plotar 0.8.3

Walk through your data

plotar

plotar - Walk Through your Data in Cardboard VR

This is a prototype to get your data into a Google Cardboard and navigate using the computer keyboard.

Disclaimer: This is in Alpha stage, lot of things can go wrong. Data is transmitted in plain-text over you network and possibly further.

Also the API is very instable.

• Free software: Affero GPL 3

Installation

Prerequisites:

• Python 3 (we use Python 3.7)

It is recommended to use a virtual environment:

python -m venv venv
source venv/bin/activate

The source statement has to be repeated whenever you open a new terminal.

Then install this version

pip install --upgrade git+https://github.com/thomann/plotar#egg=plotar&subdirectory=plotar-py

If you want to use Jupyter, install it to the virtual environment:

pip install jupyterlab

Development

To install this module in Dev-mode, i.e. change files and reload module:

git clone https://github.com/thomann/plotar
cd plotar/plotar-py

It is recommended to use a virtual environment:

python -m venv venv
source venv/bin/activate

Install the version in edit mode:

pip install -e .

In Jupyter you can have reloaded code when you change the files as in:

%load_ext autoreload
%autoreload 2

Usage

import plotar

# connect to running elastic or else start an Open Source stack on your docker
from sklearn import datasets
iris = datasets.load_iris()

plotar.plotar(iris.data, iris.target)

In Jupyter you can open the controller:

plotar.controller()

Features

• Pandas based pipeline
• Support for any extensions - now includes some for Regex, spaCy, VaderSentiment
• Write results to ElasticSearch
• Automatic Kibana dashboard generation
• Have Elastic started in Docker if it is not installed locally or remotely
• Apache License 2.0

Credits

This package was created with Cookiecutter and the [audreyr/cookiecutter-pypackage]https://github.com/audreyr/cookiecutter-pypackage project template.

======= History

0.1.0 (2019-07-11)

• First Version