Nasa Weather Events
I was 🚢🛳⛴ through twitter & saw that @shannon_crabill posted about
import pandas, geoviews.feature, hvplot.pandas, bs4 as soup, requests; __import__('requests_cache').install_cache('nasa'); __import__('holoviews').extension('matplotlib')
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pandas.read_json('https://api.nasa.gov/assets/json/apis.json').set_index('name')['summary'.split()]
| summary | |
|---|---|
| name | |
| APOD | Astronomy Picture of the Day |
| Asteroids NeoWs | Near Earth Object Web Service |
| DONKI | Space Weather Database Of Notifications, Knowl... |
| Earth | Unlock the significant public investment in ea... |
| EONET | The Earth Observatory Natural Event Tracker |
| EPIC | Earth Polychromatic Imaging Camera |
| Exoplanet | Programmatic access to NASA's Exoplanet Archiv... |
| GeneLab Search | Programmatic interface for GeneLab's public da... |
| Insight | Mars Weather Service API |
| Mars Rover Photos | Image data gathered by NASA's Curiosity, Oppor... |
| NASA Image and Video Library | API to access the NASA Image and Video Library... |
| Patents | Structured, searchable developer access to NAS... |
| Satellite Situation Center | System to cast geocentric spacecraft location ... |
| SSD/CNEOS | Solar System Dynamics and Center for Near-Eart... |
| Techport | API to make NASA technology project data avail... |
| TLE API | Two line element data for earth-orbiting objec... |
| Vesta/Moon/Mars Trek WMTS | A Web Map Tile Service for the Vesta, Moon, an... |
The cell below explores "EONET" - The Earth Observatory Natural Event Tracker using pandas & hvplot.
df = pandas.read_json("https://eonet.sci.gsfc.nasa.gov/api/v2.1/events?limit=10000")['events'].apply(pandas.Series).set_index('id')
df = df.categories.apply(pandas.Series).stack().apply(pandas.Series).reset_index(1, drop=True).title.rename('event').pipe(df.join); del df['categories']
df = df.geometries.apply(pandas.Series).stack().apply(pandas.Series).join(df).reset_index(-1, drop=True); del df['geometries']
df = df.coordinates.apply(pandas.Series).rename(columns=dict(zip((0,1), "xy"))).join(df); del df['coordinates']
df.date = pandas.to_datetime(df.date)
df = df[df.x.apply(lambda x: not isinstance(x, list))]
(geoviews.feature.ocean * geoviews.feature.borders * df.hvplot.scatter('x', 'y', geo=True, color='event', alpha=.4, size=300)).opts(fig_inches=20)
Written on September 25, 2019