Skip to main content
Donate to the Python Software Foundation or Purchase a PyCharm License to Benefit the PSF! Donate Now

A Python implementation of BAYSPLINE

Project description

https://travis-ci.org/brews/baysplinepy.svg?branch=master

An open source Python package for alkenone UK‘37 calibration.

baysplinepy is based on the original BAYSPLINE software for MATLAB (https://github.com/jesstierney/BAYSPLINE). BAYSPLINE is a Bayesian calibration for the alkenone paleothermometer, as published in Tierney & Tingley (2018).

NOTE that this package is under active development. Code and documentation may not be complete and may change in the near future.

Example

First, load packages and an example dataset:

import numpy as np
import bayspline as bsl

example_file = bsl.get_example_data('tierney2016-p178-15p.csv')
d = np.genfromtxt(example_file, delimiter=',', names=True)

This dataset (from Tierney et al. 2015) has three columns giving core depth (cm), sediment age (calendar years BP), and UK‘37.

We can predict sea-surface temperatures (SST) from UK‘37 with bsl.predict_sst():

prediction = bsl.predict_sst(d['uk37'], prior_std=10)

To see actual numbers from the prediction, directly parse prediction.ensemble or use prediction.percentile() to get the 5%, 50% and 95% percentiles.

You can also plot your prediction with bsl.predictplot() or bsl.densityplot().

Alternatively, we can make inferences about UK‘37 from SST with bsl.predict_uk():

sst = np.arange(1, 25)
prediction = bsl.predict_uk(sst)

Installation

Install baysplinepy in conda with:

$ conda install baysplinepy -c sbmalev

To install with pip, run:

$ pip install baysplinepy

Unfortunately, baysplinepy is not compatible with Python 2.

Support and development

License

baysplinepy is available under the Open Source GPLv3 (https://www.gnu.org/licenses).

Project details


Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
baysplinepy-0.0.2-py3-none-any.whl (100.6 kB) Copy SHA256 hash SHA256 Wheel py3
baysplinepy-0.0.2.tar.gz (88.7 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page