csvpy - Man Page

• Load a CSV file into a CSVKitReader object: csvpy data.csv
• Load a CSV file into a CSVKitDictReader object: csvpy --dict data.csv

tldr.sh

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:

See also: Arguments common to all tools.

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 |

Christopher Groskopf and contributors

2024, Christopher Groskopf and James McKinney