Usage

Simple meteor analysis example:

from gmn_python_api import data_directory as dd
from gmn_python_api import meteor_trajectory_reader

# Analyse recorded meteor data for the 24th of July 2019
traj_file_content = dd.get_daily_file_content_by_date("2019-07-24")

# Read data as a Pandas DataFrame
traj_df = meteor_trajectory_reader.read_data(traj_file_content)

print(f"{traj_df['Vgeo (km/s)'].max()} km/s was the fastest geostationary velocity")
# Output: 65.38499 km/s was the fastest geostationary velocity

print(f"{traj_df.loc[traj_df['IAU (code)'] == 'PER'].shape[0]} Perseid meteors")
# Output: 3 Perseid meteors

print(f"Station #{traj_df['Num (stat)'].mode().values[0]} recorded the most meteors")
# Output: Station #2 recorded the most meteors

The meteor trajectory data model can be loaded offline:

from gmn_python_api.meteor_trajectory_schema import get_model_meteor_trajectory_dataframe

traj_df = get_model_meteor_trajectory_dataframe()

See the Data Directory section for details about how to access meteor trajectory data using the GMN Data Directory.

See the REST API section for details about how to access meteor trajectory data using the GMN REST API.

See the Data Schemas section for meteor trajectory DataFrame features.

See the API Reference section for function and variable definitions.