Python Space Physics Environment Data Analysis Software (SPEDAS)
Project description
pySPEDAS
pySPEDAS is an implementation of the SPEDAS framework in python.
The Space Physics Environment Data Analysis Software (SPEDAS) framework is written in IDL and contains data loading, data analysis and data plotting tools for various scientific NASA missions.
This package is designed to work with the libraries cdflib and pytplot.
How It Works
CDF files are downloaded from the internet to the local machine. The data from these files is loaded into pytplot objects and can be plotted.
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Install Python
Python 3.5+ is required.
We recommend Anaconda which comes with a suite of packages useful for science.
Install pySPEDAS
To install pySPEDAS, open a command line and type the command:
conda install -c spedas pyspedas
or
pip install pyspedas
Upgrade pySPEDAS
If you have already installed pySPEDAS, you can upgrade to the latest version using:
conda update -c spedas pyspedas
or
pip install --upgrade pyspedas
Running pySPEDAS
Time History of Events and Macroscale Interactions during Substorms (THEMIS) data
After installation, please change the file pyspedas/prefs.ini and set data_dir=C:\Datapy\themis to a writable directory of your choice. This is the local directory where the CDF files will be saved.
To download CDF files for the THEMIS mission, use:
import pyspedas
pyspedas.load_data(mission, dates, probes, instruments, level, downloadonly)
For example:
d = pyspedas.load_data('themis', '2015-12-31', ['tha'], 'state', 'l1', False)
Crib sheets
Folder examples contains some crib sheets to get you started.
Magnetospheric Multiscale (MMS) data
To set your local data directory for MMS, change the local_data_dir option in pyspedas/mms/mms_config.py
To load 1 day of L2 srvy-mode FGM data:
from pyspedas import mms_load_fgm
mms_load_fgm(trange=['2015-10-16', '2015-10-17'], data_rate='srvy')
To load 1 minute of L2 brst-mode FPI electron moments data for probes 3 and 4:
from pyspedas import mms_load_fpi
mms_load_fpi(probe=[3, 4], trange=['2015-10-16/13:06', '2015-10-16/13:07'], data_rate='brst', datatype='des-moms')
Additional Information
For pytplot, see: https://github.com/MAVENSDC/PyTplot
For cdflib, see: https://github.com/MAVENSDC/cdflib
For SPEDAS, see http://spedas.org/blog/
For information on the THEMIS mission, see http://themis.ssl.berkeley.edu/
(This is the permanent location of pyspedas. Previous location for the initial version of pyspedas was: https://github.com/nickssl/pyspedas)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file pyspedas-0.9.9.tar.gz.
File metadata
- Download URL: pyspedas-0.9.9.tar.gz
- Upload date:
- Size: 515.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0.post20200106 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 43fc262a1f60db96af2a2bbead7ab2dcf4170d0ebef1aada40c1d237ce5a4d90 |
|
| MD5 | 6d3a0aebadb44da1a9672946d9b02661 |
|
| BLAKE2b-256 | 3f3872ffa4079f521c5d9d7bd925037d157bac3a8482e66f2920ab45723f5077 |
File details
Details for the file pyspedas-0.9.9-py2.py3-none-any.whl.
File metadata
- Download URL: pyspedas-0.9.9-py2.py3-none-any.whl
- Upload date:
- Size: 590.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0.post20200106 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 024d89878c2e9dd053326bcf65975ee13ed845ebe0a474e2fae99af84cc5f0c6 |
|
| MD5 | 9cf99673e596d0e12544ba6c011f9218 |
|
| BLAKE2b-256 | 2c5a642c2b55bb32ad9382560df33cbc54576f6b46f54889ec2f0d460d48205b |
