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-0.0.6.dev3.tar.gz (164.2 kB view details)

Uploaded Source

Built Distribution

resistics-0.0.6.dev3-py3-none-any.whl (209.5 kB view details)

Uploaded Python 3

File details

Details for the file resistics-0.0.6.dev3.tar.gz.

File metadata

  • Download URL: resistics-0.0.6.dev3.tar.gz
  • Upload date:
  • Size: 164.2 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-0.0.6.dev3.tar.gz
Algorithm Hash digest
SHA256 c6167a527788fa88560015489ffc71ba4237d996a9d9b32efc4ef3e07199a85e
MD5 3be5e9f5d552b5bcd0f16d6cd3a045e1
BLAKE2b-256 bf08c1b7c59545307e2da25f8b4da84f9dd2116d9aecc9cd82aee28d85c46f5f

See more details on using hashes here.

File details

Details for the file resistics-0.0.6.dev3-py3-none-any.whl.

File metadata

  • Download URL: resistics-0.0.6.dev3-py3-none-any.whl
  • Upload date:
  • Size: 209.5 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-0.0.6.dev3-py3-none-any.whl
Algorithm Hash digest
SHA256 1b51fa85025e48b9933bc9354c3bc307513eeb81d9d37692e7f0a6162308d56c
MD5 0fbb0a695cea9b691e69a22c9c824a05
BLAKE2b-256 f5e992b9e537a5f99987d6c99bee44e7d6b61136fbbe6309b0791640fb333836

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