semvec/pypi-packages huggingface dataset:
st-ydata-profiling 0.1.4
YData Profiling component for Streamlit.
License: MIT
Requires Python: >=3.7

# st_ydata_profiling
This is a slightly tweaked version of the `streamlit-pandas-profiling` component but with the latest dependencies. I've created this for my another ongoing project whose dependencies kept on clashing with the [streamlit-pandas-profiling](https://github.com/arpy8/st_ydata_profiling) package by [okld](https://github.com/okld).


[![GitHub][github_badge]][github_link] [![PyPI][pypi_badge]][pypi_link] 

## Installation

```sh
pip install st_ydata_profiling
```

## Getting started

```python
import pandas as pd
from st_ydata_profiling import display_profile_report
import streamlit as st

from streamlit_pandas_profiling import st_profile_report

df = pd.read_csv("https://storage.googleapis.com/tf-datasets/titanic/train.csv")
display_profile_report(df)
```

[github_badge]: https://badgen.net/badge/icon/GitHub?icon=github&color=black&label
[github_link]: https://github.com/arpy8/st_ydata_profiling

[pypi_badge]: https://badgen.net/pypi/v/st_ydata_profiling?icon=pypi&color=black&label
[pypi_link]: https://pypi.org/project/st_ydata_profiling
chamd 0.5.12
Conversion and cleaning of CHILDES CHA files into PaQu Plaintext Metadata Format
License: MIT
Requires Python: >=3.5, <4

[![Python package](https://github.com/UUDigitalHumanitieslab/chamd/actions/workflows/python-package.yml/badge.svg?branch=develop)](https://github.com/UUDigitalHumanitieslab/chamd/actions/workflows/python-package.yml)
[![Python package](https://badge.fury.io/py/chamd.svg)](https://pypi.python.org/pypi/chamd/)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.8091301.svg)](https://doi.org/10.5281/zenodo.8091301)
# CHAMD
Conversion and cleaning of CHILDES CHA files into PaQu Plaintext
Metadata Format (to convert to Alpino).

## Installation and usage
```bash
pip install chamd
chamd --help
```

Running from project:
```bash
python -m chamd --help
```

## Import as library
This way the library can be used to read CHAT file (contents) from an external application.

```python
from chamd import ChatReader
reader = ChatReader()
chat = reader.read_file('example.cha') # or read_string

for item in chat.metadata:
    print(item)
for line in chat.lines:
    for item in line.metadata:
        print(item)
    print(line.text)
```

## Upload to PyPi
```bash
python setup.py sdist
twine upload dist/*
```

## Run tests
```bash
python -m unittest discover tests/
```