semvec/pypi-packages huggingface dataset:
wbplot 1.0.14
A package for automated plotting of neuroimaging maps using Connectome Workbench.

Automated plotting of neuroimaging maps from Python using [Connectome Workbench](https://www.humanconnectome.org/software/connectome-workbench).

This package is intended for users who want to generate images
which illustrate scalar data on a brain surface, from within their Python scripts. 

Installation
============
---

### Step 1. Make sure you have Connectome Workbench v1.3+ installed.
* If running `wb_view` from a terminal yields `command not found`, see  <https://www.humanconnectome.org/software/connectome-workbench/>
* If you have Workbench 1.2 or below installed, you will get an error message

### Step 2. Install `wbplot` and dependencies.
* Clone the repository and install manually: `git clone https://github.com/jbburt/wbplot.git`
* Or just use pip: `pip install wbplot`

Usage
=====
---
Assuming `x` is a NumPy array containing scalar values mapped onto each of the
360 parcels in the [Human Connectome Project](http://www.humanconnectomeproject.org/)'s [MMP1.0](https://www.nature.com/articles/nature18933) parcellation:
```
from wbplot import pscalar
pscalar("/path/to/image.png", x)
```

Assuming `y` is a NumPy array containing dense scalar values mapped onto the 59412
surface vertices in a standard bilateral 32k surface mesh:
```
from wbplot import dscalar
dscalar("/path/to/image.png", y)
```

Notes
=====
---
- `wbplot` currently only supports cortical data. Parcellated data must also be in the
HCP MMP1.0 parcellation. Dense data must be
registered to a standard 32k surface mesh. 
- Down the line I'd be open to adding subcortical
support and other functionality if people are interested.
- More detailed explanations of the functionality can be found in the scripts in the `examples` directory. 


Change Log
==========
---

* 1.0.14 Fixed an issue that caused  `wbplot` to break when using `nibabel>=3.2.0`.
* 1.0.13 Attempted to fix a bug which threw an error on Windows machines. FOLLOW-UP: Due to Connectome Workbench itself, Windows is currently NOT SUPPORTED.
* 1.0.12 Fixed bug in list of available colormaps; ROY-BIG-BL and videen_style are now supported.
* 1.0.11 Dependency version updates.
* 1.0.10 Patched keyword argument bug in wbplot.dscalar.
* 1.0.9 Fixed bug in images.check_dscalars().
* 1.0.8 Fixed it for real now.
* 1.0.7 Fixed type checking bug in `images` module.
* 1.0.6 Added errors raised to docstrings and cleaned up a few files.
* 1.0.5 Last patch didn't fix the problem.
* 1.0.4 ImageParcellated loaded into dense scenes resulted in error messages printed to console.
* 1.0.3 Entirely changed the way data are read from and written to, to circumnavigate permissions issues. 
* 1.0.2 Error in MANIFEST.in -- not all necessary data files included in build.
* 1.0.1 Small error in README.
* 1.0 Initial release.
groupstackbar 0.0.3
groupstackbar package
Requires Python: >=3.6

# groupstackbar
Python package for creating grouped and stacked bar plots using matplotlib.

## Installing
pip install groupstackbar

## Usage:
Please refer to example.py

## Image showing the meaning of each parameter
<img width="1850" alt="Screenshot 2021-02-10 at 10 26 22 PM" src="https://user-images.githubusercontent.com/9101260/107526035-64109c80-6bf2-11eb-86e4-500ecfe80160.png">
dicewars-pygame 0.3.0
DiceWars game GUI, based on pygame and dicewars
Requires Python: >=3.7

# dicewars_pygame #

A DiceWars game GUI (frontend) for
[*dicewars*](https://github.com/scotty007/dicewars),
based on [*pygame*](https://www.pygame.org).

**dicewars_pygame** runs **single player vs. up to 7 AI players** matches.
It should work on all platforms supported by
[*pygame*](https://www.pygame.org/wiki/GettingStarted)
and Python>=3.7.

![start screen](screenshot_01.png 'Start screen')

![match screen](screenshot_02.png 'Match screen')

## Installation & Start ##

The following commands may (or should) be executed in a Python 3 virtual env.

**dicewars_pygame** can be started w/o installation from inside the
top-level source directory:

    $ pip install -r requirements.txt
    $ python -m dicewars_pygame.main

### Installation from PyPI ###

**dicewars_pygame** is available on
[The Python Package Index](https://pypi.org/project/dicewars_pygame/):

    $ pip install dicewars_pygame
    $ dicewars_pygame

### Installation from source ###

    $ pip install .
    # or
    $ python setup.py install
    # then
    $ dicewars_pygame

### Options ###

Attack/supply step intervals during matches can be adjusted via the
``-i``/``--interval`` command line argument. The sound effects volume
can be reduced via ``-v``/``--volume``.

## Licenses ##

**dicewars_pygame** is distributed under the terms of the
[GPLv3+](https://www.gnu.org/licenses/gpl-3.0).

All sound files are created using
[sfxr-sdl2](https://github.com/tjohnman/sfxr-sdl2)
and licensed under the
[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).

The Anton font is licensed by The Anton Project Authors under the
[OFL v1.1](http://scripts.sil.org/OFL).