LinuxCommandLibrary

agate

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TLDR

Run and generate a private key and certificate

$ agate --content [path/to/content/] --addr [[::]:1965] --addr [0.0.0.0:1965] --hostname [example.com] --lang [en-US]
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Run server
$ agate [path/to/file]
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Display help
$ agate [[-h|--help]]
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SYNOPSIS

agate is a Python library and therefore does not have a direct command-line synopsis like typical Linux commands.

Its functionality is accessed by importing it into Python scripts:

import agate
table = agate.Table.from_csv('data.csv')

For command-line operations, users often employ tools built upon agate, such as components of the csvkit suite, which expose agate's power via commands like csvlook or csvstat.

PARAMETERS

N/A
    As a Python library, agate does not have command-line parameters or options in the manner of a standard Linux command. Its functionality is accessed through its API (Application Programming Interface) within Python scripts, where methods and functions accept arguments.

DESCRIPTION

agate is a powerful and opinionated Python library designed for data analysis, specifically focusing on structured data like CSV, Excel, and JSON files. Unlike traditional Linux commands that are standalone executables invoked directly from the shell (e.g., ls, grep), agate is typically imported and used within Python scripts. Its core philosophy emphasizes predictability, strong typing, and explicit schemas, aiming to provide a more robust and less error-prone experience for data manipulation than some other general-purpose data libraries. While it doesn't have a direct command-line interface itself, its capabilities are often leveraged by custom command-line tools built on top of it, most notably the popular csvkit suite, which uses agate as its data processing engine. Its primary applications include data journalism, reproducible research, and general-purpose tabular data cleaning and transformation.

CAVEATS

agate is not a standard, pre-installed Linux command-line utility. It is a Python library that must be installed separately (e.g., via pip install agate). Users wishing to interact with its capabilities directly from the command line often utilize tools from the csvkit suite, which are built upon agate. Its primary interface is through Python programming, requiring familiarity with Python for full utilization. It is designed for structured data analysis rather than general text processing.

INSTALLATION

To use agate, it must be installed using Python's package manager, pip:
pip install agate
It is generally recommended to install Python libraries within a virtual environment to manage project-specific dependencies.

PRIMARY USE CASES

agate is primarily used for:
- Reading and writing various structured data formats (CSV, JSON, Excel, fixed-width files, etc.)
- Cleaning, transforming, and validating tabular data programmatically
- Performing aggregations, calculations, and statistical analyses
- Enabling reproducible data analysis pipelines within Python scripts
- Serving as the foundational data engine for command-line tools like those in csvkit.

HISTORY

agate was created by Christopher Groskopf, a data journalist, with the goal of providing a robust and predictable library for data analysis, especially within reproducible data journalism workflows. It was designed to address some of the complexities and potential pitfalls encountered when using other data analysis tools like pandas for specific tasks, emphasizing strong typing and clear data schemas. It gained prominence through its integration as the core data engine for the popular csvkit suite of command-line tools, allowing its powerful data handling capabilities to be exposed through convenient shell commands.

SEE ALSO

csvkit(1), pandas (Python library), awk(1), grep(1), cut(1)

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