semvec/pypi-packages huggingface dataset:
a-pandas-ex-console-plot 0.10
Retro Pandas - Plotting back in 1985
License: MIT
Keywords: pandas,plotting


<h2>Retro Pandas - Plotting back in 1985</h2>


<img src="https://decider.com/wp-content/uploads/2014/07/back-to-the-future.jpg?quality=90&strip=all&w=646&h=335&crop=1"/>



```python

$pip install a-pandas-ex-console-plot

from a_pandas_ex_console_plot import pd_add_console_plot
import pandas as pd
import numpy as np
pd_add_console_plot()
#https://pandas.pydata.org/pandas-docs/stable/user_guide/visualization.html
df2 = pd.DataFrame(np.random.rand(10, 4), columns=["a", "b", "c", "d"])
df2.ds_console_plot(sizepic=70, kind="bar", subplots=False)

```
### Isn't that beautiful? hahahaha

<img src="https://github.com/hansalemaos/screenshots/raw/main/pandasconsoleplott.png"/>
moogpy 1.0.8
MOOG spectral synthesis code and python wrapper
License: MIT
Requires Python: >=3.6

MOOGPy
======

This is a redistribution of the `MOOG stellar spectral
synthesis software <https://github.com/jsobeck/MOOG-SCAT_basic_git>`_
as well as my own python wrapper code.


Authors
-------

- **David Nidever** (Montana State University)

I did **not** write most of the code in this repository!
  
Installation
------------

To install the latest version::

    pip install moogpy

    
Documentation
-------------

.. image:: https://readthedocs.org/projects/moogpy/badge/?version=latest
        :target: http://moogpy.readthedocs.io/

See `the documentation <http://moogpy.readthedocs.io>`_ for information on how
to install and use MOOGPy.

License
-------

.. image:: http://img.shields.io/badge/license-MIT-blue.svg?style=flat
        :target: https://github.com/dnidever/moogpy/blob/main/LICENSE
NFW 0.3.1
Python routines for computing Navarro-Frenk-White halo properties
License: MIT
Keywords: nfw halo astrophysics astronomy galaxy-clusters galaxies navarro-frenk-white

Navarro-Frenk-White (NFW) Halo Class
====================================

|Build Status| |Coverage Status| |DOI|

This class implements the NFW (Navarro, Julio F. Frenk, Carlos S. White,
Simon D. M., "A Universal Density Profile from Hierarchical Clustering",
The Astrophysical Journal vol. 490, pp. 493-508, 1997) halo profile. It
allows easy computation of halo quantities such as mass at and radius of
specified overdensities. Overdensities can be specified either with
respect to the critical or mean density of the Universe.

Class instances can be created at different overdensities. As such
the class allows for easy conversion between masses and concentration
parameters between different mass definitions.

Surface mass density and differential surface mass density methods are
available for weak lensing applications.

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

The easiest way to install the NFW module is to use pip::
  
  $ pip install NFW


Dependencies
------------

This implementation of the NFW halo properties depends on

-  numpy >= 1.9
-  scipy >= 0.16
-  astropy >= 2.0

Older versions may work but are untested. In particular astropy > 1.0 is
known to work but the unit tests will fail because astropy-2.0 updated
physical constants from CODATA 2010 to CODATA 2014.

Author
------

Jörg Dietrich astro@joergdietrich.com

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

Development takes place on GitHub_. Please report any bugs as an issue in the
GitHub issue tracker.

License
-------

NFW is released under an MIT license. See LICENCE.txt


.. |Build Status| image:: https://img.shields.io/github/actions/workflow/status/joergdietrich/NFW/main.yml
   :target: https://github.com/joergdietrich/NFW/actions
.. |Coverage Status| image:: https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/joergdietrich/fdfe01f268aa013bfbc3f426b2fce781/raw/covbadge.json
.. |DOI| image:: https://zenodo.org/badge/doi/10.5281/zenodo.50664.svg
   :target: http://dx.doi.org/10.5281/zenodo.50664
.. _GitHub: https://github.com/joergdietrich/NFW
desper 1.1.1.post0
A Python3 game development toolkit for resource and logic management
License: MIT
Requires Python: >=3.9

![desper logo](https://github.com/Ball-Man/desper/blob/master/assets/desper-logo-raw.png?raw=true)
# desper
A Python3 game development toolkit for resource and logic management.
Meant to be used coupled with open source projects.

Inspired by the wonderful ECS library: [esper](https://github.com/benmoran56/esper). A special thanks to its author, Benjamin.

## Abstract
Desper provides a component based logic system, designed with game development in mind. The objective is to fill the lack of game logic management systems in the open source Python landscape.

In particular, while there are many valuable media libraries out there ([pyglet](https://github.com/pyglet/pyglet), [SDL2](https://github.com/py-sdl/py-sdl2), etc.) they mostly provide APIs for window and graphic management. Consequently, often times game logic has to be implemented and reinvented from scratch. Desper provides a minimal expandable API that aims at obtaining interoperation with these powerful media libraries. These expansions will be implemented over time and provided through separate packages.

The project started as an expansion of [esper](https://github.com/benmoran56/esper), hence many aspects of the API will result similar.

## Installation
Simple installation from PyPi (recommended):
```
pip install desper
```

Or installation from master branch:
```
git clone https://github.com/Ball-Man/desper
cd desper
pip install .
```

## Expansions
Expansion libraries the can offer interoperation with existing media libraries will be implemented over time and provided through separate packages. Current ones:

- [pyglet-desper](https://github.com/Ball-Man/pyglet-desper/) (work in progress), for [pyglet](https://github.com/pyglet/pyglet) interoperation

## Project status
*(updated 2022-12-29)*
A first draft of the docs (API reference only) can be found at [desper.readthedocs.io](https://desper.readthedocs.io/en/latest/). Examples and a user guide are in the making.

## desper in action
* current project, closed source: [Lone Planet](https://fmistri.it/lone/index.html)
* android game experiment, open source (uses an old alpha version of desper): [monospace](https://github.com/Ball-Man/monospace)
cv2-rectangle-around-center 0.10
Creates a rectangle around a center point
License: MIT
Keywords: cv2,numpy,rectangle,center


<h2>Creates a rectangle around a center point</h2>


```python

$pip install cv2-rectangle-around-center

from cv2_rectangle_around_center import line_rectangle_center, rectangle_center
# Allowed image formats: url/path/buffer/base64/PIL/np


im1 = line_rectangle_center(
    image=r"https://raw.githubusercontent.com/hansalemaos/screenshots/main/diff.png",
    center=(150, 150),
    width=200,
    height=280,
    thickness=6,
    color1=(255, 0, 0),
    color2=(255, 255, 0),
    color3=(255, 0, 255),
    color4=(0, 255, 255),
    save_path="f:\\recta\\lines.png",
)

im2 = rectangle_center(
    image=r"https://raw.githubusercontent.com/hansalemaos/screenshots/main/diff.png",
    center=(150, 150),
    width=200,
    height=280,
    thickness=6,
    color=(255, 0, 0),
    save_path="f:\\recta\\rect1.png",
)

im3 = rectangle_center(
    image=r"https://raw.githubusercontent.com/hansalemaos/screenshots/main/diff.png",
    center=(150, 150),
    width=200,
    height=280,
    thickness=-1,
    color=(255, 255, 0),
    save_path="f:\\recta\\rect2.png",
)

```

<img src="https://raw.githubusercontent.com/hansalemaos/screenshots/main/diff.png"/>


<img src="https://github.com/hansalemaos/screenshots/raw/main/lines.png"/>


<img src="https://github.com/hansalemaos/screenshots/raw/main/rect1.png"/>



<img src="https://github.com/hansalemaos/screenshots/raw/main/rect2.png"/>