Files
superset2/superset/dataframe.py
Rob DiCiuccio 6537d5ed8c Replace pandas.DataFrame with PyArrow.Table for nullable int typing (#8733)
* Use PyArrow Table for query result serialization

* Cleanup dev comments

* Additional cleanup

* WIP: tests

* Remove explicit dtype logic from db_engine_specs

* Remove obsolete  column property

* SupersetTable column types

* Port SupersetDataFrame methods to SupersetTable

* Add test for nullable boolean columns

* Support datetime values with timezone offsets

* Black formatting

* Pylint

* More linting/formatting

* Resolve issue with timezones not appearing in results

* Types

* Enable running of tests in tests/db_engine_specs

* Resolve application context errors

* Refactor and add tests for pyodbc.Row conversion

* Appease isort, regardless of isort:skip

* Re-enable RESULTS_BACKEND_USE_MSGPACK default based on benchmarks

* Dataframe typing and nits

* Renames to reduce ambiguity
2020-01-03 11:55:39 -05:00

36 lines
1.3 KiB
Python

# 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 d in data:
for k, v in list(d.items()):
# if an int is too big for JavaScript to handle
# convert it to a string
if isinstance(v, int) and abs(v) > JS_MAX_INTEGER:
d[k] = str(v)
return data