def _resample_time(trj: TrajaDataFrame,
step_time: Union[float, int, str],
errors="coerce"):
if not is_datetime_or_timedelta_dtype(trj.index):
raise Exception(f"{trj.index.dtype} is not datetime or timedelta.")
try:
df = trj.resample(step_time).interpolate(method="spline", order=2)
except ValueError as e:
if len(e.args
) > 0 and "cannot reindex from a duplicate axis" in e.args[0]:
if errors == "coerce":
logger.warning("Duplicate time indices, keeping first")
trj = trj.loc[~trj.index.duplicated(keep="first")]
df = (trj.resample(step_time).bfill(limit=1).interpolate(
method="spline", order=2))
else:
logger.error("Error: duplicate time indices")
raise ValueError("Duplicate values in indices")
return df
def _resample_time(trj: TrajaDataFrame, step_time: Union[float, int]):
if not is_datetime_or_timedelta_dtype(trj.index):
raise Exception(f"{trj.index.dtype} is not datetime or timedelta.")
return trj.resample(step_time).agg({"x": np.mean, "y": np.mean})