pymove 1.1.1

A lib python to processing and visualization of trajectories and other spatial-temporal data

Use PyMove and go much further...

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Informations

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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.

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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.

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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

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Pip installation

1. pip install pymove

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Examples

You can access examples of how to use PyMove here

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Papers

(list of publications using/with Pymove)

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Useful list of related libraries and links

• Handling GPS Data with Python
• mplleaflet - Easily convert matplotlib plots from Python into interactive Leaflet web maps
• Pykalman
• Ramer-Douglas-Peucker algorithm
• Knee point detection in Python
• TrajSuite Java Library
• GraphHopper Map-Matching Java Library