csvpy
*****


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] [--date-format DATE_FORMAT]
                [--datetime-format DATETIME_FORMAT] [-H] [-K SKIP_LINES] [-v]
                [-l] [--zero] [-V] [--dict] [--agate]
                [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.

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".
   >>> reader.next()
   ['a', 'b', 'c']

As a dictionary:

   csvpy --dict examples/dummy.csv
   Welcome! "examples/dummy.csv" has been loaded in a DictReader object named "reader".
   >>> reader.next()
   {'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 |
