Python CSV write by column rather than row

Question

I have a python script that generates a bunch of data in a while loop  I need to write this data to a CSV file  so it writes by column rather than row  For example in loop 1 of my script I generate   1  2  3  4   I need this to reflect in my csv script like so  Result 1    1 Result 2    2 Result 3    3 Result 4    4  On my second loop i generate   5  6  7  8   I need this to look in my csv file like so  Result 1    1    5 Result 2    2    6 Result 3    3    7 Result 4    4    8  and so forth until the while loop finishes  Can anybody help me    EDIT The while loop can last over 100 000 loops

User · Answer

what about Result   there also are generated in the loop  because i don t think it s possible to add to the csv file   i will go like this   generate all the data at one rotate the matrix write in the file   A       A append range 1  5      an Example of you first loop  A append range 5  9      an Example of you second loop  data to write   zip  A     then you can write now row by row

User · Answer

wr writerow item    column by column wr writerows item   row by row   This is quite simple if your goal is just to write the output column by column    If your item is a list   yourList       with open  yourNewFileName csv    w     as myfile      wr   csv writer myfile  quoting csv QUOTE ALL      for word in yourList          wr writerow  word

User · Answer

Let s assume that  1  you don t have a large memory  2  you have row headings in a list  3  all the data values are floats  if they re all integers up to 32- or 64-bits worth  that s even better   On a 32-bit Python  storing a float in a list takes 16 bytes for the float object and 4 bytes for a pointer in the list  total 20  Storing a float in an array array  d   takes only 8 bytes  Increasingly spectacular savings are available if all your data are int  any negatives   that will fit in 8  4  2 or 1 byte s  -- especially on a recent Python where all ints are longs   The following pseudocode assumes floats stored in array array  d    In case you don t really have a memory problem  you can still use this method  I ve put in comments to indicate the changes needed if you want to use a list     Preliminary  import array   list  delete hlist      dlist      for each row       hlist append some heading string      dlist append array array  d      list  dlist append       generate data col index   -1 for each column      col index    1     for row index in xrange len hlist            v   calculated data value row index  colindex          dlist row index  append v    write to csv file for row index in xrange len hlist        row    hlist row index       row extend dlist row index       csv writer writerow row

User · Answer

Read it in by row and then transpose it in the command line  If you re using Unix  install csvtool and follow the directions in  https   unix stackexchange com a 314482 186237

User · Answer

The reason csv doesn t support that is because variable-length lines are not really supported on most filesystems  What you should do instead is collect all the data in lists  then call zip   on them to transpose them after    gt  gt  gt  l      Result 1    Result 2    Result 3    Result 4     1  2  3  4    5  6  7  8    gt  gt  gt  zip  l     Result 1   1  5     Result 2   2  6     Result 3   3  7     Result 4   4  8

User · Answer

Updating lines in place in a file is not supported on most file system  a line in a file is just some data that ends with newline  the next line start just after that    As I see it you have two options    Have your data generating loops be generators  this way they won t consume a lot of memory - you ll get data for each row  just in time  Use a database  sqlite   and update the rows there  When you re done - export to CSV   Small example for the first method   from itertools import islice  izip  count print list islice izip count 1   count 2   count 3    10     This will print    1  2  3    2  3  4    3  4  5    4  5  6    5  6  7    6  7  8    7  8  9    8  9  10    9  10  11    10  11  12     even though count generate an infinite sequence of numbers

User · Answer

As an alternate streaming approach      dump each col into a file use python or unix paste command to rejoin on tab  csv  whatever    Both steps should handle steaming just fine     Pitfalls    if you have 1000s of columns  you might run into the unix file handle limit

[python] Python: CSV write by column rather than row

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