def work(table, keys):
df = data_utils.load_table(table,
usecols=keys,
dtype={k: pd.Int64Dtype() for k in keys})
groupby_ss = df.groupby(keys).size()
bct = groupby_ss.to_frame(name="weight").reset_index()
for key in keys:
kct = df.groupby(key).size().rename(f"{key}.cnt")
bct = bct.merge(kct, how="left", left_on=key, right_index=True)
return bct.astype(np.int64, copy=False)
def load_data_table(table, join_keys):
return data_utils.load_table(table,
dtype={k: pd.Int64Dtype() for k in join_keys})
def load_data_table(table, join_keys, usecols):
return data_utils.load_table(table,
usecols=usecols,
dtype={k: np.int64
for k in join_keys})
