Metadata-Version: 2.1
Name: pymove
Version: 1.1.1
Summary: A lib python to processing and visualization of trajectories and other spatial-temporal data
Home-page: https://github.com/InsightLab/PyMove
Author: Insight Data Science Lab
Author-email: insightlab@dc.ufc.br
License: MIT
Description: # Use PyMove and go much further...
        
        ---
        
        # Informations
        
        <table>
        <tr>
          <td>Package Status</td>
          <td>
            <a href="https://pypi.org/project/pymove/">
            <img src="https://img.shields.io/pypi/status/pymove.svg" alt="status" />
            </a>
          </td>
        </tr>
        <tr>
          <td>License</td>
          <td>
            <a href="https://github.com/InsightLab/PyMove/blob/developer/LICENSE">
            <img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="license" />
            </a>
        </td>
        </tr>
        <tr>
          <td>Python Version</td>
          <td>
            <a href="https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue">
            <img src="https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue" alt="license" />
            </a>
        </td>
        </tr>
        <tr>
          <td>Build Status</td>
          <td>
            <a href="https://travis-ci.org/InsightLab/PyMove/">
            <img src="https://api.travis-ci.org/InsightLab/PyMove.svg?branch=developer" alt="travis build status" />
            </a>
          </td>
        </tr>
        <tr>
          <td>Downloads</td>
          <td>
            <img src="https://img.shields.io/pypi/dd/pymove" alt="PyPi downloads" />
            </a>
          </td>
        </tr>
        <tr>
          <td>Stars</td>
          <td>
            <a href="https://github.com/InsightLab/PyMove/stargazers">
            <img src="https://img.shields.io/github/stars/InsightLab/PyMove?style=social"/>
            </a>
          </td>
        </tr>
        <tr>
          <td>Forks</td>
          <td>
              <a href="https://github.com/InsightLab/PyMove/network/members">
            <img src="https://img.shields.io/github/forks/InsightLab/PyMove?style=social"/>
            </a>
          </td>
        </tr>
        <tr>
          <td>Issues</td>
          <td>
            <a href="https://github.com/InsightLab/PyMove/issues">
            <img src="https://img.shields.io/github/issues/InsightLab/PyMove"/>
            </a>
          </td>
        </tr>
        </table>
        
        ---
        
        # What is PyMove?
        
        PyMove is a Python library for processing and visualization of trajectories and other spatial-temporal data.
        
        We will also release wrappers to some useful Java libraries frequently used in the mobility domain.
        
        ---
        
        # Main Features
        
        PyMove **proposes**:
        -  A familiar and similar syntax to Pandas;
        -  Clear documentation;
        -  Extensibility, since you can implement your main data structure by manipulating other data structures such as Dask DataFrame, numpy arrays, etc., in addition to adding new modules;
        -  Flexibility, as the user can switch between different data structures;
        -  Operations for data preprocessing, pattern mining and data visualization.
        
        ---
        
        # Github installation
        
        1. Clone this repository
        
        `git clone https://github.com/InsightLab/PyMove`
        
        2. Make a branch developer
        
        `git branch developer`
        
        3. Switch to a new branch 
        
        `git checkout developer`
        
        4. Make a pull of branch
        
        `git pull origin developer`
        
        5. Switch to folder PyMove
        
        `cd PyMove`
        
        6. Now, use this command to use PyMove! 
        
        `import pymove`
        
        ---
        
        # Pip installation
        
        1. pip install pymove
        
        ---
        
        # Examples
        
        You can access examples of how to use PyMove [here](https://github.com/InsightLab/PyMove/tree/developer/examples)
        
        ---
        
        # Papers
        
        (list of publications using/with Pymove)
        
        ---
        
        # Useful list of related libraries and links
        
        - [Handling GPS Data with Python](https://github.com/FlorianWilhelm/gps_data_with_python/tree/master/notebooks)
        - [mplleaflet - Easily convert matplotlib plots from Python into interactive Leaflet web maps](https://github.com/jwass/mplleaflet)
        - [Pykalman](https://github.com/pykalman/pykalman)
        - [Ramer-Douglas-Peucker algorithm](https://github.com/fhirschmann/rdp)
        - [Knee point detection in Python](https://github.com/arvkevi/kneed)
        - [TrajSuite Java Library](https://github.com/lukehb/TrajSuite)
        - [GraphHopper Map-Matching Java Library](https://github.com/graphhopper/map-matching)
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
