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.

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

$ 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'}

$ 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 |