3.16. cpforager.processing.interpolate_lat_lon

cpforager.processing.interpolate_lat_lon(df, interp_datetime, add_proxy=False)

Interpolate longitude and latitude at a given datetime.

Parameters:

  • df (pandas.DataFrame) – dataframe with datetime, longitude``and ``latitude columns.

  • interp_datetime (pandas.DatetimeIndex) – desired datetime for interpolation.

  • add_proxy (bool) – add an interp_proxy column to the resulting dataframe if True.

Returns:

a dataframe with datetime, longitude and latitude interpolated at the desired datetime.

Return type:

pandas.DataFrame

Inerpolation is performed using NumPy. The interpolation proxy is computed as the duration in seconds between the desired datetime and the closest mesured position.

Warning

Computing the interpolation proxy significantly slows down the computation.