superset diff 源码

  • 2022-10-20
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superset diff 代码

文件路径:/superset/utils/pandas_postprocessing/diff.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 Dict

from pandas import DataFrame

from superset.constants import PandasAxis
from superset.utils.pandas_postprocessing.utils import (
    _append_columns,
    validate_column_args,
)


@validate_column_args("columns")
def diff(
    df: DataFrame,
    columns: Dict[str, str],
    periods: int = 1,
    axis: PandasAxis = PandasAxis.ROW,
) -> DataFrame:
    """
    Calculate row-by-row or column-by-column difference for select columns.

    :param df: DataFrame on which the diff will be based.
    :param columns: columns on which to perform diff, mapping source column to
           target column. For instance, `{'y': 'y'}` will replace the column `y` with
           the diff value in `y`, while `{'y': 'y2'}` will add a column `y2` based
           on diff values calculated from `y`, leaving the original column `y`
           unchanged.
    :param periods: periods to shift for calculating difference.
    :param axis: 0 for row, 1 for column. default 0.
    :return: DataFrame with diffed columns
    :raises InvalidPostProcessingError: If the request in incorrect
    """
    df_diff = df[columns.keys()]
    df_diff = df_diff.diff(periods=periods, axis=axis)
    return _append_columns(df, df_diff, columns)

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