semvec/pypi-packages huggingface dataset:
PandasDataFrame 1.0.2
Pandas DataFrame Application
Keywords: python,dataframe,pandas,selenium

- [About](#about)
- [Demo](#demo)
- [Usage](#usage)
- [Features](#features)
- [More Info](#more-info)

## About

PandasDataFrame is a simple Python project for viewing,
analyzing  and  plotting Pandas DataFrames.

Final project will make possible getting data
from a web API, csv file or web scrapping.

I used Pyqt5 to create a GUI for this project with some basic functionalities.
This GUI is not design to look good, just to make the project functional,as
my intention with this project was to learn to code not to design GUI.

Working on: cleaning and documenting the code

## Demo

![img.png](img.png)



## Usage
  Main usage of this Project:
- Get data from different sources (local computer,API,Selenium)
- Perform different actions on the DataFrame
- Analyze the data
- Visualize data (plotting)


```python
#import pandas as pd
#import bokeh
#import requests
#import numpy

```

PandasDataFrame comes with 3 sample datasets that will download on first use.
- Covid DataSet
- FIFA Dataset


## Features
- Register and Login a user based on Sqlite DB info
- Open/Save *.csv files
- DataFrame operations: Data Head
  - Show Column Data,
  - Show Row Data,
  - Rename Column, 
  - Delete Column
-DataFrame analysis:
  - Add new column
  - Filter column
  - Split columns (if data have separators)
  - Select a range of columns 
- DataFrame visualization
  - Matplotlib 
  - Bokeh
- Get data (*.csv) using Selenium

## More Info

**Issues, feedback and pull requests are welcome.**

This project is still in version 1.0.1 and subject to further changes.

If you like this project remember to leave a ⭐!
sharez 0.1.0
Share files easily inside your local network
Requires Python: >=3.7

# sharez

sharez allows to share directories to your local network from your terminal.

![demo](https://user-images.githubusercontent.com/50829834/205449576-61926b53-c855-464c-9fbf-4caa75b99c88.png)

This is basically a copy of [parvardegr/sharing](https://github.com/parvardegr/sharing), but written in Python. Also, it's less advanced. I kept it as simple as possible.

## Installation

```sh
pip install sharez
```

## Usage

```sh
sharez <directory_path>
```

Use `sharez -h` for more details.

## License

Distributed under the MIT License. See LICENSE for more information.