NAME

       in2csv - in2csv Documentation

DESCRIPTION

       Converts various tabular data formats into CSV.

       Converting  fixed  width  requires  that  you provide a schema file with the "-s" option. The schema file
       should have the following format:

          column,start,length
          name,0,30
          birthday,30,10
          age,40,3

       The header line is required though the columns may be in any order:

          usage: in2csv [-h] [-d DELIMITER] [-t] [-q QUOTECHAR] [-u {0,1,2,3}] [-b]
                        [-p ESCAPECHAR] [-z FIELD_SIZE_LIMIT] [-e ENCODING] [-L LOCALE]
                        [-S] [--blanks] [--null-value NULL_VALUES [NULL_VALUES ...]]
                        [--date-format DATE_FORMAT] [--datetime-format DATETIME_FORMAT]
                        [-H] [-K SKIP_LINES] [-v] [-l] [--zero] [-V]
                        [-f {csv,dbf,fixed,geojson,json,ndjson,xls,xlsx}] [-s SCHEMA]
                        [-k KEY] [-n] [--sheet SHEET] [--write-sheets WRITE_SHEETS]
                        [--use-sheet-names] [--reset-dimensions]
                        [--encoding-xls ENCODING_XLS] [-y SNIFF_LIMIT] [-I]
                        [FILE]

          Convert common, but less awesome, tabular data formats to CSV.

          positional arguments:
            FILE                  The CSV file to operate on. If omitted, will accept
                                  input as piped data via STDIN.

          optional arguments:
            -h, --help            show this help message and exit
            -f {csv,dbf,fixed,geojson,json,ndjson,xls,xlsx}, --format {csv,dbf,fixed,geojson,json,ndjson,xls,xlsx}
                                  The format of the input file. If not specified will be
                                  inferred from the file type.
            -s SCHEMA, --schema SCHEMA
                                  Specify a CSV-formatted schema file for converting
                                  fixed-width files. See web documentation.
            -k KEY, --key KEY     Specify a top-level key to look within for a list of
                                  objects to be converted when processing JSON.
            -n, --names           Display sheet names from the input Excel file.
            --sheet SHEET         The name of the Excel sheet to operate on.
            --write-sheets WRITE_SHEETS
                                  The names of the Excel sheets to write to files, or
                                  "-" to write all sheets.
            --use-sheet-names     Use the sheet names as file names when --write-sheets
                                  is set.
            --reset-dimensions    Ignore the sheet dimensions provided by the XLSX file.
            --encoding-xls ENCODING_XLS
                                  Specify the encoding of the input XLS file.
            -y SNIFF_LIMIT, --snifflimit SNIFF_LIMIT
                                  Limit CSV dialect sniffing to the specified number of
                                  bytes. Specify "0" to disable sniffing.
            -I, --no-inference    Disable type inference (and --locale, --date-format,
                                  --datetime-format) when parsing CSV input.

           Some command-line flags only pertain to specific input formats.

       See also: Arguments common to all tools.

       NOTE:
          The "ndjson" format refers to "newline delimited JSON", as used by many streaming APIs.

       NOTE:
          If an XLS looks identical to an XLSX when viewed in Excel, they may  not  be  identical  as  CSV.  For
          example,  XLSX  has an integer type, but XLS doesn't. Numbers that look like integers from an XLS will
          have decimals in CSV, but those from an XLSX won't.

       NOTE:
          To convert from HTML, consider messytables.

EXAMPLES

       Convert the 2000 census geo headers file from fixed-width to CSV and from latin-1 encoding to utf8:

          in2csv -e iso-8859-1 -f fixed -s examples/realdata/census_2000/census2000_geo_schema.csv examples/realdata/census_2000/usgeo_excerpt.upl

       NOTE:
          A library of fixed-width schemas is maintained in the ffs project:

          https://github.com/wireservice/ffs

       Convert an Excel .xls file:

          in2csv examples/test.xls

       Standardize the formatting of a CSV file (quoting, line endings, etc.):

          in2csv examples/realdata/FY09_EDU_Recipients_by_State.csv

       Fetch csvkit's open issues from the GitHub API, convert the JSON response into a CSV and write  it  to  a
       file:

          curl https://api.github.com/repos/wireservice/csvkit/issues?state=open | in2csv -f json -v

       Convert a DBase DBF file to an equivalent CSV:

          in2csv examples/testdbf.dbf

       This tool names unnamed headers. To avoid that behavior, run:

          in2csv --no-header-row examples/test.xlsx | tail -n +2

TROUBLESHOOTING

       If an error like the following occurs when providing an input file in CSV or Excel format:

          ValueError: Row 0 has 11 values, but Table only has 1 columns.

       Then  the input file might have initial rows before the header and data rows. You can skip such rows with
       --skip-lines (-K):

          in2csv --skip-lines 3 examples/test_skip_lines.csv

       If an XLSX file yields too few rows or too few columns, then the application that created the file  might
       have incorrectly set the worksheet's dimensions. Try again with the --reset-dimensions option.

AUTHOR

       Christopher Groskopf and contributors

COPYRIGHT

       2016, Christopher Groskopf and James McKinney

2.0.1                                             Jul 12, 2024                                         IN2CSV(1)