def adjustments_from_deltas_no_sids(dense_dates, sparse_dates, column_idx, column_name, asset_idx, deltas):
 ad_series = deltas[AD_FIELD_NAME]
 idx = (0, 0)
 return {dense_dates.get_loc(kd): overwrite_from_dates(ad_series.loc[kd], dense_dates, sparse_dates, idx, v) for (kd, v) in deltas[column_name].iteritems()}

def adjustments_from_deltas_no_sids ( dense_dates , sparse_dates , column_idx , column_name , asset_idx , deltas ) : ad_series = deltas [ AD_FIELD_NAME ] idx = ( 0 , 0 ) return { dense_dates . get_loc ( kd ) : overwrite_from_dates ( ad_series . loc [ kd ] , dense_dates , sparse_dates , idx , v ) for ( kd , v ) in deltas [ column_name ] . iteritems ( ) }
collect all the adjustments that occur in a dataset that does not have a sid column .