platypus.util package¶

Submodules¶

platypus.util.conversions.add_ll_to_pose_dataframe(df)[source]¶

Converts a UTM position dataframe to also include Lat/Long.

Parameters:	df (pandas.DataFrame) – a UTM dataframe with a time index and columns [easting, northing, altitude, zone, hemi]
Returns:	the original dataframe with the additional columns [longitude, latitude], added in-place
Return type:	pandas.DataFrame

platypus.util.conversions.region_from_points(df)[source]¶

Computes a convex-hull region boundary from the provided ‘pose’ dataframe.

Parameters:	df (pandas.DataFrame) – A dataframe containing longitude and latitude as columns
Returns:	convex hull of positions in pose
Return type:	GeoJSON polyline defining region boundary

platypus.util.conversions.remove_outliers_from_pose_dataframe(df, tolerance=10000)[source]¶

Remove poses more than a certain number of meters from the median pose.

These poses are usually due to GPS initialization error, and typically should be excluded from interpolations. The default tolerance is 10km.

Parameters:	df (pandas.DataFrame) – a UTM dataframe with time index and [easting, northing] columns tolerance (float) – maximum distance in meters from median of dataset
Returns:	A dataframe with rows exceeding the specified tolerance removed
Return type:	pandas.DataFrame

General purpose utility functions.