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=====
csvpy
=====
Description
===========
Loads a CSV file into a :class:`agate.csv.Reader` object and then drops into a Python shell so the user can inspect the data however they see fit:
.. code-block:: none
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 (and --locale, --date-format,
--datetime-format, --no-leading-zeroes) when parsing
the input.
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: :doc:`../common_arguments`.
Examples
========
Basic use:
.. code-block:: console
$ 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:
.. code-block:: console
$ 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:
.. code-block:: console
$ 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 |
|
