process_hdf.py 文件源码

def fill_nans(df, delta=None):
    """
    """
    if not delta:
        dt_diff = NP.diff(df.index.values)
        delta_timedelta64 = min(dt_diff)
        delta_seconds = delta_timedelta64 / NP.timedelta64(1, 's')
        delta = timedelta(seconds=delta_seconds)
    logger.info('Using delta = {} (s)'.format(delta.total_seconds()))
    index_new = PD.date_range(start=df.index[0],
                              end=df.index[-1],
                              freq=delta)
    missing = sorted(set(index_new) - set(df.index))
    if missing:
        logger.warning('Missing time indices (filled by NaNs):')
        for x in missing:
            logger.warning(x)
    return df.reindex(index_new, copy=False), delta