 6, 10, 14, 18,50 3, 7, 11, 15, 19,55 4, 8, 12, 16, 20,60 

Go

package main import (  "encoding/csv"  "log"  "os"  "strconv" ) func main() {  rows := readSample()  appendSum(rows)  writeChanges(rows) } func readSample() [][]string {  f, err := os.Open("sample.csv")  if err != nil {  log.Fatal(err)  }  rows, err := csv.NewReader(f).ReadAll()  f.Close()  if err != nil {  log.Fatal(err)  }  return rows } func appendSum(rows [][]string) {  rows[0] = append(rows[0], "SUM")  for i := 1; i < len(rows); i++ {  rows[i] = append(rows[i], sum(rows[i]))  } } func sum(row []string) string {  sum := 0  for _, s := range row {  x, err := strconv.Atoi(s)  if err != nil {  return "NA"  }  sum += x  }  return strconv.Itoa(sum) } func writeChanges(rows [][]string) {  f, err := os.Create("output.csv")  if err != nil {  log.Fatal(err)  }  err = csv.NewWriter(f).WriteAll(rows)  f.Close()  if err != nil {  log.Fatal(err)  } } 

sample.csv:

C1,C2,C3,C4,C5 1,5,9,13,17 2,six,10,14,18 3,7,11,15,19 4,8,12,16,20 

output.csv:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,six,10,14,18,NA 3,7,11,15,19,55 4,8,12,16,20,60 

Groovy

def csv = [] def loadCsv = { source -> source.splitEachLine(/,/) { csv << it.collect { it } } } def saveCsv = { target -> target.withWriter { writer -> csv.each { writer.println it.join(',') } } } loadCsv new File('csv.txt') csv[0][0] = 'Column0' (1..4).each { i -> csv[i][i] = i * 100 } saveCsv new File('csv_out.txt') 

csv_out.txt:

Column0,C2,C3,C4,C5 1,100,9,13,17 2,6,200,14,18 3,7,11,300,19 4,8,12,16,400

Haskell

Solution 1 Array-based solution:

import Data.Array (Array(..), (//), bounds, elems, listArray) import Data.List (intercalate) import Control.Monad (when) import Data.Maybe (isJust) delimiters :: String delimiters = ",;:" fields :: String -> [String] fields [] = [] fields xs =  let (item, rest) = break (`elem` delimiters) xs  (_, next) = break (`notElem` delimiters) rest  in item : fields next unfields :: Maybe (Array (Int, Int) String) -> [String] unfields Nothing = [] unfields (Just a) = every fieldNumber $ elems a  where  ((_, _), (_, fieldNumber)) = bounds a  every _ [] = []  every n xs =  let (y, z) = splitAt n xs  in intercalate "," y : every n z fieldArray :: [[String]] -> Maybe (Array (Int, Int) String) fieldArray [] = Nothing fieldArray xs =  Just $ listArray ((1, 1), (length xs, length $ head xs)) $ concat xs fieldsFromFile :: FilePath -> IO (Maybe (Array (Int, Int) String)) fieldsFromFile = fmap (fieldArray . map fields . lines) . readFile fieldsToFile :: FilePath -> Maybe (Array (Int, Int) String) -> IO () fieldsToFile f = writeFile f . unlines . unfields someChanges :: Maybe (Array (Int, Int) String)  -> Maybe (Array (Int, Int) String) someChanges =  fmap (// [((1, 1), "changed"), ((3, 4), "altered"), ((5, 2), "modified")]) main :: IO () main = do  a <- fieldsFromFile "example.txt"  when (isJust a) $ fieldsToFile "output.txt" $ someChanges a 

Solution 2 List-based solution, heavily using functors and lenses

{-# LANGUAGE FlexibleContexts,  TypeFamilies,  NoMonomorphismRestriction #-} import Data.List (intercalate) import Data.List.Split (splitOn) import Lens.Micro (<$$>) :: (Functor f1, Functor f2) =>  (a -> b) -> f1 (f2 a) -> f1 (f2 b) (<$$>) = fmap . fmap ------------------------------------------------------------ -- reading and writing newtype CSV = CSV { values :: [[String]] } readCSV :: String -> CSV readCSV = CSV . (splitOn "," <$$> lines) instance Show CSV where  show = unlines . map (intercalate ",") . values ------------------------------------------------------------ -- construction and combination mkColumn, mkRow :: [String] -> CSV (<||>), (<==>) :: CSV -> CSV -> CSV mkColumn lst = CSV $ sequence [lst] mkRow lst = CSV [lst] CSV t1 <||> CSV t2 = CSV $ zipWith (++) t1 t2 CSV t1 <==> CSV t2 = CSV $ t1 ++ t2 ------------------------------------------------------------ -- access and modification via lenses table = lens values (\csv t -> csv {values = t}) row i = table . ix i . traverse col i = table . traverse . ix i item i j = table . ix i . ix j ------------------------------------------------------------ sample = readCSV "C1, C2, C3, C4, C5\n\  \1, 5, 9, 13, 17\n\  \2, 6, 10, 14, 18\n\  \3, 7, 11, 15, 19\n\  \4, 8, 12, 16, 20" 

Examples:

1. Reading from a file

λ> readCSV <$> readFile "example.csv" C1, C2, C3, C4, C5 1, 5, 9, 13, 17 2, 6, 10, 14, 18 3, 7, 11, 15, 19 4, 8, 12, 16, 20 

2. Access and modification

λ> sample ^. item 2 3 "14" λ> sample ^.. row 2 ["2","6","10","14","18"] λ> sample ^.. col 2 ["C3","9","10","11","12"] λ> (item 3 2 .~ "Ok") sample C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,Ok,15,19 4,8,12,16,20 λ> (item 3 2 %~ (show.(^2).read)) sample C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,121,15,19 4,8,12,16,20 λ> (row 4 %~ (show.(^2).read)) sample C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 16,64,144,256,400 λ> (col 4 %~ (++"!")) sample C1,C2,C3,C4,C5! 1,5,9,13,17! 2,6,10,14,18! 3,7,11,15,19! 4,8,12,16,20!

3. Construction and combination

sampleSum = sample <||> (mkRow ["SUM"] <==> mkColumn sums)  where sums = map (show . sum) (read <$$> drop 1 (values sample)) 

λ> sampleSum C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

Icon and Unicon

This version only works in Unicon, but can be easily adapted to work in Icon.

import Utils # To get CSV procedures procedure main(A) f := open(A[1]) | &input i := 1 write(!f) # header line(?) every csv := parseCSV(!f) do { csv[i+:=1] *:= 100 write(encodeCSV(csv)) } end 

Sample run:

->csv csv.dat C1,C2,C3,C4,C5 1,500,9,13,17 2,6,1000,14,18 3,7,11,1500,19 4,8,12,16,2000 -> 

J

Like other languages it is not necessary to use the csv utilities to accomplish this task.

 data=: (','&splitstring);.2 freads 'rc_csv.csv' NB. read and parse data  data=: (<'"spam"') (<2 3)} data NB. amend cell in 3rd row, 4th column (0-indexing)  'rc_outcsv.csv' fwrites~ ;<@(','&joinstring"1) data NB. format and write out amended data 

Using the delimiter-separated-values utilities (of which tables/csv is a special case) will handle more complex csv constructs:

 require 'tables/csv'  data=: makenum readcsv 'rc_csv.csv' NB. read data and convert cells to numeric where possible  data=: (<'spam') (2 3;3 0)} data NB. amend 2 cells  data writecsv 'rc_outcsv.csv' NB. write out amended data. Strings are double-quoted 

Adding a column with the sum of the rows:

 require 'tables/csv'  'hdr data'=: split readcsv 'rc_csv.csv' NB. read data, split the header & data  hdr=: hdr , <'SUM' NB. add title for extra column to header  data=: <"0 (,. +/"1) makenum data NB. convert to numeric, sum rows & append column  (hdr,data) writecsv 'rc_out.csv' 

Tacit version of above:

 sumCSVrows=: writecsv~ (((<'SUM') ,~ {.) , [: (<"0)@(,. +/"1) makenum@}.)@readcsv  'rc_out.csv' sumCSVrows 'rc.csv' 

Java

import java.io.BufferedReader; import java.io.File; import java.io.FileReader; import java.io.FileWriter; import java.io.IOException; import java.util.ArrayList; import java.util.List; 

public class CSV {  public static void main(String[] args) throws IOException {  CSV csv = new CSV("data.csv");  csv.sumAllRows();  csv.write();  }  private final File file;  private List<List<String>> data;  public CSV(File file) throws IOException {  this.file = file;  open();  }  /* convenience constructor */  public CSV(String path) throws IOException {  this(new File(path));  }  public void sumAllRows() {  appendColumn("SUM");  int sum;  int length;  for (int index = 1; index < data.size(); index++) {  sum = sum(data.get(index));  length = data.get(index).size();  data.get(index).set(length - 1, String.valueOf(sum));  }  }  private int sum(List<String> row) {  int sum = 0;  for (int index = 0; index < row.size() - 1; index++)  sum += Integer.parseInt(row.get(index));  return sum;  }  private void appendColumn(String title) {  List<String> titles = data.get(0);  titles.add(title);  /* append an empty cell to each row */  for (int index = 1; index < data.size(); index++)  data.get(index).add("");  }  private void open() throws IOException {  try (BufferedReader reader = new BufferedReader(new FileReader(file))) {  data = new ArrayList<>();  String line;  while ((line = reader.readLine()) != null) {  /* using a limit of -1 will preserve trailing commas */  data.add(new ArrayList<>(List.of(line.split(",", -1))));  }  }  }  public void write() throws IOException {  try (FileWriter writer = new FileWriter(file)) {  String newline = System.lineSeparator();  for (List<String> row : data) {  writer.write(String.join(",", row));  writer.write(newline);  }  writer.flush();  }  } } 

First iteration

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Second iteration

C1,C2,C3,C4,C5,SUM,SUM 1,5,9,13,17,45,90 2,6,10,14,18,50,100 3,7,11,15,19,55,110 4,8,12,16,20,60,120 

Roll Your Own

import java.io.*; import java.awt.Point; import java.util.HashMap; import java.util.Scanner; public class CSV {  private HashMap<Point, String> _map = new HashMap<Point, String>();  private int _cols;  private int _rows;  public void open(File file) throws FileNotFoundException, IOException {  open(file, ',');  }  public void open(File file, char delimiter)  throws FileNotFoundException, IOException {  Scanner scanner = new Scanner(file);  scanner.useDelimiter(Character.toString(delimiter));  clear();  while(scanner.hasNextLine()) {  String[] values = scanner.nextLine().split(Character.toString(delimiter));  int col = 0;  for ( String value: values ) {  _map.put(new Point(col, _rows), value);  _cols = Math.max(_cols, ++col);  }  _rows++;  }  scanner.close();  }  public void save(File file) throws IOException {  save(file, ',');  }  public void save(File file, char delimiter) throws IOException {  FileWriter fw = new FileWriter(file);  BufferedWriter bw = new BufferedWriter(fw);  for (int row = 0; row < _rows; row++) {  for (int col = 0; col < _cols; col++) {  Point key = new Point(col, row);  if (_map.containsKey(key)) {  bw.write(_map.get(key));  }  if ((col + 1) < _cols) {  bw.write(delimiter);  }  }  bw.newLine();  }  bw.flush();  bw.close();  }  public String get(int col, int row) {  String val = "";  Point key = new Point(col, row);  if (_map.containsKey(key)) {  val = _map.get(key);  }  return val;  }  public void put(int col, int row, String value) {  _map.put(new Point(col, row), value);  _cols = Math.max(_cols, col+1);  _rows = Math.max(_rows, row+1);  }  public void clear() {  _map.clear();  _cols = 0;  _rows = 0;  }  public int rows() {  return _rows;  }  public int cols() {  return _cols;  }  public static void main(String[] args) {  try {  CSV csv = new CSV();  csv.open(new File("test_in.csv"));  csv.put(0, 0, "Column0");  csv.put(1, 1, "100");  csv.put(2, 2, "200");  csv.put(3, 3, "300");  csv.put(4, 4, "400");  csv.save(new File("test_out.csv"));  } catch (Exception e) {  }  } } 

Output (in test_out.csv):

Column0,C2,C3,C4,C5 1,100,9,13,17 2,6,200,14,18 3,7,11,300,19 4,8,12,16,400 

Apache commons-csv

Library: Apache commons-csv

Using the Apache commons-csv library.

import java.io.*; import java.util.*; import org.apache.commons.csv.*; public class RCsv {  private static final String NL = System.getProperty("line.separator");  private static final String FILENAME_IR = "data/csvtest_in.csv";  private static final String FILENAME_OR = "data/csvtest_sum.csv";  private static final String COL_NAME_SUM = "SUM, \"integers\""; // demonstrate white space, comma & quote handling  public static void main(String[] args) {  Reader iCvs = null;  Writer oCvs = null;  System.out.println(textFileContentsToString(FILENAME_IR));  try {  iCvs = new BufferedReader(new FileReader(FILENAME_IR));  oCvs = new BufferedWriter(new FileWriter(FILENAME_OR));  processCsv(iCvs, oCvs);  }  catch (IOException ex) {  ex.printStackTrace();  }  finally {  try {  if (iCvs != null) { iCvs.close(); }  if (oCvs != null) { oCvs.close(); }  }  catch (IOException ex) {  ex.printStackTrace();  }  }  System.out.println(textFileContentsToString(FILENAME_OR));  return;  }  public static void processCsv(Reader iCvs, Writer oCvs) throws IOException {  CSVPrinter printer = null;  try {  printer = new CSVPrinter(oCvs, CSVFormat.DEFAULT.withRecordSeparator(NL));  List<String> oCvsHeaders;  List<String> oCvsRecord;  CSVParser records = CSVFormat.DEFAULT.withHeader().parse(iCvs);  Map<String, Integer> irHeader = records.getHeaderMap();  oCvsHeaders = new ArrayList<String>(Arrays.asList((irHeader.keySet()).toArray(new String[0])));  oCvsHeaders.add(COL_NAME_SUM);  printer.printRecord(oCvsHeaders);  for (CSVRecord record : records) {  oCvsRecord = record2list(record, oCvsHeaders);  printer.printRecord(oCvsRecord);  }  }  finally {  if (printer != null) {  printer.close();  }  }  return;  }  private static List<String> record2list(CSVRecord record, List<String> oCvsHeaders) {  List<String> cvsRecord;  Map<String, String> rMap = record.toMap();  long recNo = record.getRecordNumber();  rMap = alterRecord(rMap, recNo);  int sum = 0;  sum = summation(rMap);  rMap.put(COL_NAME_SUM, String.valueOf(sum));  cvsRecord = new ArrayList<String>();  for (String key : oCvsHeaders) {  cvsRecord.add(rMap.get(key));  }  return cvsRecord;  }  private static Map<String, String> alterRecord(Map<String, String> rMap, long recNo) {  int rv;  Random rg = new Random(recNo);  rv = rg.nextInt(50);  String[] ks = rMap.keySet().toArray(new String[0]);  int ix = rg.nextInt(ks.length);  long yv = 0;  String ky = ks[ix];  String xv = rMap.get(ky);  if (xv != null && xv.length() > 0) {  yv = Long.valueOf(xv) + rv;  rMap.put(ks[ix], String.valueOf(yv));  }  return rMap;  }  private static int summation(Map<String, String> rMap) {  int sum = 0;  for (String col : rMap.keySet()) {  String nv = rMap.get(col);  sum += nv != null && nv.length() > 0 ? Integer.valueOf(nv) : 0;  }  return sum;  }  private static String textFileContentsToString(String filename) {  StringBuilder lineOut = new StringBuilder();  Scanner fs = null;  try {  fs = new Scanner(new File(filename));  lineOut.append(filename);  lineOut.append(NL);  while (fs.hasNextLine()) {  String line = fs.nextLine();  lineOut.append(line);  lineOut.append(NL);  }  }  catch (FileNotFoundException ex) {  // TODO Auto-generated catch block  ex.printStackTrace();  }  finally {  if (fs != null) {  fs.close();  }  }  return lineOut.toString();  } } 

Input:

data/csvtest_in.csv

C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 

Output:

data/csvtest_sum.csv

C1,C2,C3,C4,C5,"SUM, ""integers""" 1,5,9,21,17,53 36,6,10,14,18,84 3,7,11,27,19,67 4,8,12,53,20,97 

uniVocity-parsers

Using the uniVocity-parsers library.

public static void main(String[] args) throws IOException {  // 1st, config the CSV reader with line separator  CsvParserSettings settings = new CsvParserSettings();  settings.getFormat().setLineSeparator("\n");  // 2nd, config the CSV reader with row processor attaching the bean definition  BeanListProcessor<Employee> rowProcessor = new BeanListProcessor<Employee>(Employee.class);  settings.setRowProcessor(rowProcessor);  // 3rd, creates a CSV parser with the configs  CsvParser parser = new CsvParser(settings);  // 4th, parse all rows from the CSF file into the list of beans you defined  parser.parse(new FileReader("/examples/employees.csv"));  List<Employee> resolvedBeans = rowProcessor.getBeans();  // 5th, Store, Delete duplicates, Re-arrange the words in specific order  // ......  // 6th, Write the listed of processed employee beans out to a CSV file.  CsvWriterSettings writerSettings = new CsvWriterSettings();  // 6.1 Creates a BeanWriterProcessor that handles annotated fields in the Employee class.  writerSettings.setRowWriterProcessor(new BeanWriterProcessor<Employee>(Employee.class));  // 6.2 persistent the employee beans to a CSV file.  CsvWriter writer = new CsvWriter(new FileWriter("/examples/processed_employees.csv"), writerSettings);  writer.processRecords(resolvedBeans);  writer.writeRows(new ArrayList<List<Object>>());  } 

JavaScript

ES5

As an embedded scripting language which evolved in browsers carefully isolated from local file systems, JavaScript has no standard file IO libraries. The readFile() and writeFile() functions used in this example are written for JS embedded in macOS as 'JavaScript for Automation'. Other embeddings will require other definitions of these functions, and in some JS contexts it will not be possible to write them at all.

(function () {  'use strict';  // splitRegex :: Regex -> String -> [String]  function splitRegex(rgx, s) {  return s.split(rgx);  }  // lines :: String -> [String]  function lines(s) {  return s.split(/[\r\n]/);  }  // unlines :: [String] -> String  function unlines(xs) {  return xs.join('\n');  }  // macOS JavaScript for Automation version of readFile.  // Other JS contexts will need a different definition of this function,  // and some may have no access to the local file system at all.  // readFile :: FilePath -> maybe String  function readFile(strPath) {  var error = $(),  str = ObjC.unwrap(  $.NSString.stringWithContentsOfFileEncodingError(  $(strPath)  .stringByStandardizingPath,  $.NSUTF8StringEncoding,  error  )  );  return error.code ? error.localizedDescription : str;  }  // macOS JavaScript for Automation version of writeFile.  // Other JS contexts will need a different definition of this function,  // and some may have no access to the local file system at all.  // writeFile :: FilePath -> String -> IO ()  function writeFile(strPath, strText) {  $.NSString.alloc.initWithUTF8String(strText)  .writeToFileAtomicallyEncodingError(  $(strPath)  .stringByStandardizingPath, false,  $.NSUTF8StringEncoding, null  );  }  // EXAMPLE - appending a SUM column  var delimCSV = /,\s*/g;  var strSummed = unlines(  lines(readFile('~/csvSample.txt'))  .map(function (x, i) {  var xs = x ? splitRegex(delimCSV, x) : [];  return (xs.length ? xs.concat(  // 'SUM' appended to first line, others summed.  i > 0 ? xs.reduce(  function (a, b) {  return a + parseInt(b, 10);  }, 0  ).toString() : 'SUM'  ) : []).join(',');  })  );  return (  writeFile('~/csvSampleSummed.txt', strSummed),  strSummed  ); })(); 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

Node.js

We can easily manipulate files with Node.js. Below is a toy example to add new columns to an CSV file. Other manipulations, i.e. adding new rows, modifying existing values and so forth, can be accomplished very easily.

const fs = require('fs'); // formats for the data parameter in the function below: {col1: array | function, col2: array | function} function addCols(path, data) {  let csv = fs.readFileSync(path, 'utf8');  csv = csv.split('\n').map(line => line.trim());  let colNames = Object.keys(data);  for (let i = 0; i < colNames.length; i++) {  let c = colNames[i];  if (typeof data[c] === 'function') {  csv = csv.map((line, idx) => idx === 0  ? line + ',' + c  : line + ',' + data[c](line, idx)  );  } else if (Array.isArray(data[c])) {  csv = csv.map((line, idx) => idx === 0  ? line + ',' + c  : line + ',' + data[c][idx - 1]  );  }  }  fs.createWriteStream(path, {  flag: 'w',  defaultEncoding: 'utf8'  }).end(csv.join('\n')); } addCols('test.csv', {  sum: function (line, idx) {  let s = 0;  line = line.split(',').map(d => +(d.trim()));  for (let i = 0; i < line.length; i++) {  s += line[i];  }  return s;  },  id: function(line, idx) {  return idx;  }  }); 

Output:

C1,C2,C3,C4,C5,sum,id 1,5,9,13,17,45,1 2,6,10,14,18,50,2 3,7,11,15,19,55,3 4,8,12,16,20,60,4 

jq

Works with: jq

Works with gojq, the Go implementation of jq.

The following adds a column with header "SUM" as suggested in the task description. It is assumed that the input has a header row. For all other rows, the sum will simply be the last field of each output row.

# Input: a single row # Omit empty rows def read_csv: if length>0 then split(",") else empty end ; # Input: an array # Output: the same array but with an additional summation column. # If .[0] is a number, then it is assumed the entire row consists of numbers or numeric strings; # otherwise, 0 is added def add_sum: (if .[0] | type == "number" then (map(tonumber) | add) else 0 end) as $sum | . + [$sum] ; # `tocsv` is only needed if fields should only be quoted by necessity: def tocsv: map( if type == "string" and test("[,\"\r\n]") then "\"\(.)\"" else . end ) | join(","); ( input | read_csv | . + ["SUM"] | @csv), (inputs | read_csv | add_sum | @csv)

Invocation: jq -Rn -r -f CSV_data_manipulation.jq input.csv

Output:

If jq's @csv builtin is used as shown in the program listing above, then every value will be quoted as shown here:

"C1","C2","C3","C4","C5","SUM" "1","5","9","13","17" "2","6","10","14","18" "3","7","11","15","19" "4","8","12","16","20" 

If the calls to `@csv` are replaced by calls to `tocsv`, then the output would be:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 

Julia

using DataFrames, CSV ifn = "csv_data_manipulation_in.dat" ofn = "csv_data_manipulation_out.dat" df = CSV.read(ifn, DataFrame) df.SUM = sum.(eachrow(df)) CSV.write(ofn, df) 

Output:

$ cat csv_data_manipulation_out.dat C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Kotlin

// version 1.1.3 import java.io.File fun main(args: Array<String>) {  val lines = File("example.csv").readLines().toMutableList()  lines[0] += ",SUM"  for (i in 1 until lines.size) {  lines[i] += "," + lines[i].split(',').sumBy { it.toInt() }  }  val text = lines.joinToString("\n")  File("example2.csv").writeText(text) // write to new file  println(text) // print to console } 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Lingo

---------------------------------------- -- Simplified CSV parser (without escape character support etc.). -- First line is interrepted as header with column names. -- @param {string} csvStr -- @param {string} [sep=","] - single char as string -- @param {string} [eol=RETURN] -- @return {propList} ---------------------------------------- on parseSimpleCSVString (csvStr, sep, eol) if voidP(sep) then sep="," if voidP(eol) then eol = RETURN lines = explode(eol, csvStr) if lines.getLast()="" then lines.deleteAt(lines.count) res = [:] res[#header] = explode(sep, lines[1]) res[#data] = [] cnt = lines.count repeat with i = 2 to cnt res[#data].append(explodeBySingleChar(sep, lines[i])) end repeat return res end ---------------------------------------- -- Simplified CSV creater (without escape character support etc.). -- @param {propList} csvData -- @param {string} [sep=","] -- @param {string} [eol=RETURN] -- @return {string} ---------------------------------------- on createSimpleCSVString (csvData, sep, eol) if voidP(sep) then sep="," if voidP(eol) then eol = RETURN res = "" put implode(sep, csvData[#header])&eol after res cnt = csvData[#data].count repeat with i = 1 to cnt put implode(sep, csvData[#data][i])&eol after res end repeat return res end ---------------------------------------- -- Explodes string into list -- @param {string} delim -- @param {string} str -- @return {list} ---------------------------------------- on explode (delim, str) if delim.length=1 then return explodeBySingleChar(delim, str) l = [] if voidP(str) then return l dl = delim.length repeat while true pos = offset(delim, str) if pos=0 then exit repeat l.add(str.char[1..pos-1]) delete char 1 to pos+dl-1 of str end repeat if pos=0 then pos = 1-dl l.add(str.char[pos+dl..str.length]) return l end ---------------------------------------- -- Explode string into list based on single char delimiter -- (uses Lingo's build-in 'item' support, therefor faster) -- @param {string} delim -- @param {string} str -- @return {list} ---------------------------------------- on explodeBySingleChar (delim, str) l = [] if voidP(str) then return l od = _player.itemDelimiter _player.itemDelimiter = delim cnt = str.item.count repeat with i = 1 to cnt l.add(str.item[i]) end repeat _player.itemDelimiter = od return l end ---------------------------------------- -- Implodes list into string -- @param {string} delim -- @param {list} l -- @return {string} ---------------------------------------- on implode (delim, l) str = "" cnt = l.count repeat with i = 1 to cnt put l[i]&delim after str end repeat delete char (str.length-delim.length+1) to str.length of str return str end

sep = "," eol = numtochar(10) -- load CSV string from file fn = _movie.path & "file.csv" fp = xtra("fileIO").new() fp.openFile(fn, 1) csvStr = fp.readFile() fp.closeFile() -- parse CSV string into propList csvData = parseSimpleCSVString(csvStr, sep, eol) -- add SUM column csvData[#header].append("SUM") repeat with row in csvData[#data] sum = 0 repeat with cell in row sum = sum+integer(cell) end repeat row.append(sum) end repeat -- create CSV string from updated propList csvString = createSimpleCSVString(csvData, sep, eol) -- save CSV string to file fn = _movie.path & "file.csv" fp.openFile(fn, 2) if not fp.status() then fp.delete() fp.createFile(fn) fp.openFile(fn, 2) fp.writeString(csvString) fp.closeFile() -- show the CSV string put csvString -- "C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 "

Logo

Works with: UCB Logo version 6.2.4

UCBLogo has no built-in support for generic CSV files.

to csv.data.manipulation :in :out local [header line list sum] openread :in setread :in openwrite :out setwrite :out make "header readword print word :header ",SUM while [not eofp] [ make "line readword make "list parse map [ifelse equalp ? ", ["\ ] [?]] :line make "sum apply "sum :list print (word :line "\, :sum) ] close :in setread [] close :out setwrite [] end

csv.data.manipulation "data.csv "output.csv

Output:

Contents of output.csv C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Lua

Simple

-- Lua has no built in methods to handle csv files. -- it does have string.gmatch, which we use to global.match whatever isn't a comma print(io.read"l" .. ",SUM") for line in io.lines() do  local sum = 0  for field in line:gmatch"[^,]+" do  sum = sum + field  end  print(line .. "," .. sum) end 

This does as the task asks. opens a file, saves the record into a table and rewrites the file

local csv={} -- read csv file, save records and fields into table for line in io.lines('file.csv') do  local fields = {}  for field in line:gmatch"[^,]+" do  table.insert(fields, tonumber(field) or field)  end  table.insert(csv, fields) end -- change csv values table.insert(csv[1], 'SUM') for i=2,#csv do  local sum=0  for _, val in ipairs(csv[i]) do  sum = sum + val  end  table.insert(csv[i], sum) end -- Save local fileHandler = io.open('file.csv', 'w') for NR, fields in ipairs(csv) do  fileHandler:write(table.concat(fields,","), "\n") end 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

M2000 Interpreter

Locale 1032 Module Checkit {  Function Sum {  DECIMAL c=0  while not empty {  c+=number  }  =c  }  Document CSV$ = {C1,C2,C3,C4,C5  1,5,9,13,17  2,6,10.3,14,18  3,7,11,15,19  4,8,12,16,20  }  \\ export encoded to UTF-16LE  Save.Doc CSV$, "data1.csv", 0  \\ Open Wide read UTF-16LE  \\ use standard colum sep. as ","  \\ use standard decimal point char  \\ use standard (non json style string)  \\ True = use bare strings (without "")  Input With "","",,true  Write With chr$(9),locale$(0xE),,true  \\ for excel csv use Input With chr$(9),,true, true  Open "data1.csv" for Wide Input as #M  Open "data2.csv" for Wide Output as #M1  Input #M, h1$, h2$, h3$, h4$, h5$  Write #M1, h1$, h2$, h3$, h4$, h5$, "SUM"  Print h1$, h2$, h3$, h4$, h5$    While not Eof(#M) {  Input #M, A1, A2, A3, A4, A5  Write #M1, A1, A2, A3, A4, A5, Sum(A1, A2, A3, A4, A5)  Print A1, A2, A3, A4, A5  }  close #M1  Close #M  Input With chr$(9),locale$(0xE),,true  Open "data2.csv" for Wide Input as #M  Input #M, h1$, h2$, h3$, h4$, h5$, h6$  Print h1$, h2$, h3$, h4$, h5$, h6$  While not Eof(#M) {  Input #M, A1, A2, A3, A4, A5, Sum  Print A1, A2, A3, A4, A5, Sum  }  Close #M  Win "Excel", dir$+"data2.csv" } Checkit 

Maple

Entire script:

M := ImportMatrix("data.csv",source=csv); M(..,6) := < "Total", seq( add(M[i,j], j=1..5), i=2..5 ) >; ExportMatrix("data_out.csv",M,target=csv); 

Running this script showing interactive results:

> M := ImportMatrix("data.csv",source=csv);  ["C1" "C2" "C3" "C4" "C5"]  [ ]  [ 1 5 9 13 17 ]  [ ]  M := [ 2 6 10 14 18 ]  [ ]  [ 3 7 11 15 19 ]  [ ]  [ 4 8 12 16 20 ] > M(..,6) := < "Total", seq( add(M[i,j], j=1..5), i=2..5 ) >;  ["C1" "C2" "C3" "C4" "C5" "Total"]  [ ]  [ 1 5 9 13 17 45 ]  [ ]  M := [ 2 6 10 14 18 50 ]  [ ]  [ 3 7 11 15 19 55 ]  [ ]  [ 4 8 12 16 20 60 ] > ExportMatrix("data_out.csv",M,target=csv);  96 

Mathematica / Wolfram Language

Mathematica's Import and Export functions support CSV files.

iCSV=Import["test.csv"] ->{{"C1","C2","C3","C4","C5"},{1,5,9,13,17},{2,6,10,14,18},{3,7,11,15,19},{4,8,12,16,20}} iCSV = Transpose@  Append[Transpose[iCSV], Join[{"Sum"}, Total /@ Drop[iCSV, 1]]]; iCSV // MatrixForm Export["test.csv",iCSV]; 

Output:

(C1 C2 C3 C4 C5 Sum 1 5 9 13 17 45 2 6 10 14 18 50 3 7 11 15 19 55 4 8 12 16 20 60 )

MATLAB / Octave

Using file manipulation

filename='data.csv'; fid = fopen(filename); header = fgetl(fid); fclose(fid);  X = dlmread(filename,',',1,0); fid = fopen('data.out.csv','w+'); fprintf(fid,'%s,sum\n',header); for k=1:size(X,1),  fprintf(fid,"%i,",X(k,:));  fprintf(fid,"%i\n",sum(X(k,:))); end; fclose(fid); 

Using table

filename='data.csv'; data = readtable(filename); data.SUM = sum([data{:,:}],2); writetable(data,filename); 

Nanoquery

Nanoquery was created to parse and manipulate data files, with CSV being the first targeted format. As a result, it has a number of operators for retrieving data from a CSV file, including the record operator '#', the column operator '@', and the lookup operator '~'

def sum(record) sum = 0 for i in range(1, len(record) - 1) sum = sum + int(record ~ i) end for return sum end def open "file.csv" add "SUM" for i in range($dbsize, 1) (i ~ @"SUM") = sum(#i) end for write

NetRexx

Translation of: Java

Library: Apache commons-csv

Using the Apache commons-csv library.

/* NetRexx */ options replace format comments java crossref symbols import org.apache.commons.csv. -- ============================================================================= class RCsv public final properties private constant  NL = String System.getProperty("line.separator")  COL_NAME_SUM = String 'SUM, "integers"'  CSV_IFILE = 'data/csvtest_in.csv'  CSV_OFILE = 'data/csvtest_sumRexx.csv' -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ method main(args = String[]) public static  Arg = Rexx(args)  iCvs = Reader null  oCvs = Writer null  parse arg ifile ofile .  if ifile = '', ifile = '.' then ifile = CSV_IFILE  if ofile = '', ofile = '.' then ofile = CSV_OFILE  say textFileContentsToString(ifile)  do  iCvs = BufferedReader(FileReader(ifile))  oCvs = BufferedWriter(FileWriter(ofile))  processCsv(iCvs, oCvs);  catch ex = IOException  ex.printStackTrace();  finally  do  if iCvs \= null then iCvs.close()  if oCvs \= null then oCvs.close()  catch ex = IOException  ex.printStackTrace()  end  end  say textFileContentsToString(ofile)  return -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ method processCsv(iCvs = Reader, oCvs = Writer) public static binary signals IOException  printer = CSVPrinter null  do  printer = CSVPrinter(oCvs, CSVFormat.DEFAULT.withRecordSeparator(NL))  oCvsHeaders = java.util.List  oCvsRecord = java.util.List  records = CSVFormat.DEFAULT.withHeader(String[0]).parse(iCvs)  irHeader = records.getHeaderMap()  oCvsHeaders = ArrayList(Arrays.asList((irHeader.keySet()).toArray(String[0])))  oCvsHeaders.add(COL_NAME_SUM)  printer.printRecord(oCvsHeaders)  recordIterator = records.iterator()  record = CSVRecord  loop while recordIterator.hasNext()  record = CSVRecord recordIterator.next()  oCvsRecord = record2list(record, oCvsHeaders)  printer.printRecord(oCvsRecord)  end  finally  if printer \= null then printer.close()  end  return -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ method record2list(record = CSVRecord, oCvsHeaders = java.util.List) private static binary returns java.util.List  cvsRecord = java.util.List  rMap = record.toMap()  recNo = record.getRecordNumber()  rMap = alterRecord(rMap, recNo)  sum = summation(record.iterator())  rMap.put(COL_NAME_SUM, sum)  cvsRecord = ArrayList()  loop ci = 0 to oCvsHeaders.size() - 1  key = oCvsHeaders.get(ci)  cvsRecord.add(rMap.get(key))  end ci  return cvsRecord -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ method alterRecord(rMap = Map, recNo = long) private static binary returns Map  rv = int  rg = Random(recNo)  rv = rg.nextInt(50)  ks = rMap.keySet().toArray(String[0])  ix = rg.nextInt(ks.length)  yv = long 0  ky = ks[ix];  xv = String rMap.get(ky)  if xv \= null & xv.length() > 0 then do  yv = Long.valueOf(xv).longValue() + rv  rMap.put(ks[ix], String.valueOf(yv))  end  return rMap -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ method summation(iColumn = Iterator) private static  sum = 0  loop while iColumn.hasNext()  nv = Rexx(String iColumn.next())  if nv = null, nv.length() = 0, \nv.datatype('n') then nv = 0  sum = sum + nv  end  return sum -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ method textFileContentsToString(filename) private static  lineOut = ''  fs = Scanner null  do  fs = Scanner(File(filename))  lineOut = lineout || filename || NL  loop while fs.hasNextLine()  line = fs.nextLine()  lineOut = lineout || line || NL  end  catch ex = FileNotFoundException  ex.printStackTrace()  finally  if fs \= null then fs.close()  end  return lineOut 

Input:

data/csvtest_in.csv

C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 

Output:

data/csvtest_sumRexx.csv

C1,C2,C3,C4,C5,"SUM, ""integers""" 1,5,9,21,17,45 36,6,10,14,18,50 3,7,11,27,19,55 4,8,12,53,20,60 

Nim

Nim's standard library contains a robust CSV parser, but for this simple document that's not necessary.

import strutils, streams let  csv = newFileStream("data.csv", fmRead)  outf = newFileStream("data-out.csv", fmWrite) var lineNumber = 1 while true:  if atEnd(csv):  break  var line = readLine(csv)  if lineNumber == 1:  line.add(",SUM")  else:  var sum = 0  for n in split(line, ","):  sum += parseInt(n)  line.add(",")  line.add($sum)    outf.writeLine(line)  inc lineNumber 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Nu

Works with: Nushell version 0.103

open 'test_in.csv' | each { |row| let sum = ($row | values | math sum); $row | insert Sum $sum }

Output:

╭───┬────┬────┬────┬────┬────┬─────╮ │ # │ C1 │ C2 │ C3 │ C4 │ C5 │ Sum │ ├───┼────┼────┼────┼────┼────┼─────┤ │ 0 │ 1 │ 5 │ 9 │ 13 │ 17 │ 45 │ │ 1 │ 2 │ 6 │ 10 │ 14 │ 18 │ 50 │ │ 2 │ 3 │ 7 │ 11 │ 15 │ 19 │ 55 │ │ 3 │ 4 │ 8 │ 12 │ 16 │ 20 │ 60 │ ╰───┴────┴────┴────┴────┴────┴─────╯ 

Here is another way.

open 'test_in.csv' | upsert Sum {|row| $row | values | math sum }

Objeck

Objeck has a CSV parser with built-in functions.

use System.IO.File; use Data.CSV; class CsvData { function : Main(args : String[]) ~ Nil { file_out : FileWriter; leaving { if(file_out <> Nil) { file_out->Close(); }; }; if(args->Size() > 0) { file_name := args[0]; csv := CsvTable->New(FileReader->ReadFile(file_name)); if(csv->IsParsed()) { csv->AppendColumn("SUM"); for(i := 1; i < csv->Size(); i += 1;) { row := csv->Get(i); sum := row->Sum(row->Size() - 1); row->Set("SUM", sum->ToString()); }; }; output := csv->ToString(); output->PrintLine(); file_out := FileWriter->New("new-csv.csv"); file_out->WriteString(output); }; } }

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

OCaml

Using the csv module available in Opam:

let list_add_last this lst = List.rev (this :: (List.rev lst)) let () = let csv = Csv.load "data.csv" in let fields, data = (List.hd csv, List.tl csv) in let fields = list_add_last "SUM" fields in let sums = List.map (fun row -> let tot = List.fold_left (fun tot this -> tot + int_of_string this) 0 row in list_add_last (string_of_int tot) row ) data in Csv.output_all (Csv.to_channel stdout) (fields :: sums) 

Output:

$ opam install csv $ ocaml -I $(ocamlfind query csv) csv.cma rc_csv.ml C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

PARI/GP

PARI/GP has no built-in support for strings or/and generic CSV files.
Note: stok(str,d) - Tokenize a string - can be found here on RC.

Works with: PARI/GP version 2.7.4 and above

\\ CSV data manipulation \\ 10/24/16 aev \\ processCsv(fn): Where fn is an input path and file name (but no actual extension). processCsv(fn)= {my(F, ifn=Str(fn,".csv"), ofn=Str(fn,"r.csv"), cn=",SUM",nf,nc,Vr,svr); if(fn=="", return(-1)); F=readstr(ifn); nf=#F; F[1] = Str(F[1],cn); for(i=2, nf, Vr=stok(F[i],","); if(i==2,nc=#Vr); svr=sum(k=1,nc,eval(Vr[k])); F[i] = Str(F[i],",",svr); );\\fend i for(j=1, nf, write(ofn,F[j])) } \\ Testing: processCsv("c:\\pariData\\test");

Input:

data/test.csv file

C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20

Output:

data/testr.csv file

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

Pascal

Works with: Free Pascal

In Pascal you can use TStringList CommaText property to work with CSV.

program CSV_Data_Manipulation; uses Classes, SysUtils; var s: string;  ts: tStringList;  inFile,  outFile: Text;  Sum: integer;  Number: string; begin  Assign(inFile,'input.csv');  Reset(inFile);  Assign(outFile,'result.csv');  Rewrite(outFile);  ts:=tStringList.Create;  ts.StrictDelimiter:=True;   // Handle the header  ReadLn(inFile,s); // Read a line from input file  ts.CommaText:=s; // Split it to lines  ts.Add('SUM'); // Add a line  WriteLn(outFile,ts.CommaText); // Reassemble it with comma as delimiter  // Handle the data  while not eof(inFile) do  begin  ReadLn(inFile,s);  ts.CommaText:=s;  Sum:=0;  for Number in ts do  Sum+=StrToInt(Number);  ts.Add('%D',[Sum]);  writeln(outFile, ts.CommaText);  end;  Close(outFile);  Close(inFile);  ts.Free; end. 

Input:

input.csv file

C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20

Output:

result.csv file

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

PascalABC.NET

begin  var lines := ReadLines('data.csv').Select((line,i) -> begin  if i = 0 then   Result := line + ',SUM'  else Result := line + ',' + line.Split(',').Sum(x -> x.ToInteger);  end);  WriteLines('outdata.csv',lines);  lines.PrintLines; end. 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Perl

For simple files, you can use split:

#!/usr/bin/perl use warnings; use strict; use List::Util 'sum'; my @header = split /,/, <>; # Remove the newline. chomp $header[-1]; my %column_number; for my $i (0 .. $#header) {  $column_number{$header[$i]} = $i; } my @rows = map [ split /,/ ], <>; chomp $_->[-1] for @rows; # Add 1 to the numbers in the 2nd column: $_->[1]++ for @rows; # Add C1 into C4: $_->[ $column_number{C4} ] += $_->[ $column_number{C1} ] for @rows; # Add sums to both rows and columns. push @header, 'Sum'; $column_number{Sum} = $#header; push @$_, sum(@$_) for @rows; push @rows, [  map {  my $col = $_;  sum(map $_->[ $column_number{$col} ], @rows);  } @header  ]; # Print the output. print join(',' => @header), "\n"; print join(',' => @$_), "\n" for @rows; 

However, if the CSV can contain quoted texts (the type MS Excel produces), you should rather use the Text::CSV. Only reading the data and printing the result is different:

#!/usr/bin/perl use warnings; use strict; use Text::CSV; use List::Util 'sum'; my $csv = 'Text::CSV'->new({eol => "\n"})  or die 'Cannot use CSV: ' . 'Text::CSV'->error_diag; my $file = shift; my @rows; open my $FH, '<', $file or die "Cannot open $file: $!"; my @header = @{ $csv->getline($FH) }; while (my $row = $csv->getline($FH)) {  push @rows, $row; } $csv->eof or $csv->error_diag; # # The processing is the same. # # Print the output. $csv->print(*STDOUT, $_) for \@header, @rows; 

Phix

Note that error checking is omitted, in particular for scanf, and obviously we use an inline constant for pwa/p2js, but normal file i/o for desktop/Phix.

with javascript_semantics constant tcsv = """ C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 """ sequence lines = iff(platform()=JS?split(tcsv,"\n"):get_text("test.csv",GT_LF_STRIPPED)) for i=1 to length(lines) do lines[i] = split(trim(lines[i]),',') end for lines[1] = join(lines[1],',')&",SUM" for i=2 to length(lines) do sequence s = deep_copy(lines[i]), t = {} for j=1 to length(s) do t &= scanf(s[j],"%d")[1][1] end for -- s[rand(length(s))] = rand(100) -- (if you like) t &= sum(t) lines[i] = sprintf("%d,%d,%d,%d,%d,%d",t) end for lines = join(lines,'\n') if platform()!=JS then integer fn = open("out.csv","w") puts(fn,lines) close(fn) end if puts(1,lines) 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

PHP

<?php // fputcsv() requires at least PHP 5.1.0 // file "data_in.csv" holds input data // the result is saved in "data_out.csv" // this version has no error-checking $handle = fopen('data_in.csv','r'); $handle_output = fopen('data_out.csv','w'); $row = 0; $arr = array(); while ($line = fgetcsv($handle)) { $arr[] = $line; } //change some data to zeroes  $arr[1][0] = 0; // 1,5,9,13,17 => 0,5,9,13,17 $arr[2][1] = 0; // 2,6,10,14,18 => 2,0,10,14,18 //add sum and write file foreach ($arr as $line) { if ($row==0) { array_push($line,"SUM"); } else { array_push($line,array_sum($line)); } fputcsv($handle_output, $line); $row++; } ?> 

PicoLisp

(in "data.csv" (prinl (line) "," "SUM") (while (split (line) ",") (prinl (glue "," @) "," (sum format @)) ) )

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

PL/I

*process source xref attributes or(!); csv: Proc Options(Main); /********************************************************************* * 19.10.2013 Walter Pachl * 'erase d:\csv.out' * 'set dd:in=d:\csv.in,recsize(300)' * 'set dd:out=d:\csv.out,recsize(300)' * Say 'Input:' * 'type csv.in' * 'csv' * Say ' ' * Say 'Output:' * 'type csv.out' *********************************************************************/ Dcl in Record Input; Dcl out Record Output; On Endfile(in) Goto part2; Dcl (INDEX,LEFT,SUBSTR,TRIM) Builtin; Dcl (i,j,p,m,n) Bin Fixed(31) Init(0); Dcl s Char(100) Var; Dcl iline(10) Char(100) Var; Dcl a(20,20) Char(10) Var; Dcl sum Dec Fixed(3); Dcl oline Char(100) Var; Do i=1 By 1; Read File(in) Into(s); iline(i)=s; m=i; Call sep((s)); End; part2: Do i=1 To m; If i=1 Then oline=iline(1)!!','!!'SUM'; Else Do; sum=0; Do j=1 To n; sum=sum+a(i,j); End; oline=iline(i)!!','!!trim(sum); End; Write File(out) From(oline); End; sep: Procedure(line); Dcl line Char(*) Var; loop: Do j=1 By 1; p=index(line,','); If p>0 Then Do; a(i,j)=left(line,p-1); line=substr(line,p+1); End; Else Do; a(i,j)=line; Leave loop; End; End; n=j; End; End;

Input:

C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

PowerShell

## Create a CSV file @" C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 "@ -split "`r`n" | Out-File -FilePath .\Temp.csv -Force ## Import each line of the CSV file into an array of PowerShell objects $records = Import-Csv -Path .\Temp.csv ## Sum the values of the properties of each object $sums = $records | ForEach-Object { [int]$sum = 0 foreach ($field in $_.PSObject.Properties.Name) { $sum += $_.$field } $sum } ## Add a column (Sum) and its value to each object in the array $records = for ($i = 0; $i -lt $sums.Count; $i++) { $records[$i] | Select-Object *,@{Name='Sum';Expression={$sums[$i]}} } ## Export the array of modified objects to the CSV file $records | Export-Csv -Path .\Temp.csv -Force ## Display the object in tabular form $records | Format-Table -AutoSize 

Output:

 C1 C2 C3 C4 C5 Sum -- -- -- -- -- --- 1 5 9 13 17 45 2 6 10 14 18 50 3 7 11 15 19 55 4 8 12 16 20 60 

Prolog

Add a "SUM" column. Output is as for Lua and is not repeated here.

The following uses SWI-Prolog's csv_read_file_row/3 in order to demonstrate that it is not necessary to read more than a line at a time.

test :- augment('test.csv', 'test.out.csv'). % augment( +InFileName, +OutFileName)  augment(InFile, OutFile) :- open(OutFile, write, OutStream), ( ( csv_read_file_row(InFile, Row, [line(Line)]), % Row is of the form row( Item1, Item2, ....). addrow(Row, Out), csv_write_stream(OutStream, [Out], []), fail ) ; close(OutStream) ). % If the first item in a row is an integer, then append the sum; % otherwise append 'SUM': addrow( Term, NewTerm ) :- Term =.. [F | List], List = [X|_], (integer(X) -> sum_list(List, Sum) ; Sum = 'SUM'), append(List, [Sum], NewList), NewTerm =.. [F | NewList]. 

PureBasic

EnableExplicit #Separator$ = "," Define fInput$ = "input.csv"; insert path to input file Define fOutput$ = "output.csv"; insert path to output file  Define header$, row$, field$ Define nbColumns, sum, i If OpenConsole()  If Not ReadFile(0, fInput$)  PrintN("Error opening input file")  Goto Finish  EndIf    If Not CreateFile(1, fOutput$)  PrintN("Error creating output file")  CloseFile(0)  Goto Finish   EndIf    ; Read header row  header$ = ReadString(0)  ; Determine number of columns  nbColumns = CountString(header$, ",") + 1  ; Change header row  header$ + #Separator$ + "SUM"  ; Write to output file  WriteStringN(1, header$)    ; Read remaining rows, process and write to output file  While Not Eof(0)  row$ = ReadString(0)  sum = 0  For i = 1 To nbColumns  field$ = StringField(row$, i, #Separator$)  sum + Val(field$)  Next  row$ + #Separator$ + sum  WriteStringN(1, row$)  Wend    CloseFile(0)  CloseFile(1)    Finish:  PrintN("")  PrintN("Press any key to close the console")  Repeat: Delay(10) : Until Inkey() <> ""  CloseConsole() EndIf 

Output (in output.csv):

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Python

Using fileinput

Note that the csv module is not required for such a simple and regular CSV file. Here overwriting is done in place.

import fileinput changerow, changecolumn, changevalue = 2, 4, '"Spam"' with fileinput.input('csv_data_manipulation.csv', inplace=True) as f: for line in f: if fileinput.filelineno() == changerow: fields = line.rstrip().split(',') fields[changecolumn-1] = changevalue line = ','.join(fields) + '\n' print(line, end='') 

Output:

After this the data file csv_data_manipulation.csv gets changed from that of the task to:

C1,C2,C3,C4,C5 1,5,9,"Spam",17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20

Using csv, pathlib and tempfile

In this example overwriting is performed not in place but by using tempfile library for creating a temporary file and pathlib library for overwriting the initial file. csv module is used to allow easier manipulation with delimiters.

import csv from pathlib import Path from tempfile import NamedTemporaryFile filepath = Path('data.csv') temp_file = NamedTemporaryFile('w', newline='', delete=False) with filepath.open() as csv_file, temp_file: reader = csv.reader(csv_file) writer = csv.writer(temp_file) header = next(reader) writer.writerow(header + ['SUM']) for row in reader: row_sum = sum(map(int, row)) writer.writerow(row + [row_sum]) temp_file_path = Path(temp_file.name) temp_file_path.replace(filepath) 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

Using pandas

import pandas as pd filepath = 'data.csv' df = pd.read_csv(filepath) rows_sums = df.sum(axis=1) df['SUM'] = rows_sums df.to_csv(filepath, index=False) 

Using polars

import polars as pl filepath = "data.csv" ( pl.scan_csv(filepath) .with_columns(pl.sum_horizontal(pl.all()).alias("SUM")) .sink_csv(filepath) ) 

Q

t:("IIIII";enlist ",")0: `:input.csv / Read CSV file input.csv into table t t:update SUM:sum value flip t from t / Add SUM column to t `:output.csv 0: csv 0: t / Write updated table as CSV to output.csv 

R

df <- read.csv(textConnection( "C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20")) df$sum <- rowSums(df) write.csv(df,row.names = FALSE) 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

This output can also be saved to a file:

 write.csv(df, file = "foo.csv",row.names = FALSE) 

Racket

#lang racket (require (planet neil/csv:1:=7) net/url) (define make-reader  (make-csv-reader-maker  '((separator-chars #\,)  (strip-leading-whitespace? . #t)  (strip-trailing-whitespace? . #t)))) (define (all-rows port)  (define read-row (make-reader port))  (define head (append (read-row) '("SUM")))  (define rows (for/list ([row (in-producer read-row '())])  (define xs (map string->number row))  (append row (list (~a (apply + xs))))))  (define (->string row) (string-join row "," #:after-last "\n"))  (string-append* (map ->string (cons head rows)))) 

Example:

(define csv-file   "C1, C2, C3, C4, C5  1, 5, 9, 13, 17  2, 6, 10, 14, 18  3, 7, 11, 15, 19  4, 8, 12, 16, 20") (display (all-rows (open-input-string csv-file))) 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Raku

(formerly Perl 6) On the face of it this task is pretty simple. Especially given the sample CSV file and the total lack of specification of what changes to make to the file. Something like this would suffice.

my $csvfile = './whatever.csv'; my $fh = open($csvfile, :r); my @header = $fh.get.split(','); my @csv = map {[.split(',')]>>.Num}, $fh.lines; close $fh;  my $out = open($csvfile, :w); $out.say((@header,'SUM').join(',')); $out.say((@$_, [+] @$_).join(',')) for @csv; close $out; 

But if your CSV file is at all complex you are better off using a CSV parsing module. (Complex meaning fields that contain commas, quotes, newlines, etc.)

use Text::CSV; my $csvfile = './whatever.csv'; my @csv = Text::CSV.parse-file($csvfile); # modify(@csv); # do whatever; csv-write-file( @csv, :file($csvfile) ); 

Rebol

Rebol [ title: "Rosetta code: CSV data manipulation" file: %CSV_data_manipulation.r3 url: https://rosettacode.org/wiki/CSV_data_manipulation ] write %test.csv {C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20} ;; create a sample CSV file on disk probe-csv: func [data][ foreach row data [probe row] ;; helper: print each parsed CSV row using probe ] import csv ;; enable CSV codec for load/save of CSV files data: load %test.csv ;; load CSV into a block of rows (row 1 is header) print "^/Original:" probe-csv data ;; show original data ;; Add SUM column: append data/1 "SUM" ;; extend header with a new column "SUM" foreach row next data [ ;; iterate over data rows (skip header) sum: 0 forall row [ ;; walk each cell in the row in place change row to integer! row/1 ;; convert current cell to integer (mutates row) sum: sum + row/1 ;; accumulate the running total ] append row sum ;; append the computed sum at the end of the row ] print "^/Modified:" probe-csv data ;; show data after adding the SUM column save %new.csv data ;; save the modified data to a new CSV file print "^/Reloaded:" probe-csv load %new.csv ;; reload and display to verify persistence 

Output:

Original: ["C1" "C2" "C3" "C4" "C5"] ["1" "5" "9" "13" "17"] ["2" "6" "10" "14" "18"] ["3" "7" "11" "15" "19"] ["4" "8" "12" "16" "20"] Modified: ["C1" "C2" "C3" "C4" "C5" "SUM"] [1 5 9 13 17 45] [2 6 10 14 18 50] [3 7 11 15 19 55] [4 8 12 16 20 60] Reloaded: ["C1" "C2" "C3" "C4" "C5" "SUM"] ["1" "5" "9" "13" "17" "45"] ["2" "6" "10" "14" "18" "50"] ["3" "7" "11" "15" "19" "55"] ["4" "8" "12" "16" "20" "60"] 

Red

>>filein: read/lines %file.csv >>data: copy [] >>foreach item filein [append/only data split item ","] ; [["C1" "C2" "C3" "C4" "C5"] ["1" "5" "9" "13" "17"] ["2" "6" "10" "14" "18"] ["3" "7" "11" "15" "19"]["4" "8" "12" "16" "20"]] 

>>forall data [either (index? data) = 1[ append data/1 "SUM" ][ append data/1 to string! (to integer! data/1/1) + (to integer! data/1/2) + (to integer! data/1/3) + (to integer! data/1/4) + (to integer! data/1/5) ]] 

>>foreach item data [append item/6 "^/" repeat c 5 [append item/:c ","]] >> print data C1, C2, C3, C4, C5, SUM 1, 5, 9, 13, 17, 45 2, 6, 10, 14, 18, 50 3, 7, 11, 15, 19, 55 4, 8, 12, 16, 20, 60 >>write fileout.csv form data 

REXX

version 1

/* REXX *************************************************************** * extend in.csv to add a column containing the sum of the lines' elems * 21.06.2013 Walter Pachl **********************************************************************/ csv='in.csv' Do i=1 By 1 While lines(csv)>0  l=linein(csv)  If i=1 Then  l.i=l',SUM'  Else Do  ol=l  sum=0  Do While l<>''  Parse Var l e ',' l  sum=sum+e  End  l.i=ol','sum  End  End Call lineout csv 'erase' csv Do i=1 To i-1  Call lineout csv,l.i  End 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

version 2

This REXX version has no need to use an operating system command to ERASE the (input) file,   it uses instead
an idiomatic REXX method to write to the input file   (starting at record one).

Also supported is the ability to specify the fileID of the data file to be specified.

/*REXX program reads a CSV file & appends a SUM column (which is the sum of all columns)*/ parse arg iFID . /*obtain optional argument from the CL*/ if iFID=='' | iFID=="," then iFID= 'CSV_SUM.DAT' /*Not specified? Then use the default*/ call linein iFID,1,0 /*position the input file to line one.*/  /* [↑] only needed if pgm is nested. */  do rec=1 while lines(iFID)\==0 /*read the input file (all records). */  x= linein(iFid); y= translate(x, , ',') /*read a rec; change commas to blanks.*/  $= 0 /*initial the sum to zero. */  do j=1 for words(y); _= word(y, j) /*get a CSV value. */  if datatype(_, 'N') then $= $ + _ /*Numeric? Add to $.*/  else $= 'SUM' /*Not? Append "SUM".*/  end /*j*/  @.rec = x','$ /*append the sum to the record. */  end /*rec*/ /*Note: at EOF, REC ≡ # of records+1.*/ say rec-1 ' records read from: ' iFID /* [↓] this elides the need for ERASE*/ call lineout iFID,@.1,1 /*set file ptr to 1st rec., write hdr.*/  do k=2 for rec-2 /*process all the records just read. */  call lineout iFID,@.k /*write the new CSV record (has SUM). */  end /*k*/ /*stick a fork in it, we're all done.*/ 

output   to the console:

5 records read from: CSV_SUM.DAT 

output   to the file is identical to the 1^st REXX version.

Ring

# Project : CSV data manipulation load "stdlib.ring" fnin = "input.csv" fnout = "output.csv" fpin = fopen(fnin,"r") fpout = fopen(fnout,"r") csv = read(fnin) nr = 0 csvstr = "" while not feof(fpin) sum = 0 nr = nr + 1 line = readline(fpin) if nr = 1 line = substr(line,nl,"") line = line + ",SUM" csvstr = csvstr + line + windowsnl() else csvarr = split(line,",") for n = 1 to len(csvarr) sum = sum + csvarr[n] next line = substr(line,nl,"") line = line + "," + string(sum) csvstr = csvstr + line + windowsnl() ok end write(fnout,csvstr) csvend = read(fnout) fclose(fpin) fclose(fpout) see csvend + nl

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Ruby

require 'csv' # read: ar = CSV.table("test.csv").to_a #table method assumes headers and converts numbers if possible. # manipulate: ar.first << "SUM" ar[1..-1].each{|row| row << row.sum} # write: CSV.open("out.csv", 'w') do |csv|  ar.each{|line| csv << line} end 

Output:

c1,c2,c3,c4,c5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

Run BASIC

csv$ = "C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 " print csv$ dim csvData$(5,5) for r = 1 to 5 a$ = word$(csv$,r,chr$(13)) for c = 1 to 5 csvData$(r,c) = word$(a$,c,",") next c next r [loop] input "Row to change:";r input "Col to change;";c if r > 5 or c > 5 then print "Row ";r;" or Col ";c;" is greater than 5" goto [loop] end if input "Change Row ";r;" Col ";c;" from ";csvData$(r,c);" to ";d$ csvData$(r,c) = d$ for r = 1 to 5 for c = 1 to 5 print cma$;csvData$(r,c); cma$ = "," next c cma$ = "" print next r

C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 Row to change:?4 Col to change;?4 Change Row 4 Col 4 from 15 to ?99 C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,99,19 4,8,12,16,20

Rust

Library: BurntSushi's csv crate

use std::error::Error; use std::num::ParseIntError; use csv::{Reader, Writer}; fn main() -> Result<(), Box<dyn Error>> {  let mut reader = Reader::from_path("data.csv")?;  let mut writer = Writer::from_path("output.csv")?;  // headers() returns an immutable reference, so clone() before appending  let mut headers = reader.headers()?.clone();  headers.push_field("SUM");  writer.write_record(headers.iter())?;  for row in reader.records() {  let mut row = row?;  // `sum` needs the type annotation so that `parse::<i64>` knows what error type to return  let sum: Result<_, ParseIntError> = row.iter().try_fold(0, |accum, s| {  Ok(accum + s.parse::<i64>()?)  });  row.push_field(&sum?.to_string());  writer.write_record(row.iter())?;  }  writer.flush()?;  Ok(()) } 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

SAS

data _null_; infile datalines dlm="," firstobs=2; file "output.csv" dlm=","; input c1-c5; if _n_=1 then put "C1,C2,C3,C4,C5,Sum"; s=sum(of c1-c5); put c1-c5 s; datalines; C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 ; run; 

Scala

Library: Scala

import scala.io.Source object parseCSV extends App {  val rawData = """|C1,C2,C3,C4,C5  |1,5,9,13,17  |2,6,10,14,18  |3,7,11,15,19  |20,21,22,23,24""".stripMargin  val data = Seq((Source.fromString(rawData).getLines()).map(_.split(",")).toSeq: _*)  val output = ((data.take(1).flatMap(x => x) :+ "SUM").mkString(",") +: // Header line  data.drop(1).map(_.map(_.toInt)). // Convert per line each array of String to array of integer  map(cells => (cells, cells.sum)). //Add sum column to assemble a tuple. Part 1 are original numbers, 2 is the sum  map(part => s"${part._1.mkString(",")},${part._2}")).mkString("\n")  println(output)  /* Outputs:   C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 20,21,22,23,24,110 */ } 

Seed7

The program below assumes that the input file has the name csvDataManipulation.in and is in the same directory as the program.

$ include "seed7_05.s7i"; const proc: main is func local var file: input is STD_NULL; var array array string: csvData is 0 times 0 times ""; var integer: line is 0; begin input := open(dir(PROGRAM) & "/csvDataManipulation.in", "r"); while hasNext(input) do csvData &:= split(getln(input), ","); end while; csvData[3][3] := "X"; for key line range csvData do writeln(join(csvData[line], ",")); end for; end func;

Output:

C1,C2,C3,C4,C5 1,5,9,13,17 2,6,X,14,18 3,7,11,15,19 4,8,12,16,20 

SenseTalk

// For test purposes, start by creating (or re-creating) the data file put {{ C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 }} into file "myData.csv" // Read the file as a list of lists (rather than as the default list of property lists) put CSVValue(file "myData.csv", asLists:Yes) into csvData insert "SUM" into item 1 of csvData -- add a new column heading // Go through all of the data rows to add the sum repeat with rowNum= 2 to the number of items in csvData insert the sum of item rowNum of csvData into item rowNum of csvData end repeat put csvData -- see the modified data as a list of lists put CSVFormat of csvData into file "myData.csv" put file "myData.csv" -- display the updated file contents

Sidef

Translation of: Raku

For simple files we can use the split method.

# Read var csvfile = %f'data.csv'; var fh = csvfile.open_r; var header = fh.line.trim_end.split(','); var csv = fh.lines.map { .trim_end.split(',').map{.to_num} }; fh.close; # Write var out = csvfile.open_w; out.say([header..., 'SUM'].join(',')); csv.each { |row| out.say([row..., row.sum].join(',')) }; out.close; 

For complex files, the Text::CSV library is recommended.

var csv = require('Text::CSV').new(  Hash(eol => "\n") ); # Open var csvfile = %f'data.csv'; var fh = csvfile.open_r; # Read var rows = []; var header = csv.getline(fh); while (var row = csv.getline(fh)) {  rows.append(row.map{.to_num}); } # Process header.append('SUM'); rows.each { |row| row.append(row.sum) }; # Write var out = csvfile.open_w; [header, rows...].each { |row|  csv.print(out, row); }; 

Stata

import delim input.csv, clear replace c5=c3+c4 egen sum=rowtotal(c*) drop if mod(c3,3)==0 export delim output.csv, replace 

Tcl

Library: Tcllib (Package: struct::matrix)

Library: Tcllib (Package: csv)

package require struct::matrix package require csv proc addSumColumn {filename {title "SUM"}} {  set m [struct::matrix]  # Load the CSV in  set f [open $filename]  csv::read2matrix $f $m "," auto  close $f  # Add the column with the sums  set sumcol [$m columns]  $m add column $title  for {set i 1} {$i < [$m rows]} {incr i} {  # Fill out a dummy value  $m set cell $sumcol $i 0  $m set cell $sumcol $i [tcl::mathop::+ {*}[$m get row $i]]  }  # Write the CSV out  set f [open $filename w]  csv::writematrix $m $f  close $f  $m destroy } addSumColumn "example.csv" 

Output (in example.csv):

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Although, for this specific small task,

set f [open example.csv r] puts "[gets $f],SUM" while { [gets $f row] > 0 } {   puts "$row,[expr [string map {, +} $row]]" } close $f 

suffices.

TUSCRIPT

$$ MODE DATA $$ csv=* C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 $$ MODE TUSCRIPT LOOP/CLEAR n,line=csv IF (n==1) THEN line=CONCAT (line,",SUM") ELSE lineadd=EXCHANGE(line,":,:':") sum=SUM(lineadd) line=JOIN(line,",",sum) ENDIF csv=APPEND(csv,line) ENDLOOP

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

TXR

@(coll)@{name /[^,]+/}@(end) @(collect :vars (value sum)) @ (bind sum 0) @ (coll)@{value /[^,]+/}@(set sum @(+ sum (int-str value)))@(end) @(end) @(output) @ (rep)@name,@(last)SUM@(end) @ (repeat) @ (rep)@value,@(last)@sum@(end) @ (end) @(end)

UNIX Shell

Works with: bash

Very simple solution using powerfull and ancient but strong linux command, I named "tr" and "bc", and internal variable bash test capabilities :

cat csv | while read S; do [ -z ${S##*C*} ] && echo $S,SUM || echo $S,`echo $S | tr ',' '+' | bc` done 

Result :

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

Other solution (not from me) :

bash>exec 0<"$1" # open the input file on stdin exec 1>"$1.new" # open an output file on stdout { read -r header echo "$header,SUM" IFS=, while read -r -a numbers; do sum=0 for num in "${numbers[@]}"; do (( sum += num )) done # can write the above loop as # sum=$(( $(IFS=+; echo "${numbers[*]}") )) echo "${numbers[*]},$sum" done } && mv "$1" "$1.bak" && mv "$1.new" "$1"

Works with: ksh

To make this work with ksh, change

read -a 

to

read -A 

uBasic/4tH

Works with: R3

uBasic/4tH can read text files and has a built-in tokenizer, so parsing simple CSV files is not a problem.

if set (a, open ("yourcsv.csv", "r")) < 0 then print "Cannot open \qyourcsv.csv\q" ' open file a for reading end ' abort on file opening errors endif if set (b, open ("mycsv.csv", "w")) < 0 then print "Cannot open \qmycsv.csv\q" ' open file a for writing end ' abort on file opening errors endif if read (a) = 0 then ' read the header line print "Unexpected end of file" ' if it fails, write the error close a : close b : end ' close files and terminate endif ' process the header line for c = 0 step 1 ' don't know number of columns p = here() ' get input buffer position y = tok (ord (",")) ' parse the first field until p = here() ' until buffer position doesn't change write b, show (y);","; ' write it out next write b, "Sum" ' add a column do while read (a) ' read a line s = 0 ' reset the sum for x = 0 to c-1 ' read all columns y = iif (set (y, val (tok (ord (",")))) = info ("nil"), 0, y) s = s + y ' add value to sum write b, y;","; ' write the value next ' next column write b, s ' write the sum loop close a : close b : end ' close files and terminate

Uiua

# Simple CSV manipulation # Effect of running `&fras "example.csv"` $ C1,C2,C3,C4,C5 $ 1,5,9,13,17 $ 2,6,10,14,18 $ 3,7,11,15,19 $ 4,8,12,16,20 &p⍜°csv(⍜⍉⊂:⊂□"SUM"≡(□⍜⋕/+)↘1.) # Save using `&fwa "example.csv"`

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

Ursa

# # csv data manipulation # # declare a string stream to hold lines decl string<> lines # open the file specified on the command line, halting # execution if they didn't enter one. it will be created if # it doesn't exist yet decl file f if (< (size args) 2) out "error: please specify a csv file" endl console stop end if f.create args<1> f.open args<1> # read in all lines from the file set lines (f.readlines) # append sum column to header set lines<0> (+ lines<0> ",SUM") # determine sums and append them decl int i sum for (set i 1) (< i (size lines)) (inc i) set sum 0 for (decl int j) (< j (size (split lines<i> ","))) (inc j) set sum (int (+ sum (int (split lines<i> ",")<j>))) end for set lines<i> (+ lines<i> (+ "," sum)) end for # delete the file, then create it again f.delete args<1> f.create args<1> # output all lines to the file for (set i 0) (< i (size lines)) (inc i) out lines<i> endl f end for

VBA

Using Excel VBA to load a CSV file in a new workbook.

Sub ReadCSV() Workbooks.Open Filename:="L:\a\input.csv" Range("F1").Value = "Sum" Range("F2:F5").Formula = "=SUM(A2:E2)" ActiveWorkbook.SaveAs Filename:="L:\a\output.csv", FileFormat:=xlCSV ActiveWindow.Close End Sub

VBScript

'Instatiate FSO. Set objFSO = CreateObject("Scripting.FileSystemObject") 'Open the CSV file for reading. The file is in the same folder as the script and named csv_sample.csv. Set objInCSV = objFSO.OpenTextFile(objFSO.GetParentFolderName(WScript.ScriptFullName) & "\csv_sample.csv",1,False) 'Set header status to account for the first line as the column headers. IsHeader = True 'Initialize the var for the output string. OutTxt = "" 'Read each line of the file. Do Until objInCSV.AtEndOfStream line = objInCSV.ReadLine If IsHeader Then OutTxt = OutTxt & line & ",SUM" & vbCrLf IsHeader = False Else OutTxt = OutTxt & line & "," & AddElements(line) & vbCrLf End If Loop 'Close the file. objInCSV.Close 'Open the same file for writing. Set objOutCSV = objFSO.OpenTextFile(objFSO.GetParentFolderName(WScript.ScriptFullName) & "\csv_sample.csv",2,True) 'Write the var OutTxt to the file overwriting existing contents. objOutCSV.Write OutTxt 'Close the file. objOutCSV.Close Set objFSO = Nothing 'Routine to add each element in a row. Function AddElements(s) arr = Split(s,",") For i = 0 To UBound(arr) AddElements = AddElements + CInt(arr(i)) Next End Function

Input:

C1,C2,C3,C4,C5 1,5,9,13,17 2,6,10,14,18 3,7,11,15,19 4,8,12,16,20 

Output:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60

Vedit macro language

This example adds 100 to the values in each cell at row n+1, column n.

File_Open("input.csv") for (#1 = 0; #1 < 4; #1++) { Goto_Line(#1+2) // line (starting from line 2) if (#1) { Search(",", ADVANCE+COUNT, #1) // column } #2 = Num_Eval() // #2 = old value Del_Char(Chars_Matched) // delete old value Num_Ins(#2+100, LEFT+NOCR) // write new value } File_Save_As("output.csv", OK+NOMSG)

output.csv:

C1,C2,C3,C4,C5 101,5,9,13,17 2,106,10,14,18 3,7,111,15,19 4,8,12,116,20 

Visual FoxPro

CLOSE DATABASES ALL SET SAFETY OFF MODIFY FILE file1.csv NOEDIT *!* Create a cursor with integer columns CREATE CURSOR tmp1 (C1 I, C2 I, C3 I, C4 I, C5 I) APPEND FROM file1.csv TYPE CSV SELECT C1, C2, C3, C4, C5, C1+C2+C3+C4+C5 As sum ; FROM tmp1 INTO CURSOR tmp2 COPY TO file2.csv TYPE CSV MODIFY FILE file2.csv NOEDIT IN SCREEN SET SAFETY ON

Wren

Wren does not have any built-in functions for dealing with generic CSV files so we therefore need to work from first principles.

import "io" for File var lines = File.read("rc.csv").split("\n").map { |w| w.trim() }.toList var file = File.create("rc.csv") // overwrite existing file file.writeBytes(lines[0] + ",SUM\n") for (line in lines.skip(1)) { if (line != "") { var nums = line.split(",").map { |s| Num.fromString(s) } var sum = nums.reduce { |acc, n| acc + n } file.writeBytes(line + ",%(sum)\n") } } file.close()

Output:

Contents of rc.csv after manipulation:

C1,C2,C3,C4,C5,SUM 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60 

XPL0

XPL0 has no built-in functions that handle CSV files. However, it's easy enough to make the InField procedure shown here that reads in a CSV field and returns its text and integer values. The task's csv file is read and written from a command line like this: csv <csv.txt >csv2.txt

string 0; \use zero-terminated strings def LF=$0A, EOF=$1A; int Val, Char; char Str(80); proc InField; int I; [I:= 0; Val:= 0; loop [Char:= ChIn(1); if Char=^, or Char=LF or Char=EOF then quit; Str(I):= Char; I:= I+1; if Char>=^0 and Char<=^9 then Val:= Val*10 + Char - ^0; ]; Str(I):= 0; ]; int Sum; [loop [InField; Text(0, Str); if Char = LF then quit; ChOut(0, ^,); ]; Text(0, ",SUM"); CrLf(0); loop [Sum:= 0; loop [InField; if Char = EOF then return; if rem(Val/5)=0 then Val:= Val*20; IntOut(0, Val); Sum:= Sum + Val; if Char = LF then quit; ChOut(0, ^,); ]; Text(0, ","); IntOut(0, Sum); CrLf(0); ]; ]

Output:

C1,C2,C3,C4,C5,SUM 1,100,9,13,17,140 2,6,200,14,18,240 3,7,11,300,19,340 4,8,12,16,400,440 

Yabasic

Translation of: FreeBASIC

open #1, "manipy.csv", "r" //existing CSV file separated by spaces, not commas open #2, "manip2.csv", "w" //new CSV file for writing changed data line input #1 header$ header$ = header$ + ",SUM" print #2 header$ while !eof(1) input #1 c1, c2, c3, c4, c5 sum = c1 + c2 + c3 + c4 + c5 print #2 c1, c2, c3, c4, c5, sum wend close #1 close #2 end

zkl

csvFile:=File("test.csv"); header:=csvFile.readln().strip(); // remove trailing "\n" and leading white space listOfLines:=csvFile.pump(List,fcn(line){ line.strip().split(",").apply("toInt") }); newFile:=File("test2.csv","w"); newFile.writeln(header + ",sum"); listOfLines.pump(newFile.writeln,fcn(ns){ String(ns.concat(","),",",ns.sum()) }); newFile.close();

Output:

$ cat test2.csv C1,C2,C3,C4,C5,sum 1,5,9,13,17,45 2,6,10,14,18,50 3,7,11,15,19,55 4,8,12,16,20,60