semvec/pypi-packages huggingface dataset:
magicpandas 0.0.4
A dead simple interface for manipulating pandas dataframes
Requires Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4

\#\#\#\#\# UNDER CONSTRUCTION \#\#\#\#\# 

### magicpandas
*magicpandas* makes working with pandas dead simple.

### Main Features
* MagicDataFrame subclasses DataFrame to make existing methods more intuitive as well as add new methods
* MagicDataFrame adds verbose labels that are used by default when displaying data
* MagicDataFrame supports Django ORM  
  * inspectdf uses DataFrame column types to produce a Django model class (cf. [inspectdb](https://docs.djangoproject.com/en/3.0/howto/legacy-databases/#auto-generate-the-models))
  * to_django saves the DataFrame to SQL using Django ORM's [bulk_update](https://docs.djangoproject.com/en/3.0/ref/models/querysets/#bulk-update) and [bulk_create](https://docs.djangoproject.com/en/3.0/ref/models/querysets/#bulk-create).

##### Installation
`pip install magicpandas`

##### Examples
```python
from magicpandas import MagicDataFrame
mdf = MagicDataFrame(df)
mdf2 = mdf.drop('*e', axis=1) # df2 drops all columns ending in "e"
mdf.browse() # opens the DataFrame in MS Excel with nice formatting
mdf.browse(client='webbrowser') # opens the DataFrame as html displayed in Chrome with nice formatting
mdf.graph()  # Opens a graph in Chrome using the excellent Altair library using sensible encodings
mdf.inspect_for_django()  # prints text that corresponds to a Django model definition
```

### Philosophy
* Convention over configuration
* Employs Altair rather than than matplotlib because it's web first and based on 
the [Grammar of Graphics](https://idl.cs.washington.edu/papers/vega-lite/)
* Employs MS Excel for data browsing
* There should be little gap between intention and implementation
Firo 1.2.0
A Realtime, No SQL Database
Requires Python: >=3.6

# Firo

![PyPI](https://img.shields.io/pypi/v/Firo?color=brightgreen) - ![License](https://img.shields.io/pypi/l/Firo?color=red) - ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/Firo?color=brightgreen)

Firo is a small and efficient database system for python programs that eases learning to use a database for begenners at programing

Firo is also very functional and can be used in professional application due to the fact that it is very robust and functional

## Version 1.2 is Here â””[Ã²â€¿â€¿Ã³]â”˜, Release Notes At the bottom 


## Usage

Below is a simple example that shows how to use Firo

```` python

import Firo

con = Firo.Start("data.db")

con.set("msg", "Hello")

print(con.get("msg"))

````

## Installation

There are 2 ways to install this application

#### Method 1 | Ofline installation

1. Install the latest version of Firo from the releases tab

2. install with this command

```` bash

$ pip install Firo-1.1.2.whl

````

#### Method 2 | Online Installation

1. Install The latest version of Firo from PyPi With this command

```` bash

$ pip install Firo

````

### Version 1.2!!!

- Added New Update, Version and Finalized Remove Function

- Created Clear exceptions with error codes

- Now we use unittest for testing