Digital Meridian Spectrometer
For Geophysical Institute's Poker Flat Digital Meridian Spectrometer, which uses NetCDF
This library is also usable from Matlab, as seen in dmsp.m.
Data sources
Install
python -m pip install -e .
Matlab
Matlab users need:
- Matlab ≥ R2018b
dmsppackage installed into the Python environment associated with Matlab
Usage
LoadMSPdata.py creates many plots.
Use as a Python module is like:
import dmsp
dat = dmsp.load('~/data/myfile.PF')
which returns xarray.Dataset
Notes
You can also graphically browse the files with the ncview program:
apt install ncview
Error: libnetcdf.so.7
if you get
ImportError: libnetcdf.so.7: cannot open shared object file: No such file or directory
try:
apt install libnetcdf-dev
python -m pip install netcdf4
or
conda install netcdf4
Metadata
Release files for dmsp 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| dmsp-0.6.0.tar.gz | 5.7 kB | Without provenance | Details |
Release files / dmsp-0.6.0.tar.gz
| Download URL | dmsp-0.6.0.tar.gz |
|---|---|
| Size | 5.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8025ea98b4141bb899811adfbcdeb33a6a2bf04501d187a5475534fa40ad7c3f
|
|
BLAKE2b-256 checksum How to use checksums |
24d88d4724b9fb652b6a266d3ec75456af7876d6d16c65081afbe7fcc78f5ce7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.23.3 CPython/3.7.0
|
Security for dmsp 0.6.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.