Skip to main content

Python wrapper for the MEOS C Library.

Project description

MEOS Logo

MEOS (Mobility Engine, Open Source) is a C library which enables the manipulation of temporal and spatio-temporal data based on MobilityDB's data types and functions.
PyMEOS is a Python library built on top of MEOS using CFFI which presents a set of classes to manipulate spatio-temporal information

Usage

Installation

pip install pymeos

PyMEOS wheel should be compatible with any system, but it is possible that the pre-built distribution is not available for PyMEOS CFFI for some OS/Architecture.
If it is not available, see the source installation notes on PyMEOS CFFI's readme on how to proceed

Sample code

IMPORTANT Before using any PyMEOS function, always call pymeos_initialize. Otherwise, the library will crash with a Segmentation Fault error. You should also always call pymeos_finalize at the end of your code.

from pymeos import pymeos_initialize, pymeos_finalize, TGeogPointInst, TGeogPointSeq

# Important: Always initialize MEOS library
pymeos_initialize()

sequence_from_string = TGeogPointSeq(string='[Point(10.0 10.0)@2019-09-01 00:00:00+01, Point(20.0 20.0)@2019-09-02 00:00:00+01, Point(10.0 10.0)@2019-09-03 00:00:00+01]')
print(f'Output: {sequence_from_string}')

sequence_from_points = TGeogPointSeq(instant_list=[TGeogPointInst(string='Point(10.0 10.0)@2019-09-01 00:00:00+01'), TGeogPointInst(string='Point(20.0 20.0)@2019-09-02 00:00:00+01'), TGeogPointInst(string='Point(10.0 10.0)@2019-09-03 00:00:00+01')], lower_inc=True, upper_inc=True)
speed = sequence_from_points.speed()
print(f'Speeds: {speed}')

# Call finish at the end of your code
pymeos_finalize()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pymeos-1.1.3a5.tar.gz (79.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pymeos-1.1.3a5-py3-none-any.whl (114.0 kB view details)

Uploaded Python 3

File details

Details for the file pymeos-1.1.3a5.tar.gz.

File metadata

  • Download URL: pymeos-1.1.3a5.tar.gz
  • Upload date:
  • Size: 79.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pymeos-1.1.3a5.tar.gz
Algorithm Hash digest
SHA256 5ee0d5bf76abe8aa06ae0289da7f33315358c5cb939c0f144df1683ab2748e4f
MD5 b1aec112dda64ed60db44a911cbafa77
BLAKE2b-256 008b656e75870126ace15412c560a29c2cece6fe4d1048ca11c0ba6174978d6a

See more details on using hashes here.

File details

Details for the file pymeos-1.1.3a5-py3-none-any.whl.

File metadata

  • Download URL: pymeos-1.1.3a5-py3-none-any.whl
  • Upload date:
  • Size: 114.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pymeos-1.1.3a5-py3-none-any.whl
Algorithm Hash digest
SHA256 1f91b606b6876cb76af100ea3e6aae2e0eef726c0ba8b225058cf5e76843d005
MD5 a1d1ac57ad4a2b13d23e305d998e9d57
BLAKE2b-256 41de2a919603d2d4726983612d06811d31721c9f5d67de3ecf74ab8db0083c33

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page