https://github.com/igorbenav/dexter

Data Exploration Terser
https://github.com/igorbenav/dexter

data-analysis data-science eda exploratory-data-analysis pandas

Last synced: about 2 months ago
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Data Exploration Terser

• Host: GitHub
• URL: https://github.com/igorbenav/dexter
• Owner: igorbenav
• License: bsd-3-clause
• Created: 2021-03-26T23:57:10.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-01-20T12:33:18.000Z (11 months ago)
• Last Synced: 2024-10-01T09:31:22.528Z (3 months ago)
• Topics: data-analysis, data-science, eda, exploratory-data-analysis, pandas
• Language: Python
• Homepage:
• Size: 481 KB
• Stars: 10
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# dexter

[![PyPI version](https://badge.fury.io/py/dexter.svg)](https://badge.fury.io/py/dexter)

[![GitHub license](https://img.shields.io/github/license/igormagalhaesr/dexter)](https://github.com/igormagalhaesr/dexter/blob/main/LICENSE.txt)

[![Documentation Status](https://readthedocs.org/projects/dexter/badge/?version=latest)](https://dexter.readthedocs.io/en/latest/?badge=latest)

___

>data exploration terser

## What is dexter?

**dexter** is a lightweight Python package built on top of **numpy** and **pandas** that allows fast data exploration 

for multiple structured table files in a folder. It's a high-level tool suitable for a first contact with a dataset

composed of multiple dataframes.

![](img/dexter.png)

## Features

  - Importing multiple table files with **readm_csv()**

  - Saving DataFrames and Names with the **FrameMap** class

  - Applying pandas methods to multiple DataFrames at once

## Installing

PyPI:

```sh

pip install dexter

```

https://pypi.org/project/dexter/

## Usage 

Importing dexter:

```python

import dexter as dxt

```

Reading multiple dataframes in a folder:

```python

dataframes = dxt.readm_csv("./folder/")

```

Displaying results:

```python

dataframes.display()

```

```Out:```



  
df1

  

    

      col1

      col2

      col3

    

    

      0

      value1

      $3

    

    

      1

      value2

      $5

    

    

      2

      value3

      $7

    

  





  
df2

  

    

      first

      second

      third

    

    

      0

      one

      17%

    

    

      1

      two

      19%

    

    

      2

      three

      23%

    

  






Names and Frames

```python

names = dataframes.names

frames = dataframes.frames

```

Multiple Dataframes Types

```python

dataframes.dtypes()

```

Multiple Missing Values

```python

dataframes.multiple_missing()

```

Multiple Descriptions

```python

dataframes.describe()

```

![](img/first_use.png)

![](img/describe.png)

![](img/memory_usage.png)

For more concrete examples, check the [notebook](Example.ipynb)

## Contributing

1. Fork it (https://github.com/igormagalhaesr/dexter)

2. Create your feature branch (`git checkout -b feature/fooBar`)

3. Commit your changes (`git commit -am 'Add some fooBar'`)

4. Push to the branch (`git push origin feature/fooBar`)

5. Create a new Pull Request

## Dependencies

- [NumPy](https://www.numpy.org)

- [Pandas](https://pandas.pydata.org/)

- [IPython](https://ipython.org/)

## License

Distributed under the [BSD 3](LICENSE.txt) license. See ``LICENSE.txt`` for more information. 

## Contact

Igor Magalhaes – [@igormagalhaesr](https://twitter.com/igormagalhaesr) – [email protected]

[github.com/igormagalhaesr](https://github.com/igormagalhaesr/)