semvec/pypi-packages huggingface dataset:
jsonConverter 1.0.3
Json converter
Requires Python: >=3.5

# jsonconverter
A one step stop for all Json conversions.

# Installation
<pre>
pip install jsonConverter
</pre>

# Usage

<pre>
from jsonConverter import jsonConverter
json_converter = jsonConverter(ANY_JSON)
</pre>

## Invoke jsonConverter from json file
<pre>
from jsonConverter import jsonConverter
json_converter = jsonConverter.from_file(json_path)
</pre>

## Invoke jsonConverter from json string
<pre>
from jsonConverter import jsonConverter
json_converter = jsonConverter.from_string(json_str)
</pre>

# Get htmltable from json
<pre>
from jsonConverter import jsonConverter
json_converter = jsonConverter(ANY_JSON)
json_converter.get_html_table()
</pre>

## How to change default attributes for html table
Below attributes are exposed. So, pass these parameters to get_html_table method. 

<pre>
table_border_color
header_cell_border_color
header_background_color
header_text_color
header_font_size
</pre>

### Example 1 : get html table with header background color as red
<pre>
from jsonConverter import jsonConverter
json_converter = jsonConverter(ANY_JSON)
json_converter.get_html_table(header_background_color = "#ff0000")
</pre>
microbiome 0.0.1
Microbiome Toolbox
Requires Python: >=3.6

<div align="center">
  <p>
  <img src="https://media.giphy.com/media/ZutFV1eVDiXUlbBT5B/giphy.gif" alt="Baby animation from https://dribbble.com/niguangzhushi" width="270" />
  </p>
  <p>
    <a href="">
      <img alt="First release" src="https://img.shields.io/badge/release-v1.0-brightgreen.svg" />
    </a>
  </p>

  <p>
    <strong>Early Life Microbiome Toolbox</strong>
  </p>
  
  <p>
    <a href="https://TODO.github.io">
      Website
    </a>
  </p>
</div>


# Early Life Microbiome Toolbox

**Note:**
```bash
# building package
#python setup.py sdist bdist_wheel
python setup.py develop
```

## Songbird

```
source activate microbiome

# These instructions are identical to the Linux (64-bit) instructions (or download manually from the link)
wget https://data.qiime2.org/distro/core/qiime2-2020.11-py36-linux-conda.yml
conda env create -n qiime2-2020.11 --file qiime2-2020.11-py36-linux-conda.yml
# OPTIONAL CLEANUP
rm qiime2-2020.11-py36-linux-conda.yml

pip install songbird==0.8.2

songbird multinomial \
	--input-biom ../../temp2/data/oral-collapsed-table.biom \
	--metadata-file ../../temp2/data/oral_trimmed_metadata.txt \
	--formula "C(label, Treatment('other'))" \
	--epochs 10000 \
	--differential-prior 0.5 \
	--training-column Test \
	--summary-interval 1 \
	--summary-dir results
```

```
songbird multinomial --input-biom ../../temp2/data/oral-collapsed-table.biom --metadata-file ../../temp2/data/oral_trimmed_metadata.txt --formula "C(label, Treatment('other'))" --epochs 10000 --differential-prior 0.5 --training-column Test --summary-interval 1 --summary-dir results
```