superset resample 源码
superset resample 代码
文件路径：/superset/utils/pandas_postprocessing/resample.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
#
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# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from typing import Optional, Union
import pandas as pd
from flask_babel import gettext as _
from superset.exceptions import InvalidPostProcessingError
from superset.utils.pandas_postprocessing.utils import RESAMPLE_METHOD
def resample(
df: pd.DataFrame,
rule: str,
method: str,
fill_value: Optional[Union[float, int]] = None,
) -> pd.DataFrame:
"""
support upsampling in resample
:param df: DataFrame to resample.
:param rule: The offset string representing target conversion.
:param method: How to fill the NaN value after resample.
:param fill_value: What values do fill missing.
:return: DataFrame after resample
:raises InvalidPostProcessingError: If the request in incorrect
"""
if not isinstance(df.index, pd.DatetimeIndex):
raise InvalidPostProcessingError(_("Resample operation requires DatetimeIndex"))
if method not in RESAMPLE_METHOD:
raise InvalidPostProcessingError(
_("Resample method should in ") + ", ".join(RESAMPLE_METHOD) + "."
)
if method == "asfreq" and fill_value is not None:
_df = df.resample(rule).asfreq(fill_value=fill_value)
elif method == "linear":
_df = df.resample(rule).interpolate()
else:
_df = getattr(df.resample(rule), method)()
return _df
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