pyart.util

Description

Miscellaneous utility functions.

The location and names of these functions within Py-ART may change between versions without depreciation, use with caution.

Functions

angular_mean(angles)	Compute the mean of a distribution of angles in radians.
angular_mean_deg(angles)	Compute the mean of a distribution of angles in degrees.
angular_std(angles)	Compute the standard deviation of a distribution of angles in radians.
angular_std_deg(angles)	Compute the standard deviation of a distribution of angles in degrees.
angular_texture_2d(image, N, interval)	Compute the angular texture of an image.
column_vertical_profile(radar, latitude, ...)	Given the location (in latitude, longitude) of a target, return the rays that correspond to radar column above the target, allowing for user defined range of azimuths and range gates to be included within this extraction.
cross_section_ppi(radar, target_azimuths[, ...])	Extract cross sections from a PPI volume along one or more azimuth angles.
cross_section_rhi(radar, target_elevations)	Extract cross sections from an RHI volume along one or more elevation angles.
datetime_from_dataset(dataset[, epoch])	Return a datetime for the first time in a netCDF Dataset.
datetime_from_grid(grid[, epoch])	Return a datetime for the volume start in a Grid.
datetime_from_radar(radar[, epoch])	Return a datetime for the first ray in a Radar.
datetimes_from_dataset(dataset[, epoch])	Return an array of datetimes for the times in a netCDF Dataset.
datetimes_from_radar(radar[, epoch])	Return an array of datetimes for the rays in a Radar.
determine_sweeps(radar[, max_offset, ...])	Determine the number of sweeps using elevation data (PPI scans) or azimuth data (RHI scans) and update the input radar object
estimate_noise_hs74(spectrum[, navg, nnoise_min])	Estimate noise parameters of a Doppler spectrum.
for_azimuth(radar_latitude, target_latitude, ...)	Calculation of inital bearing alongitudeg a great-circle arc Known as Forward Azimuth Angle.
get_column_rays(radar, azimuth)	Given the location (in latitude,longitude) of a target, return the rays that correspond to radar column above the target.
get_field_location(radar, latitude, longitude)	Given the location (in latitude, longitude) of a target, extract the radar column above that point for further analysis.
image_mute_radar(radar, field, mute_field, ...)	This function will split a field based on thresholds from another field.
interval_mean(dist, interval_min, interval_max)	Compute the mean of a distribution within an interval.
interval_std(dist, interval_min, interval_max)	Compute the standard deviation of a distribution within an interval.
is_vpt(radar[, offset])	Determine if a Radar appears to be a vertical pointing scan.
join_radar(radar1, radar2)	Combine two radar instances into one.
mean_of_two_angles(angles1, angles2)	Compute the element by element mean of two sets of angles.
mean_of_two_angles_deg(angle1, angle2)	Compute the element by element mean of two sets of angles in degrees.
rolling_window(a, window)	Create a rolling window object for application of functions eg: result=np.ma.std(array, 11), 1).
simulated_vel_from_profile(radar, profile[, ...])	Create simulated radial velocities from a profile of horizontal winds.
sphere_distance(radar_latitude, ...)	Calculated of the great circle distance between radar and target
subset_radar(radar, field_names[, rng_min, ...])	Creates a subset of the radar object along new dimensions.
texture(radar, var)	Determine a texture field using an 11pt stdev texarray=texture(pyradarobj, field).
texture_along_ray(radar, var[, wind_size])	Compute field texture along ray using a user specified window size.
to_vpt(radar[, single_scan])	Convert an existing Radar object to represent a vertical pointing scan.