This project is used to search for and explore close approaches of near-Earth objects (NEOs), using data from NASA/JPL's Center for Near-Earth Object Studies.

The data used to complete this project can be found under the /data folder.

• Small-Bodies Dataset (neos.csv) - A subset of small bodies are near-Earth objects (NEOs): "comets and asteroids that have been nudged by the gravitational attraction of nearby planets into orbits that allow them to enter the Earth's neighborhood."

• Close Approach Dataset(cad.json) : A close approach occurs when a NEO's orbit path brings it near Earth. From this dataset, you can answer questions such as "On which date(s) does Halley's Comet pass near to Earth?" or "How fast does Eros pass by Earth, on average?"

• Date (--date, --start-date, --end-date)
• Distance (--min-distance, --max-distance)
• Velocity (--min-velocity, --max-velocity)
• Diameter (--min-diameter, --max-diameter)
• Hazardous (--hazardous, --not-hazardous)

# Query for close approaches on 2020-01-01
$ python3 main.py query --date 2020-01-01

# Query for close approaches in 2020 with a velocity of <=50 km/s.
$ python3 main.py query --start-date 2020-01-01 --end-date 2020-12-31 --max-velocity 50

# Multiple filters
$ python3 main.py query --max-distance 0.1 --min-velocity 35 --min-diameter 2.5 --hazardous

# Save (the first) five close approaches on 2020-01-01 to a CSV file.
$ python3 main.py query --date 2020-01-01 --limit 5 --outfile results.csv

# Save (the first) five close approaches on 2020-01-01 to a JSON file.
$ python3 main.py query --date 2020-01-01 --limit 5 --outfile results.json

All tests are located in the /tests folder Run python3 -m unittest to run all unit tests