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:
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 on 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 on STDIN.
See also: :doc:`../common_arguments`.
Basic use:
csvpy examples/dummy.csv Welcome! "examples/dummy.csv" has been loaded in a reader object named "reader". >>> reader.next() [u'a', u'b', u'c']
As a dictionary:
csvpy --dict examples/dummy.csv Welcome! "examples/dummy.csv" has been loaded in a DictReader object named "reader". >>> reader.next() {u'a': u'1', u'c': u'3', u'b': u'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 |