filtering.py 文件源码

def discard_where_data_missing(data, field):
    """ Discard subjects where data for a particular field is missing. 

    Assumes the missing data value is NaN. Non-numeric values
    are never considered missing, even the empty string.

    """
    keep_indices = []
    for i, value in enumerate(data.subject_data[field].values):
        if not (np.isreal(value) and np.isnan(value)):
            keep_indices.append(i)
    return select_subjects(data, keep_indices)