superset dataframe 源码
superset dataframe 代码
文件路径：/superset/dataframe.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.
""" Superset utilities for pandas.DataFrame.
"""
import logging
from typing import Any, Dict, List
import pandas as pd
from superset.utils.core import JS_MAX_INTEGER
logger = logging.getLogger(__name__)
def _convert_big_integers(val: Any) -> Any:
"""
Cast integers larger than ``JS_MAX_INTEGER`` to strings.
:param val: the value to process
:returns: the same value but recast as a string if it was an integer over
``JS_MAX_INTEGER``
"""
return str(val) if isinstance(val, int) and abs(val) > JS_MAX_INTEGER else val
def df_to_records(dframe: pd.DataFrame) -> List[Dict[str, Any]]:
"""
Convert a DataFrame to a set of records.
:param dframe: the DataFrame to convert
:returns: a list of dictionaries reflecting each single row of the DataFrame
"""
if not dframe.columns.is_unique:
logger.warning(
"DataFrame columns are not unique, some columns will be omitted."
)
columns = dframe.columns
return list(
dict(zip(columns, map(_convert_big_integers, row)))
for row in zip(*[dframe[col] for col in columns])
)
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