Gts.interpolate
- class pyacs.gts.Gts.Gts(code=None, lat=None, lon=None, h=None, X0=None, Y0=None, Z0=None, t0=None, data=None, data_xyz=None, data_corr_neu=None, data_corr_xyz=None, offsets_dates=[], offsets_values=None, outliers=[], annual=None, semi_annual=None, velocity=None, ifile=None, log=None, metadata=None)[source]
- interpolate(date='day', kind='linear', gap=10, in_place=False, verbose=False)
Interpolate the time series at regular or given dates.
- Parameters:
date (str or ndarray, optional) – ‘day’ performs daily interpolation; alternatively a 1D numpy array with datetime or decimal year.
kind (str, optional) – scipy.interpolate.interp1d kind argument (e.g. ‘linear’).
gap (int or float, optional) – Maximum gap in days for interpolation; series is split at larger gaps.
in_place (bool, optional) – If True, modify in place; otherwise return a new Gts.
verbose (bool, optional) – Verbose mode.
- Returns:
Interpolated time series (new instance unless in_place).
- Return type: