by Lisa Tauxe, Lori Jonestrask, Nick Swanson-Hysell and Nick Jarboe
This notebook demonstrates the use of PmagPy command line scripts. Additional background and documentation can be found in the PmagPy Cookbook.
PmagPy is a software package for analyzing paleomagnetic and rock magnetic data using Python. If you need to install Python and PmagPy locally, follow the install instructions. This notebook demonstrates the use of PmagPy functions on the command line. For examples of how to use PmagPy scripts in a Python environment, see the static version of PmagPy.ipynb or if you are running jupyter notebook, you can open it locally.
For information on the science of paleomagnetism and rock magnetism, see Essentials of Paleomagnetism.
You are currently looking at static html, but you may want to run this notebook interactively. To do so, you'll need to first install Python and PmagPy (see the Cookbook for install instructions). You can then launch the notebook from your command line (see more details here).
- These examples are meant to function from within the PmagPy-data directory and calls are relative to that (PmagPy directory for developers).
- To specify a working directory, many programs have the command line argument -WD.
The notebook is one of a series of notebooks that demonstrate the functionality of PmagPy. The other notebooks are:
- PmagPy_introduction.ipynb This notebook introduces PmagPy and lists the functions that are demonstrated in the other notebooks.
- PmagPy_calculations.ipynb This notebook demonstrates many of the PmagPy calculation functions such as those that rotate directions, return statistical parameters, and simulate data from specified distributions.
- PmagPy_plots_analysis.ipynb This notebook demonstrates PmagPy functions that can be used to visualize data as well as those that conduct statistical tests that have associated visualizations.
- PmagPy_MagIC.ipynb This notebook demonstrates how PmagPy can be used to read and write data to and from the MagIC database format including conversion from many individual lab measurement file formats.
To use the functions in this notebook, we have to import the PmagPy modules pmagplotlib, pmag and ipmag and some other handy functions. This is done in the following code.
In order to access the example data, these examples are meant to be run in the PmagPy-data directory (PmagPy directory for developers).
You are currently looking at static html, but you may want to run this notebook interactively. To do so, you'll need to first install Python and PmagPy (see the Cookbook for install instructions). You can then launch the notebook from your command line (see more details here).