if max_sample_period is not None:
// add an "off" entry whenever data is lost for > self.max_sample_period
time_delta = np.diff(series.index.values)dropout_dates = series.index[:-1][time_delta > max_sample_period]
max_sample_period_secs = max_sample_period / np.timedelta64(1, "s")
insert_offs = pd.Series(False,
index=dropout_dates +
After Change
if max_sample_period is not None:
// add an "off" entry whenever data is lost for > self.max_sample_period
time_delta = np.diff(series.index.values) / np.timedelta64(1, "s")
dropout_dates = series.index[:-1][time_delta > max_sample_period]
insert_offs = pd.Series(False,
index=dropout_dates +
pd.DateOffset(seconds=max_sample_period))