Metadata-Version: 2.1
Name: dxter
Version: 0.0.1
Summary: Data Exploration Terser
Home-page: https://github.com/igormagalhaesr/dexter
Author: Igor Magalhaes
Author-email: igor.magalhaes.r@gmail.com
License: BSD 3
Description: # dexter
        >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.
        
        ![](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
        
        Not available for installing yet, but available for download and import at: https://github.com/igormagalhaesr/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:```
        
        <div style="float: left;margin-right:10px">
          <table>
            <tr>
              <td><b>col1</b></td>
              <td><b>col2</b></td>
              <td><b>col3</b></td>
            </tr>
            <tr>
              <td>0</td>
              <td>value1</td>
              <td>$3</td>
            </tr>
            <tr>
              <td>1</td>
              <td>value2</td>
              <td>$5</td>
            </tr>
            <tr>
              <td>2</td>
              <td>value3</td>
              <td>$7</td>
            </tr>
          </table>
        </div>
        <div style="float: left">
          <table>
            <tr>
              <td><b>first</b></td>
              <td><b>second</b></td>
              <td><b>third</b></td>
            </tr>
            <tr>
              <td>0</td>
              <td>one</td>
              <td>17%</td>
            </tr>
            <tr>
              <td>1</td>
              <td>two</td>
              <td>19%</td>
            </tr>
            <tr>
              <td>2</td>
              <td>three</td>
              <td>23%</td>
            </tr>
          </table>
        </div>
        <br />
        
        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()
        ```
        
        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) – igormagalhaesr@gmail.com
        
        [github.com/igormagalhaesr](https://github.com/igormagalhaesr/)
        
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: License :: OSI Approved :: BSD License
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: OS Independent
Classifier: Framework :: IPython
Description-Content-Type: text/markdown
