# 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. """ from typing import Any, Dict, List import pandas as pd from superset.utils.core import JS_MAX_INTEGER def df_to_records(dframe: pd.DataFrame) -> List[Dict[str, Any]]: data: List[Dict[str, Any]] = dframe.to_dict(orient="records") # TODO: refactor this for row in data: for key, value in list(row.items()): # if an int is too big for JavaScript to handle # convert it to a string if isinstance(value, int) and abs(value) > JS_MAX_INTEGER: row[key] = str(value) return data