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A collection of functions for reading, displaying, transforming and analyzing geophysical data.

Project description

interpies is a collection of functions to read and analyse geophysical data, especially non-seismic data such as magnetic and gravity data.

Table of Contents

Getting Started

Requirements

Interpies requires Python 3.x and makes use of the following libraries:

  • numpy

  • matplotlib

  • rasterio version > 1.0

  • gdal

  • scikit-learn

  • scikit-image

Optional:

  • obspy for reading and writing SEG-Y files (seismic data)

  • geopandas for reading survey line data

  • ipykernel for working with interpies in Jupyter notebooks

Installation

Dependencies

I recommend using Anaconda for the installation of both Python and most of the dependencies.

Once Anaconda has been installed, I would suggest creating a new environment for working with interpies. If working with SEG-Y files is not required (so you will not be able to load the segy_io module), you could start with this command:

conda create --name interpies gdal scikit-learn scikit-image matplotlib ipykernel python=3.6

Next, install rasterio. You could try using conda install rasterio. However, the only version available on conda-forge might be the old 0.36. The alpha version 1.09a or better is required for interpies to work. So carefully check which version is going to be installed first.

On Windows, if the version does not match, simply download the binaries for the required version from Christoph Gohlke’s website. Then run, for example:

pip install rasterio-1.0a9-cp36-cp36m-win_amd64.whl

And that should do. If you encounter other problems with this part of the installation, please refer to the rasterio installation.

If you need SEG-Y files, then you need obspy, which, at the time of writing, would conflict with matplotlib 2.0. So installing obspy would limit matplotlib to version 1.5.3. Use:

conda create --name interpies gdal scikit-learn scikit-image matplotlib obspy ipykernel python=3.6

Optionally, you could also install geopandas, which is great for reading line data from geophysical surveys. And don’t forget to install ipykernel to run the notebooks in the interpies environment.

interpies

Installing interpies itself is done directly with:

pip install interpies

Or you could do it manually by first cloning the current repository:

$ git clone https://github.com/jobar8/interpies.git

Then run the following command in the repository directory:

$ python setup.py install

Examples

The basic usage of interpies is to load gridded data into a grid object, which then gives access to various methods for transforming and displaying the data. So, loading magnetic data and creating a map with the grid is simply done with:

import interpies
grid1 = interpies.open(r'..\data\brtpgrd.gxf')
grid1.show()
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For more advanced examples, please see the notebooks.

Documentation

Under construction.

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