Metadata-Version: 2.1
Name: allvissone
Version: 0.1.1
Summary: Install all Data Science Visualization package in single line
Home-page: https://github.com/Sunilkpraja/allvissone
Author: Sunilkpraja
Author-email: sunilkumar.prajapati9689@gmail.com
License: UNKNOWN
Keywords: matplotlib,seaborn,bokeh,altair,Plotly,ggplot,pygal,Data Science,Package,Data science all visualization packages,Package,allvissone
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
License-File: LICENCE


# Import all Data Science python visualization package in single line



This package helps to setup your All Data Science python visualization package in single line.



Developed by Sunilkumar Prajapati.



## allvissone



allvissone is a python package offering a single line for all data science visualization. 





### Installation







#### Dependencies



`allvissone` is tested to work under Python 3.7+ and greater. The dependency requirements are based on the `allvissone` package update release:



- `matplotlib`(latest) - https://matplotlib.org/

- `seaborn`(latest) - https://seaborn.pydata.org/

- `bokeh`(latest) - https://docs.bokeh.org/en/latest/

- `altair`(latest) - https://altair-viz.github.io/getting_started/installation.html

- `Plotly`(latest) - https://plotly.com/python/

- `ggplot`(latest) - https://ggplot2.tidyverse.org/reference/ggplot.html

- `pygal`(latest) - http://www.pygal.org/en/stable/installing.html





#### Installation



* datascience is currently available on the PyPi's repository and you can install it via pip:



```bash

pip install -U allvissone

```



* If you prefer, you can clone it and run the setup.py file. Use the following commands to get a copy from GitHub and install all dependencies:



```bash

git clone https://github.com/Sunilkpraja/allvissone.git

cd allvissone

pip install .

```



* Or install using pip and GitHub:



```bash

pip install -U git+https://github.com/Sunilkpraja/allvissone.git

```

