A Python package for visualizing the output from the Enlil solar wind code.
Documentation: https://enlilviz.readthedocs.io.
Features
Read in Enlil data files into an xarray dataset for analysis:
import enlilviz as ev
run = ev.read_enlil2d('wsa_enlil.latest.suball.nc')
evo = ev.read_evo('evo.earth.nc')
Plot time series and slices with the data:
import enlilviz.plotting as evplot evplot.TimeSeries(run, 'Earth', 'den') evplot.LongitudeSlice(run, 'den') evplot.LatitudeSlice(run, 'vel')
You can also generate common figures that are pre-arranged:
forecaster = evplot.ForecasterPlot(run) forecaster.save()
Or iterate through the entire time series to make a movie:
for plot in iter(forecaster):
plot.save()
Metadata
Release files for enlilviz 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| enlilviz-0.2.0.tar.gz | 27.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| enlilviz-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 44.1 kB
Release files / enlilviz-0.2.0.tar.gz
| Download URL | enlilviz-0.2.0.tar.gz |
|---|---|
| Size | 27.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.1 CPython/3.11.0
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Release files / enlilviz-0.2.0-py3-none-any.whl
| Download URL | enlilviz-0.2.0-py3-none-any.whl |
|---|---|
| Size | 17.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.11.0
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