blob: e8cd0d13e665180e3840e8ecc7f5d7d0d900dbf9 [file] [log] [blame]
# 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