csvpy - Man Page
csvpy Documentation
Examples (TL;DR)
- Load a CSV file into a
CSVKitReader
object:csvpy data.csv
- Load a CSV file into a
CSVKitDictReader
object:csvpy --dict data.csv
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] [--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 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.
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". >>> reader.next() ['a', 'b', 'c']
As a dictionary:
csvpy --dict examples/dummy.csv Welcome! "examples/dummy.csv" has been loaded in a DictReader object named "reader". >>> reader.next() {'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 |
Author
Christopher Groskopf
Copyright
2023, Christopher Groskopf
Info
Jul 21, 2023 1.1.1 csvkit