hrcn accessor

save(filename, **kwargs)	Save dataset as filename.
sel_id(track_id[, track_id_name])
trackswhere(condition[, track_id_name])
interp_time([freq, track_id_name, prog_bar])	Interpolate track data at a given frequency.

info

get_hemisphere([lat_name])
add_hemisphere([lat_name])
get_basin([lon_name, lat_name, convention, crs])
add_basin([lon_name, lat_name, convention, crs])
get_is_land([lon_name, lat_name, ...])
add_is_land([lon_name, lat_name, ...])
get_is_ocean([lon_name, lat_name, ...])
add_is_ocean([lon_name, lat_name, ...])
get_country([lon_name, lat_name, ...])
add_country([lon_name, lat_name, ...])
get_continent([lon_name, lat_name, ...])
add_continent([lon_name, lat_name, ...])
get_landfall_points([lon_name, lat_name, ...])
get_category(var_name[, bins, labels, ...])	Calculate a generic category from a variable and a set of thresholds.
add_category(var_name[, new_var_name, bins, ...])	Add a generic category to the dataset as a new variable.
get_beaufort_category([wind_name, wind_units])
add_beaufort_category([wind_name, wind_units])	Add the SSHS category to the dataset.
get_season([track_id_name, lat_name, ...])	Derive the season for each track based on latitude and time.
add_season([track_id_name, lat_name, ...])	Add the season as a new variable to the dataset.
get_time_components([time_name])	Expand the time variable into year, month, day, and hour.
add_time_components([time_name])	Add year, month, day, and hour as new variables to the dataset.
get_inferred_track_id(*variable_names)
add_inferred_track_id(*variable_names[, ...])

calc

get_density([lon_name, lat_name, method])
get_track_duration([time_name, track_id_name])
get_gen_vals([time_name, track_id_name])
get_apex_vals(var_name[, track_id_name, stat])
get_time_from_genesis([time_name, track_id_name])
add_time_from_genesis([time_name, track_id_name])
get_time_from_apex([time_name, ...])
add_time_from_apex([time_name, ...])
get_delta([var_name, track_id_name])
add_delta([var_name, track_id_name])	Add the distance calculation to the dataset.
get_rate([var_name, time_name, track_id_name])
add_rate([var_name, time_name, track_id_name])
get_distance([lon_name, lat_name, ...])	Compute the distance between points along a track.
add_distance([lon_name, lat_name, ...])	Add the distance calculation to the dataset.
get_azimuth([lon_name, lat_name, ...])	Compute the azimuth between points along a track
add_azimuth([lon_name, lat_name, ...])	Add the azimuth calculation to the dataset.
get_translation_speed([lon_name, lat_name, ...])	Compute the translation speed along tracks.
add_translation_speed([lon_name, lat_name, ...])	Add the translation speed calculation to the dataset.
get_corral_radius([lon_name, lat_name, ...])
add_corral_radius([lon_name, lat_name, ...])

tc

get_ace([wind_name, sum_by, threshold, ...])	Calculate Accumulated Cyclone Energy (ACE) for each point.
add_ace([wind_name, threshold, wind_units])	Add ACE calculation to the dataset.
get_pace([pressure_name, wind_name, model, ...])	Calculate Pressure-based Accumulated Cyclone Energy (PACE) for each point.
add_pace([pressure_name, wind_name, model, ...])	Add PACE calculation to the dataset.
get_saffir_simpson_category([wind_name, ...])	Determine the Saffir-Simpson Hurricane Scale (SSHS) category.
add_saffir_simpson_category([wind_name, ...])	Add the SSHS category to the dataset.
get_pressure_category([slp_name, ...])	Determine the pressure category based on the selected convention.
add_pressure_category([slp_name, ...])	Add the pressure category to the dataset.
get_beta_drift([lat_name, wind_name, rmw_name])
add_beta_drift([lat_name, wind_name, rmw_name])

plot

plot_tracks([lon_name, lat_name, ...])
plot_density([lon_name, lat_name, density_kws])
plot_fancyline([lon_name, lat_name, ...])