Skip to main content

Python package for processing magnetotelluric data

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-1.0.0a0.tar.gz (89.5 kB view details)

Uploaded Source

Built Distribution

resistics-1.0.0a0-py3-none-any.whl (96.3 kB view details)

Uploaded Python 3

File details

Details for the file resistics-1.0.0a0.tar.gz.

File metadata

  • Download URL: resistics-1.0.0a0.tar.gz
  • Upload date:
  • Size: 89.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for resistics-1.0.0a0.tar.gz
Algorithm Hash digest
SHA256 6fe2d3fa98ca285f0f9526385dd2b3fc8a555d198f82fd1965ec35d3852c0fba
MD5 60e14b0e057d1ada7b7f00ef7ae9a42a
BLAKE2b-256 7d6093abdfa51ab9a0784b5ff5265ddd871130d699a96cd07027ee3fb7b76e0c

See more details on using hashes here.

File details

Details for the file resistics-1.0.0a0-py3-none-any.whl.

File metadata

  • Download URL: resistics-1.0.0a0-py3-none-any.whl
  • Upload date:
  • Size: 96.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for resistics-1.0.0a0-py3-none-any.whl
Algorithm Hash digest
SHA256 6804b8091f76c323729bd33c20efc2e3d8bb8f6a66668291212d9658b7545cbd
MD5 f53b5c14c77cb738d6fef912e6c66e1d
BLAKE2b-256 0d0a1050070baa813a9bfda485d0eb44428f91fb9d7a865ac7bc52380b724270

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