mobipy 1.0.0

A library for analyzing user mobility patterns

mobipy is a Python 3 library for analyzing user movement patterns from geolocated data.

mobipy brings together metrics and functions frequently used to calculate user mobility patterns. It was developed with a focus on usability and compatibility with multiple data sets, facilitating the tasks of research and data analysis.

Mobipy is tested against Python 3.6 and 3.7.

Installation

Install using pip with:

pip install mobipy

Or, download a wheel or source archive from PyPI.

Available metrics

• Radius of gyration;
• Home detection;
• User displacement distance;
• Group by closeness;
• Activity centers;

Using mobipy metrics

dataIdentifier = Identifier("latitude", "longitude", "local_time", "start_time", "end_time", "item_id")
path = "data.csv"
dataframe = pd.read_csv(path)
result = metrics.radius_of_gyration(dataframe=dataframe,  ##use keyword parameters
                                        				 dataIdentifier=dataIdentifier, 
                                        				 selector= Selector())