Data Directory

The GMN provides a Data Directory of meteor trajectory CSV data. The gmn-python-api library allows you to read from the directory (see data_directory API Reference section for function and variable details).

Example 1

from gmn_python_api import data_directory as dd
from gmn_python_api import meteor_trajectory_reader

# Get meteor data from the 2019-07-24
traj_file_content = dd.get_daily_file_content_by_date("2019-07-24")
traj_df = meteor_trajectory_reader.read_data(traj_file_content)

Example 2

from gmn_python_api import data_directory as dd
from gmn_python_api import meteor_trajectory_reader

import pandas as pd

# Get meteor data from the 2019-07-24 and 2019-07-25, and combine into a single dataframe
traj_file_content_1 = meteor_trajectory_reader.read_data(
    dd.get_daily_file_content_by_date("2019-07-24"))
traj_file_content_2 = meteor_trajectory_reader.read_data(
    dd.get_daily_file_content_by_date("2019-07-25"))
traj_df = pd.concat([traj_file_content_1, traj_file_content_2])

Example 3

from gmn_python_api import data_directory as dd
from gmn_python_api import meteor_trajectory_reader

# Get meteor data from July 2019
traj_file_content = dd.get_monthly_file_content_by_date("2019-07")
traj_sum_df = meteor_trajectory_reader.read_data(traj_file_content)

Fields available in the Pandas Dataframes can be found in the Data Schemas section.

More info can be found in the data_directory API Reference section.