| # 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 |