enlilviz

A Python package for visualizing output from the Enlil code.

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

A Python package for visualizing the output from the Enlil solar wind code.

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()

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.2.0

Nov 28, 2022

0.1.0

Apr 27, 2020

0.0.1

Feb 17, 2020

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Nov 28, 2022 Source

Uploaded Nov 28, 2022 Python 3

Hashes for enlilviz-0.2.0.tar.gz
Algorithm	Hash digest
SHA256	`d6ada6dbb2d5313a63cc9fd74f558b1b341d974356c89efaac042d15df013a98`
MD5	`572f8073c5c192d3d0fce4ee1cf07238`
BLAKE2b-256	`bff7377a2a01424098363ceac50bb2c9532530b44c1cf3f285a65bec7cd26023`

Hashes for enlilviz-0.2.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`d54102d8e426ac6857fdf982c84c6aebbc0a1e6c8e3567a79cd8765e3e10fb9c`
MD5	`549027c214a2a63dea01bf24d5e0cc25`
BLAKE2b-256	`78acf7e0dfb23f0e9ef6399aefdc2dbd382e826a06f1a43c81da009ab2206273`