NAME

       csvpy - csvpy Documentation

DESCRIPTION

       Loads  a CSV file into a agate.csv.Reader object and then drops into a Python shell so the
       user can inspect the data however they see fit:

          usage: csvpy [-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] [--dict] [--agate]
                       [--no-number-ellipsis] [-y SNIFF_LIMIT] [-I]
                       [FILE]

          Load a CSV file into a CSV reader and then drop into a Python shell.

          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
            --dict                Load the CSV file into a DictReader.
            --agate               Load the CSV file into an agate table.
            --no-number-ellipsis  Disable the ellipsis if the max precision is exceeded.
            -y SNIFF_LIMIT, --snifflimit SNIFF_LIMIT
                                  Limit CSV dialect sniffing to the specified number of
                                  bytes. Specify "0" to disable sniffing entirely, or
                                  "-1" to sniff the entire file.
            -I, --no-inference    Disable type inference when parsing the input. This
                                  disables the reformatting of values.

       This tool will automatically use the IPython shell if it is installed, otherwise  it  will
       use the running Python shell.

       NOTE:
          Due to platform limitations, csvpy does not accept file input as piped data via STDIN.

       See also: Arguments common to all tools.

EXAMPLES

       Basic use:

       $ csvpy examples/dummy.csv
              Welcome!  "examples/dummy.csv"  has  been loaded in a reader object named "reader".
              >>> next(reader) ['a', 'b', 'c']

       As a dictionary:

          $ csvpy --dict examples/dummy.csv
          Welcome! "examples/dummy.csv" has been loaded in a DictReader object named "reader".
          >>> next(reader)
          {'a': '1', 'c': '3', 'b': '2'}

       As an agate table:

          $ csvpy --agate examples/dummy.csv
          Welcome! "examples/dummy.csv" has been loaded in a from_csv object named "reader".
          >>> reader.print_table()
          |    a | b | c |
          | ---- | - | - |
          | True | 2 | 3 |

AUTHOR

       Christopher Groskopf and contributors

COPYRIGHT

       2016, Christopher Groskopf and James McKinney