semvec/pypi-packages huggingface dataset:
terminaltables 3.1.10
Generate simple tables in terminals from a nested list of strings.
License: MIT
Requires Python: >=2.6
Keywords: Shell,Bash,ANSI,ASCII,terminal,tables

## terminaltables

# What is it

Easily draw tables in terminal/console applications from a list of lists of strings. Supports multi-line rows.

- Python 2.6, 2.7, PyPy, PyPy3, 3.3, 3.4, and 3.5+ supported on Linux and OS X.
- Python 2.7, 3.3, 3.4, and 3.5+ supported on Windows (both 32 and 64 bit versions of Python).

📖 Full documentation: https://robpol86.github.io/terminaltables

Quickstart
==========

Install:

```bash
pip install terminaltables
```

Usage:

```python
from terminaltables import AsciiTable

table_data = [
    ['Heading1', 'Heading2'],
    ['row1 column1', 'row1 column2'],
    ['row2 column1', 'row2 column2'],
    ['row3 column1', 'row3 column2']
]
table = AsciiTable(table_data)
print
table.table
```

```bash
+--------------+--------------+
| Heading1     | Heading2     |
+--------------+--------------+
| row1 column1 | row1 column2 |
| row2 column1 | row2 column2 |
| row3 column1 | row3 column2 |
+--------------+--------------+
```

Example Implementations
=======================
![Example Scripts Screenshot](https://github.com/matthewdeanmartin/terminaltables/blob/master/docs/examples.png?raw=true)

Source code for examples:

- [example1.py](https://github.com/matthewdeanmartin/terminaltables/blob/master/example1.py)
- [example2.py](https://github.com/matthewdeanmartin/terminaltables/blob/master/example2.py)
- [example3.py](https://github.com/matthewdeanmartin/terminaltables/blob/master/example3.py)

[Change Log](https://github.com/matthewdeanmartin/terminaltables/blob/master/CHANGELOG.md)
streamlit-pandas-profiling 0.1.3
Pandas Profiling component for Streamlit.
License: MIT
Requires Python: >=3.6

# 📈 Streamlit Pandas Profiling

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

## Installation

```sh
pip install streamlit-pandas-profiling
```

## Getting started

```python
import pandas as pd
import pandas_profiling
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")
pr = df.profile_report()

st_profile_report(pr)
```

## Demo

[![Open in Streamlit][share_badge]][share_link] 

[![Preview][share_img]][share_link]

[share_badge]: https://static.streamlit.io/badges/streamlit_badge_black_white.svg
[share_link]: https://share.streamlit.io/okld/streamlit-gallery/main?p=pandas-profiling
[share_img]: https://raw.githubusercontent.com/okld/streamlit-pandas-profiling/main/preview.png

[github_badge]: https://badgen.net/badge/icon/GitHub?icon=github&color=black&label
[github_link]: https://github.com/okld/streamlit-pandas-profiling

[pypi_badge]: https://badgen.net/pypi/v/streamlit-pandas-profiling?icon=pypi&color=black&label
[pypi_link]: https://pypi.org/project/streamlit-pandas-profiling
streamlit-ace 0.1.1
Ace editor component for Streamlit.
License: MIT
Requires Python: >=3.6

# 📝 Streamlit Ace

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

## Installation

```sh
pip install streamlit-ace
```

## Getting started

```python
import streamlit as st

from streamlit_ace import st_ace

# Spawn a new Ace editor
content = st_ace()

# Display editor's content as you type
content
```

## Demo

[![Open in Streamlit][share_badge]][share_link] 

[![Preview][share_img]][share_link]

[share_badge]: https://static.streamlit.io/badges/streamlit_badge_black_white.svg
[share_link]: https://share.streamlit.io/okld/streamlit-gallery/main?p=ace-editor
[share_img]: https://raw.githubusercontent.com/okld/streamlit-ace/main/preview.png

[github_badge]: https://badgen.net/badge/icon/GitHub?icon=github&color=black&label
[github_link]: https://github.com/okld/streamlit-ace

[pypi_badge]: https://badgen.net/pypi/v/streamlit-ace?icon=pypi&color=black&label
[pypi_link]: https://pypi.org/project/streamlit-ace