semvec/pypi-packages huggingface dataset:
infrastructure-diagrams 0.0.6
Create infrastructure diagrams from configuration files (YAML and JSON) by using Graphviz
Requires Python: >=3.6

infrastructure-diagrams
=======================

infrastructure-diagrams is a python package that allows creating
infrastructure diagrams/graphs from configuration files (YAML and JSON).
The package utilizes `Graphviz <https://www.graphviz.org/>`__ to
generate the diagrams. The functionality is exposed in the command line
by the Unix command file.

*Note: Some features are currently undocumented.*

Requirements
------------

The package requires ``python >= 3.6``. It has only been tested on Linux
as the intended use was for automatically generating diagrams in a CI.

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

The current stable version of infrastructure-daigrams is available on
pypi and can be installed by running
``pip install infrastructure-diagrams``.

Other sources:

-  pypi: http://pypi.python.org/pypi/infrastructure-diagrams/
-  github: https://github.com/kotlarz/infrastructure-diagrams/

Usage
-----

.. code:: bash

    $ infrastructure-diagrams
    usage: infrastructure-diagrams [-h] [-d DISPLAY] [-o OUTPUT] [-r RENDERER] file

    positional arguments:
      file                  path to diagram file

    optional arguments:
      -h, --help            show this help message and exit
      -d DISPLAY, --display DISPLAY
                            display the diagram after rendering
      -o OUTPUT, --output OUTPUT
                            output path for the diagram, including filetype (.svg, .png, etc.)
      -r RENDERER, --renderer RENDERER
                            output renderer used for rendering (cairo, gd, etc.)

Example:
``$ infrastructure-diagrams -o example.png examples/example.yaml``

Configuration files
-------------------

The configuration files extend the Graphviz `Node, Edge and Graph
Attributes <https://www.graphviz.org/doc/info/attrs.html>`__, meaning
you can customize the diagram / graph as needed.

Examples:

-  ``example.yaml`` |Output of example.yaml|

-  ``misc.yaml`` |Output of misc.yaml|

-  ``iot.yaml`` |Output of iot.yaml|

Example diagram configuration files can be found under the
`examples/ <https://github.com/kotlarz/infrastructure-diagrams/>`__
directory.

.. |Output of example.yaml| image:: https://raw.githubusercontent.com/kotlarz/infrastructure-diagrams/master/examples/example.png
.. |Output of misc.yaml| image:: https://raw.githubusercontent.com/kotlarz/infrastructure-diagrams/master/examples/misc.png
.. |Output of iot.yaml| image:: https://raw.githubusercontent.com/kotlarz/infrastructure-diagrams/master/examples/iot.png
vec2face 0.0.1a1
Converts vectors into drawings.
Requires Python: >=3.5
Keywords: visualization

# Vec2Face

Functions that illustrate a vector as a drawing of a face.

The functions are derived from the [Helen dataset](http://www.ifp.illinois.edu/~vuongle2/helen/) [1]. This project is inspired by [Chernoff Faces](https://en.wikipedia.org/wiki/Chernoff_face). The approach for creating the functions is explained in [this blog post](https://jessicastringham.net/2019/11/06/learning-chernoff-faces/)

In theory, vectors near each other will have similar faces.

## Usage

The package includes pretrained functions for illustrating data points.

Initialize by providing the number of dimensions of the data points in the source dataset.

```python
v2f = Vec2Face(dims=16)
v2f.draw_vec(vec)
```

## Dev

    pip install -e .
    pip install -r requirements-dev.txt


[1] Interactive Facial Feature Localization Vuong Le, Jonathan Brandt, Zhe Lin, Lubomir Boudev, Thomas S. Huang. ECCV2012
mapsbr 0.0.4
Getting brazilian geospatial data with Python
Requires Python: >=3.6


MapsBR - Get brazilian geospatial data with Python

This package helps you get brazilian geospatial data from IBGE sources directly into a GeoPandas structure. It also has functionalities to retrieve data from an ArcGIS server.

Learn more about it in our [repository](https://github.com/phelipetls/mapsbr) or [documentation](https://mapsbr.readthedocs.io).