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. You could start with this command:
conda create --name interpies gdal scikit-learn scikit-image matplotlib ipykernel obspy 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.
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()
For more advanced examples, please see the notebooks.
Documentation
Under construction.
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