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A library for analyzing user mobility patterns

Project description

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())

Project details


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mobipy-1.0.0.tar.gz (6.5 kB view hashes)

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mobipy-1.0.0-py2-none-any.whl (9.0 kB view hashes)

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