Skip to main content

Robust magnetotelluric processing package

Project description

Welcome

Resistics is a native Python 3 package for the processing of magnetotelluric (MT) data. It incorporates standard robust processing methods and adopts a modular approach to processing which allows for customisation and future improvements to be quickly adopted.

About

Resistics began as a set of python classes to help analyse noisy MT timeseries data acquired in northern Switzerland through increased use of statistics and time window based features. Since then, it has grown into a MT data processing package. The name is an amalgamation of resistivty and statistics...resistics!

Audience

Resistics is intended for people who use magnetotelluric methods to estimate the subsurface resistivity. This may be for the purposes of furthering geological understanding, for geothermal prospecting or for other purposes.

Getting started

Resistics can be installed using pip,

python -m pip install --user resistics

or possibly,

python3 -m pip install --user resistics

depending on how your Python 3 install is named.

The next step after installing is to visit www.resistics.io and read the documentation. For those unfamiliar with resistics, the features, conventions and tutorial sections are a good way to become more comfortable using the package.

Open-source

Resistics is available for free under the MIT licence. The resistics source code can be found in the GitHub repository. Contributors are welcome.

Support and feature requests

Support and feature requests can be submitted on the in the GitHub repository page.

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

resistics-0.0.5rc1.tar.gz (150.6 kB view details)

Uploaded Source

Built Distribution

resistics-0.0.5rc1-py3-none-any.whl (194.8 kB view details)

Uploaded Python 3

File details

Details for the file resistics-0.0.5rc1.tar.gz.

File metadata

  • Download URL: resistics-0.0.5rc1.tar.gz
  • Upload date:
  • Size: 150.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.20.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.1

File hashes

Hashes for resistics-0.0.5rc1.tar.gz
Algorithm Hash digest
SHA256 cd33ac6968687f9956b31d7c055337d2cd5c950f7f3ee03a2a1ee8acd953d9f3
MD5 c627c575cb5040a6c2132a09bb645a91
BLAKE2b-256 73cf07d35c208492aa4d9ecd9d92d21659bc9d80655a6cbccae46b664ed7aa6c

See more details on using hashes here.

File details

Details for the file resistics-0.0.5rc1-py3-none-any.whl.

File metadata

  • Download URL: resistics-0.0.5rc1-py3-none-any.whl
  • Upload date:
  • Size: 194.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.20.1 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.1

File hashes

Hashes for resistics-0.0.5rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 517eee46a9bcda97a5baf5658c9428b295c6ff7b2f6c9dd0d9a6475b7c4966fc
MD5 a734317738c8c28662a4d79614185400
BLAKE2b-256 62a0a3582280e89ded86b99941e4a86db238f29ffbf7d31fdc316348fda40138

See more details on using hashes here.

Supported by

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