csvpy - csvkit 1.4.0 documentation

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# 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] [--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 |