semvec/pypi-packages huggingface dataset:
golumn 0.22.3
Graphical CSV viewer. `column` with a "g"
License: MIT
Requires Python: >=3
Keywords: csv development desktop wxWidgets

Golumn
======

Golumn is a desktop CSV viewer to replace the ``column`` command. Think ``column`` with a "g". It behaves similar to the ``column`` command, but with a graphic user interface. It bridges the command line and desktop divide by allowing us to present tabular data outside the confines of the terminal.

.. class:: no-web

    .. image:: https://raw.githubusercontent.com/ddrscott/golumn/dev/docs/screenshot.png
        :alt: screenshot
        :width: 100%
        :align: center

It is challenging without this tool to manage a bunch of tabular output within only a terminal window. It's difficult to maintain context when long scrolling text and we're often executing the same statements to bring up previous results.

A typical workflow without this tool is chain together commands:

.. code:: sh

    # psql
    #   -X :: ignore ~/.psqlrc 
    #   -A :: remove whitespace
    #   -c :: run the SQL statement
    # column
    #   -t :: table-ize
    #   -s :: set delimiter
    # less
    #   -S :: Scroll horizontally (enables left/right arrows)
    psql -X -A --pset footer -c 'select * from actors_list' dvdrental | column -ts '|' | less -S

When you're done viewing the data it disappears. Leaving you to remember what you saw as you're building the next statement. We could (and probably should) manage our terminal windows better with splits and tabs, but there's limits which desktop GUI's have solved. Enter ``golumn``.

Usage
-----

.. code:: sh

    # Open a CSV file:
    golumn data.csv &

    # Pipe in the data:
    cat data.csv | golumn &

    # Show Query Results:
    psql -X -A --pset footer -c 'select * from actors_list' dvdrental | golumn &

Installation
------------

Requires Python3. Please makes sure it's installed property on target OS with Pip package manager.

This package is available via https://pypi.python.org/pypi. To install on the target system try:

.. code:: sh

    pip3 install golumn --upgrade --user
    # --upgrade ensures you get the latest version
    # --user install only for your user


On OSX Python with GUI support is required. Install using the following:

.. code:: sh

    conda install python.app

For more info on install pip packages see:
https://pip.pypa.io/en/stable/quickstart/

Make sure ``pip3`` binaries are available in your ``$PATH``:

Contributing
------------

Bug reports and pull requests are welcome on GitHub at
https://github.com/ddrscott/golumn

License
-------

The gem is available as open source under the terms of the `MIT License <https://opensource.org/licenses/MIT>`__.
sbvirtualdisplay 1.4.0
A customized pyvirtualdisplay for SeleniumBase.
License: MIT
Requires Python: >=3.8
Keywords: Xvfb Xephyr Virtual Display Linux SeleniumBase

# sbVirtualDisplay (💻) [![](https://img.shields.io/pypi/v/sbvirtualdisplay.svg)](https://pypi.python.org/pypi/sbvirtualdisplay)

A customized [pyvirtualdisplay](https://github.com/ponty/PyVirtualDisplay) for use with [SeleniumBase](https://github.com/seleniumbase/SeleniumBase) automation.

## Usage example:

```python
from sbvirtualdisplay import Display

display = Display(visible=0, size=(1440, 1880))
display.start()

# Run browser tests in a headless environment

display.stop()
```

### Or as a context manager:

```python
with Display(visible=0, size=(1440, 1880)):
    # Run browser tests in a headless environment
    ...
```

## When to use:

If you need to run browser tests on a headless machine (such as a Linux backend), and you can't use a browser's headless mode (such as Chrome's headless mode), then this may help. For example, Chrome does not allow extensions in headless mode, so if you need to run automated tests on a headless Linux machine and you need to use Chrome extensions, then this will let you run those tests using a virtual display.


## More info:

* [Xvfb](https://en.wikipedia.org/wiki/Xvfb) is required for this to work.