A Python package to detect and compensate for shifting lag times in ecosystem time series

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for amp335 from gravatar.com amp335

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GNU General Public License v3 (GPLv3))
  • Author: Lukas Hörtnagl
  • Tags ecosystem, eddy covariance, fluxes, time series, lag, timeshift
  • Requires: Python >=3.6
Classifiers

Project description

About

todo

Installation

todo

Via Anaconda

todo

Via pip

todo

Testing

todo

Examples

todo

Publications

todo

Support

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for amp335 from gravatar.com amp335

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GNU General Public License v3 (GPLv3))
  • Author: Lukas Hörtnagl
  • Tags ecosystem, eddy covariance, fluxes, time series, lag, timeshift
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

This version

0.0.16

Download files

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

Source Distribution

dyco-0.0.16.tar.gz (33.0 kB view hashes)

Uploaded Source

Built Distribution

dyco-0.0.16-py3-none-any.whl (50.1 kB view hashes)

Uploaded Python 3

Supported by

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