Skip to main content

EMagPy

Python API for inversion/modelling of frequency domain electromagnetic data (FDEM).

EMagPy is divided into a python API and a standalone graphical user interface (GUI). It aims to be a powerfull but simple tool for inverting EMI data obtain from conductimeter.

Getting started

Clone the repository:

git clone https://gitlab.com/hkex/emagpy

Change to the src directory and run ui.py to start the GUI.

cd emgapy/src
python ui.py # this will start the GUI

The python API is available by simply importing the emagpy module from the python shell:

import emagpy
k = Problem()
k.createSurvey('./test/coverCrop.csv')
k.invert(forwardModel='CS') # specify the forward model (here the Cumulative Sensitivty of McNeil1980)
k.showResults() # display the section
k.showMisfit() # display predicted and observed apparent EC
k.showOne2one() # 1:1 line of misfit of apparent EC

Check out the jupyter notebook examples in emagpy/examples/.

Download files

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

Source Distribution

emagpy-1.4.5.tar.gz (5.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

emagpy-1.4.5-py3-none-any.whl (227.9 kB view details)

Uploaded Python 3

File details

Details for the file emagpy-1.4.5.tar.gz.

File metadata

  • Download URL: emagpy-1.4.5.tar.gz
  • Upload date:
  • Size: 5.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.12.13

File hashes

Hashes for emagpy-1.4.5.tar.gz
Algorithm Hash digest
SHA256 b3102c2dd1ac1d3b443b3719a883aa73bd3f11f58e13f343f84544f01a96484d
MD5 767cc663f7fa2709d126dad330f52cd9
BLAKE2b-256 7189158164429d6131e9388c14e996c335bea113dea92e4644cb5611633a659b

See more details on using hashes here.

File details

Details for the file emagpy-1.4.5-py3-none-any.whl.

File metadata

  • Download URL: emagpy-1.4.5-py3-none-any.whl
  • Upload date:
  • Size: 227.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.12.13

File hashes

Hashes for emagpy-1.4.5-py3-none-any.whl
Algorithm Hash digest
SHA256 3a436a279b4edfc87948320424af55b9a80cd07eb178fc1c93ce9f18b53454e8
MD5 ce73da49ce7da2d381c6811955c0906c
BLAKE2b-256 8ea7accb9d9c3afdd17be80f3fa86489e0f11a3809975a5b4725c60afe54e3f4

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

1.4.5 This release

2 files

1.4.2

2 files

1.4.1

2 files

1.4.0

2 files

1.3.0

2 files

1.2.2

1 file

1.2.1

2 files

1.1.0

2 files

1.0.0

2 files

0.0.4

2 files

0.0.3

2 files

0.0.2

2 files

0.0.1

2 files

Supported by

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