Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

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()

Metadata

Release files for pymeos 1.1.3rc1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pymeos 1.1.3rc1
File Size Uploaded
pymeos-1.1.3rc1.tar.gz 88.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pymeos 1.1.3rc1
File Interpreter ABI Platform
pymeos-1.1.3rc1-py3-none-any.whl Python 3 none any Details

Total release size: 217.2 kB

Release files / pymeos-1.1.3rc1.tar.gz

Download URL pymeos-1.1.3rc1.tar.gz
Size 88.4 kB
Tags Source
SHA-256 checksum
How to use checksums
dbe24718cb3221105becca91008e12f833d2853141219b075a4fa1c37fbfe789
BLAKE2b-256 checksum
How to use checksums
0b357447418d08c885385f626e9d2fda075f4be1a631547c77d96cf03cd3b492
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.12

Release files / pymeos-1.1.3rc1-py3-none-any.whl

Download URL pymeos-1.1.3rc1-py3-none-any.whl
Size 128.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
66cc852f36209fbe32e696d713e9b97b56488ac853e02b68253f6edf2fbb30d2
BLAKE2b-256 checksum
How to use checksums
8349e2655ff89a09840a5dd566b15e874b1fa05ece6ffb9c8ac2af4f42ce0a89
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.12

Release history Release notifications | RSS feed

1.2.1

2 release files

1.2.0

2 release files

1.1.5

2 release files

1.1.4

2 release files

1.1.3

2 release files

This release

1.1.3rc1 This release

2 release files

1.1.2

2 release files

1.1.1

2 release files

1.1.0

2 release files

1.0.4

2 release files

1.0.3

2 release files

1.0.2

2 release files

1.0.1

2 release files

1.0.0

2 release files

0.1

14 release files

0.0.9

15 release files

0.0.8

6 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page