CLEVERCSV-STANDARDIZE(1)       Clevercsv Manual       CLEVERCSV-STANDARDIZE(1)

NAME
       clevercsv-standardize - Convert a CSV file to one that conforms to
       RFC-4180

SYNOPSIS
       clevercsv standardize [-e ENCODING | --encoding=ENCODING] [-i | --in-place]
                             [-n NUM_CHARS | --num-chars=NUM_CHARS]
                             [-o OUTPUT | --output=OUTPUT] [-t | --transpose]
                             <path [path ...]>


DESCRIPTION
       The standardize command can be used to convert a non-standard CSVfile
       to the standard RFC-4180 format [1]. When using the --in-place option,
       the return code of CleverCSV can be used to check whether a file was
       altered or not. The return codewill be 2 when the file was altered and
       0 otherwise.

       [1]: https://tools.ietf.org/html/rfc4180

OPTIONS


       -h, --help
           show this help message and exit

       -e, --encoding
           The file encoding of the given CSV file is automatically detected
           using chardet. While chardet is incredibly accurate, it is not
           perfect. In the rare cases that it makes a mistake in detecting the
           file encoding, you can override the encoding by providing it
           through this flag. For this command, the provided encoding will
           also be used for the output file(s). When only one encoding is
           given, it will be used for all files given on the command line.
           When multiple encodings are given, the number must correspond to
           the number of files provided as input.

       -i, --in-place
           Standardize and overwrite the input file(s)

       -n, --num-chars
           On large CSV files, dialect detection can sometimes be a bit slow
           due to the large number of possible dialects to consider. To
           alleviate this, you can limit the number of characters to use for
           detection.

           One aspect to keep in mind is that CleverCSV may need to read a
           specific number of characters to be able to correctly infer the
           dialect. For example, in the ``imdb.csv`` file in the GitHub
           repository, the correct dialect can only be found after at least 66
           lines of the file are read. Therefore, if there is availability to
           run CleverCSV on the entire file, that is generally recommended.

       -o, --output
           The output files to write the standardized input files to. The
           order of the input files and the order of the output files should
           match if this option is used with more than one input file.

       -t, --transpose
           Transpose the columns of the input file(s) before writing

       <path>
           Path to one or more CSV file(s)

CLEVERCSV
       Part of the CleverCSV suite

Clevercsv 0.8.2                   2023-09-24          CLEVERCSV-STANDARDIZE(1)