superset aggregate 源码
superset aggregate 代码
文件路径：/superset/utils/pandas_postprocessing/aggregate.py
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from typing import Any, Dict, List
from pandas import DataFrame
from superset.utils.pandas_postprocessing.utils import (
_get_aggregate_funcs,
validate_column_args,
)
@validate_column_args("groupby")
def aggregate(
df: DataFrame, groupby: List[str], aggregates: Dict[str, Dict[str, Any]]
) -> DataFrame:
"""
Apply aggregations to a DataFrame.
:param df: Object to aggregate.
:param groupby: columns to aggregate
:param aggregates: A mapping from metric column to the function used to
aggregate values.
:raises InvalidPostProcessingError: If the request in incorrect
"""
aggregates = aggregates or {}
aggregate_funcs = _get_aggregate_funcs(df, aggregates)
if groupby:
df_groupby = df.groupby(by=groupby)
else:
df_groupby = df.groupby(lambda _: True)
return df_groupby.agg(**aggregate_funcs).reset_index(drop=not groupby)
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